System and method of mapping product attributes between different schemas

Information

  • Patent Grant
  • 11631124
  • Patent Number
    11,631,124
  • Date Filed
    Tuesday, October 20, 2020
    3 years ago
  • Date Issued
    Tuesday, April 18, 2023
    a year ago
Abstract
A system is described for mapping product attributes between schemas of e-commerce websites. Using a pre-defined reverse mapping, a mapping server populates a master attribute table from product attributes and taxonomy categorizations defined in a source schema. Using a pre-defined assignment mapping, the mapping server maps the master attributes in the master attribute table to product attributes and taxonomy categorizations in the target schema.
Description
STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT

Not Applicable.


BACKGROUND
1. The Field of the Present Disclosure

The present disclosure relates generally to electronic commerce (“e-commerce”).


2. Description of Related Art

Business conducted over the Internet, referred to as e-commerce, has grown dramatically with the proliferation of consumer electronic devices. For example, online enterprises conduct e-commerce with users through e-commerce websites made available on a network, such as the Internet.


To assist users in locating desired products, e-commerce websites often organize products using taxonomies. Taxonomies are ordered classifications of information, which may be used for organizing information in a way that makes it more accessible for retrieval. The typical form of a taxonomy is hierarchical. For example, at the top levels of a hierarchy, general terms are used to describe the information. Beneath the top levels, more descriptive terms that refine the top-level terms are used. As such, a hierarchical taxonomy may be represented as a tree of information nodes, in which each node inherits all of its predecessors' attributes, and descriptive terms and other forms of metadata may be used to identify the nodes. On an e-commerce website, users navigate through the product taxonomy by clicking on the appropriate links that represent a hierarchical taxonomy.


Products may be categorized in a taxonomy according to their product attributes pursuant to an automated process. Alternatively, merchants may manually select one or more categories of the taxonomy for a product listing.


Increasingly, e-commerce website operators allow third parties, often referred to as “partners” or “product sellers,” to list products on their websites. Often times, the third party sellers desire to list their products on multiple e-commerce websites.


One difficulty facing product sellers that list products on multiple e-commerce websites is that each e-commerce website may have its own unique taxonomy and product attribute fields, sometimes referred to herein as a “schema.” That is, for each e-commerce website, sellers typically manually enter product attributes and product taxonomy information because this information is not easily transferable between different e-commerce websites due to the unique schema, i.e., taxonomy and product attribute fields, of each of the websites.


It would be an improvement of the art to provide an automated process that allows product sellers to list products on different e-commerce websites having unique schemas without having to manually enter information. It would be a further improvement to provide a system and method for automatic mapping between difference schemas.


The features and advantages of the present disclosure will be set forth in the description that follows, will be apparent from the description, or may be learned by the practice of the present disclosure without undue experimentation. The features and advantages of the present disclosure may be realized and obtained by means of the instruments and combinations particularly pointed out in the appended claims.





BRIEF DESCRIPTION OF THE DRAWINGS

The features and advantages of the disclosure will become apparent from a consideration of the subsequent detailed description presented in connection with the accompanying drawings in which:



FIG. 1 is a block diagram of a system according to an illustrative embodiment of the present disclosure;



FIG. 2 is a block diagram of a system according to an illustrative embodiment of the present disclosure;



FIG. 3 is a block diagram of a system according to an illustrative embodiment of the present disclosure;



FIG. 4 is a block diagram of a system according to an illustrative embodiment of the present disclosure;



FIG. 5 is a diagram of a mapping system according to an illustrative embodiment of the present disclosure;



FIG. 6 is a block diagram of a system according to an illustrative embodiment of the present disclosure; and



FIG. 7 is a flow chart according to an illustrative embodiment of the present disclosure.





DETAILED DESCRIPTION

For the purposes of promoting an understanding of the principles in accordance with the disclosure, reference will now be made to the embodiments illustrated in the drawings, and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the disclosure is thereby intended. Any alterations and further modifications of the inventive features illustrated herein, and any additional applications of the principles of the disclosure as illustrated herein, which would normally occur to one skilled in the relevant art and having possession of this disclosure, are to be considered within the scope of the disclosure claimed.


In describing and claiming the present disclosure, the following terminology will be used in accordance with the definitions set out below. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” include plural referents unless the context clearly dictates otherwise. As used in this specification and the appended claims, the terms “comprising,” “including,” “containing,” “having,” “characterized by,” and grammatical equivalents thereof are inclusive or open-ended terms that do not exclude additional, unrecited elements or method steps.


Referring now to FIG. 1, there is depicted a system 20 suitable for conducting e-commerce over a network, such as the Internet. According to examples of embodiments of the present invention, the system 20 can be positioned to provide products for sale on an online retailer/wholesaler website, sometimes referred to as an e-commerce website. The system 20 can include an online retailer or wholesale services in the form of an e-commerce server 21. One or more user computers 27 are positioned remotely from and in communication with the e-commerce server 21 through an electronic communication network 30, such as the Internet or other internetwork.


The system 20 can also include an e-commerce computer program 24 stored on a tangible computer medium, such as, for example, one or more various types of memory, such as, for example, memory 23 of the server 21. The program 24 may contain instructions, that when executed by the processor 22, cause the processor 22 to provide an e-commerce website to users on the remote computers 27. The system 20 can also include a plurality of database servers (not shown) that warehouse data regarding e-commerce conducted through the system 20.


As understood by those skilled in the art, the memory 23 of the server 21 can include volatile and nonvolatile memory known to those skilled in the art including, for example, RAM, ROM, and magnetic or optical disks, just to name a few. It should also be understood by those skilled in the art that although illustrated as a single server, the illustrated configuration of the server 21 is given by way of example and that other types of servers or computers configured according to various other methodologies known to those skilled in the art can be used.


The server 21 shown schematically in, for example, FIG. 1 may represent an e-commerce enterprise comprising a server or server cluster or server farm and is not limited to any individual physical server. The server site may be deployed as a server farm or server cluster managed by a server-hosting provider. The number of servers and their architecture and configuration may be increased based on usage, demand, and capacity requirements for the system 20. Similarly, database servers (not shown) may connected to the server 21, each database server representing a server or server cluster or server farm and are not limited to any individual physical server or configuration. As also understood by those skilled in the art, user computers 27 in these embodiments can be a laptop, desktop, personal digital assistants or PDAs, cell phones, servers, computers, or other types of computers. As known and understood by those skilled in the art, the network 30 can include the Internet or world wide web of a plurality of computers/servers in communication with one or more other computers through a communication network, and/or portions of a local or other area network.


As further understood by those skilled in the art, the program 24 can be in the form of microcode, programs, routines, and symbolic languages that provide a specific set for sets of ordered operations that control the functioning of the hardware and direct its operation, as known and understood by those skilled in the art. The program 24, according to an embodiment of the present invention, also need not reside in its entirety in volatile memory, but can be selectively loaded, as necessary, according to various methodologies as known and understood by those skilled in the art. As further understood by those skilled in the art, the term “computer-readable medium” encompasses distribution media, intermediate storage media, execution memory of a computer, and any other medium or device capable of storing the program 24 implementing the functionality or processes of various embodiments of the present invention for later reading by a computer. The program 24 can be copied from the computer-readable medium to a hard disk or a similar intermediate storage medium.


When the program 24, or portions thereof, is to be run, it can be loaded either from its distribution medium or its intermediate storage medium into the execution memory of the computer, configuring the computer to act in accordance with the functionality or method of various embodiments this invention. All such operations are well known to those skilled in the art of computer systems.


According to an exemplary embodiment of the present invention, the program 24 can include a set of instructions that when executed by the processor 22, causes the server 21, to perform the operations of: providing an e-commerce website, including product information regarding products for sale. The product information may be displayed to users on the remote computers 27 on webpages, as viewed, for example, on a display 26 of one or more remote user computers 27, through the communication network 30, e.g., Internet.


To assist users in finding products listed for sale by the e-commerce server 21, product listings on the e-commerce server 21 may be organized pursuant to a unique schema, which includes product attributes and taxonomy information. The product attributes may be utilized to respond to search results conducted by users. Product attributes may be utilized to categorize products in the unique taxonomy. Alternatively, the products may be manually categorized in the taxonomy. Further, products may be categorized in search results based on their product attributes.


It will be appreciated by those having ordinary skill that the product attributes may include any information associated with the products, including, without limitation, general product descriptions, product type, brand, style, fashion, specific product descriptions, variants, condition, pricing and availability, unique product identifiers, gender, age group, color, size, material, pattern, title, etc.


Referring now to FIG. 2, a product seller 50 may desire to provide product listings on multiple e-commerce websites, shown as e-commerce websites 1 through N. Each e-commerce website may have its own schema for organizing product information, shown as schemas 1 through N. Each schema may have its own taxonomy structure and product attribute fields. That is, the taxonomies and product attributes across the e-commerce websites, 1 through N, may be unique. For example, a product categorization in the taxonomy of schema 1 may not be present in the taxonomy of schema 2. Likewise, product attributes dictated by schema 1 may not be present in the product attributes of schema 2. This is true because each schema may be unique to its own website as determined by the website operators.


Referring now to FIG. 3, there is depicted a mapping server 100 for automatically mapping taxonomy and product attributes between different schemas used by e-commerce websites. In particular, the product seller 50 may define product listings according to a source schema of an e-commerce website A. That is, the e-commerce website A requires that the product seller 50 provide taxonomy and product attribute information unique to the source schema. In an illustrative embodiment, the taxonomy and product attribute information for the products is entered manually through a computer in accordance with schema 1. In an illustrative embodiment, the taxonomy and product attribute information entered is for at least one product listing. In an illustrative embodiment, the taxonomy and product attribute information are for at least one hundred product listings. The taxonomy and product attribute information for the products entered pursuant to source schema is stored in a product database on an electronic storage medium.


At a future time, the product seller 50 may also desire to provide product listings on the e-commerce website B. In lieu of having the product seller 50 manually re-enter the product information according to a target schema, the mapping server 100 automatically maps the product information provided under the source schema to the target schema in the manner that will be described below. The taxonomy and product attribute information for the products entered pursuant to the target schema is stored in a product database on an electronic storage medium.


The mapping server 100 includes a processor 102 and a memory 104. The server 100 further includes a mapping program 106 stored on a tangible computer medium, such as, for example, one or more various types of memory, such as, for example, memory 104. The program 106 contains instructions, that when executed by the processor 102, causes the processor 102 to automatically map product taxonomy and attribute information from the source schema to the target schema. The server 100 can also include a plurality of database servers (not shown) that warehouse data regarding e-commerce conducted through the server 100. The server 100 may include a database of master attributes for the product listings as will be described in more detail herein after.


As understood by those skilled in the art, the memory 104 of the server 100 can include volatile and nonvolatile memory known to those skilled in the art including, for example, RAM, ROM, and magnetic or optical disks, just to name a few. It should also be understood by those skilled in the art that although illustrated as a single server, the illustrated configuration of the server 100 is given by way of example and that other types of servers or computers configured according to various other methodologies known to those skilled in the art can be used.


The server 100 shown schematically in, for example, FIG. 3 may represent a server or server cluster or server farm and is not limited to any individual physical server.


The server site may be deployed as a server farm or server cluster managed by a server-hosting provider. The number of servers and their architecture and configuration may be increased based on usage, demand and capacity requirements for the system.


Similarly, database servers (not shown) may connected to the server 100, each database server representing a server or server cluster or server farm and are not limited to any individual physical server or configuration.


As further understood by those skilled in the art, the program 106 can be in the form of microcode, programs, routines, and symbolic languages that provide a specific set or sets of ordered operations that control the functioning of the hardware and direct its operation, as known and understood by those skilled in the art. The program 106, according to an embodiment of the present invention, also need not reside in its entirety in volatile memory, but can be selectively loaded, as necessary, according to various methodologies as known and understood by those skilled in the art. As further understood by those skilled in the art, the term “computer-readable medium” encompasses distribution media, intermediate storage media, execution memory of a computer, and any other medium or device capable of storing the program 106 implementing the functionality or processes of various embodiments of the present invention for later reading by a computer. The program 106 can be copied from the computer-readable medium to a hard disk or a similar intermediate storage medium.


When the program 106, or portions thereof, is to be run, it can be loaded either from its distribution medium or its intermediate storage medium into the execution memory of the server 100, configuring the server 100 to act in accordance with the functionality or method of various embodiments of this invention. All such operations are well known to those skilled in the art of computer systems.


According to an exemplary embodiment of the present invention, the program 106 can include a set of instructions that when executed by the processor 102, causes the server 100, to perform the operations of mapping the product taxonomy and attribute information organized pursuant to a source schema to the organization of a target schema. It will be appreciated that the program 106 eliminates the need for the product seller 50 to manually enter the information pursuant to the target schema. It will be further appreciated that a product's categorization pursuant to a given taxonomy may be considered a product attribute for purposes of this disclosure. It will be further appreciated, that the information exchanged between the mapping server 100 and the e-commerce websites A and B may be transmitted over a network, such as the Internet.


Referring now to FIGS. 3 and 4, there are depicted flow diagrams of a general overview of the algorithm of the mapping program 106 for mapping between different schemas. As shown, the program 106 causes the processor 102 to first reverse map at least one of the product attributes and taxonomy information defined in the source schema to populate a master attribute table. The master attribute table may be stored in a database.


The reverse map may be unique to the source schema. The reverse map may be stored in a database. Using the master attribute table, the program 106 then causes the processor 102 to map the entries in the master attribute table to the target schema. The mapping from the master attribute table to target schema may be unique. It will be appreciated that once created, that the master attributes may be utilized to map to multiple schemas. But, it will be appreciated that each mapping to a target schema is unique.


Referring now to FIG. 5, there are shown multiple examples, Examples A-G, of mappings from a source schema to a target schema by the server 100 using a reverse mapping and an assignment mapping. Each of these examples will be explained below.


Example A

This example demonstrates that a single product attribute in the source schema may be reverse mapped to multiple master attributes in the master attribute table. This example further demonstrates that multiple master attributes may be mapped to a taxonomy categorization in the target schema. This example further demonstrates that a single master attribute may be mapped to a product attribute in the target schema.


Example B

This example demonstrates that multiple product attributes in the source schema may be reversed mapped to determine a single master attribute. This example further demonstrates that a single master attribute may be mapped to determine multiple product attributes and a taxonomy categorization in the target schema.


Example C

This example demonstrates that a taxonomy categorization in the source schema may be reverse mapped to a master attribute. This example further demonstrates that a master attribute may be mapped to a product attribute in the target schema.


Example D

This example demonstrates that multiple master attributes may be mapped to a single taxonomy categorization in the target schema.


Example E

This example demonstrates that a product attribute in the source schema may be reverse mapped to a master attribute that is then mapped to multiple product attributes in the target schema as well as a taxonomy categorization.


Example F

This specific example demonstrates that a product attribute in the source schema may be reversed mapped to a master attribute in the master attributes table, and a different product attribute in the target schema.


Example G

This example demonstrates a specific example of how a taxonomy categorization in the source schema is mapped to a taxonomy categorization in the target schema. In this example, the target schema may not have a category for wedding rings in its taxonomy, but may have a taxonomy categorization for female gifts.


From the above examples, it will be appreciated that there is not necessarily a one-to-one correspondence between the source schema, master attributes, and the target schema. As used herein, the term “schema” may refer to the underlying organizational structure of the taxonomy and product attributes for organization of product information on an e-commerce website. It will be appreciated that the taxonomy categorization and the product attributes in the source and target schemas may be stored as name/value pairs in a database. It will be further appreciated that the master attributes may be stored as name/value pairs in a database.


Referring now to FIG. 6, in an illustrative embodiment, the product seller 50 may directly enter product attributes into the master attribute table 52 such that no reverse mapping is required. The master attributes in the master attribute table may then be mapped to the schemas of different e-commerce websites, e-commerce websites 1-N, using unique assignment mappings 1-N.


Referring now to FIG. 7, there is depicted a flow diagram of a computer-implemented process 200 for mapping at least one of product attributes and taxonomy information from a source schema to a target schema according to an illustrative embodiment of the present disclosure. The process 200 may be performed by the processor 102 of the mapping server 100 shown in FIG. 3. That is, the process 200 may be embodied in the mapping program 106 that is executed by the processor 102. At step 202, a master table is defined as an organizational structure in a computer database. The master table may include a column of master attributes and master taxonomies. Associated with each of the master attributes and master taxonomies are fields for data entry. At step 204, a computer-assisted reverse mapping from a source schema to the master table is defined. At step 206, a first assignment mapping from the master table to a first target schema and a second assignment mapping to a second target schema are defined. At step 208, at least one of product attributes and taxonomy information defined in the source schema is reverse mapped using the reverse mapping to populate fields in the master table. At step 210, the product information in the fields of the master table is mapped to the first target schema using the first assignment mapping and, optionally, the product information in the fields of the master table is mapped to the second target schema using the second assignment mapping. It will be appreciated that additional assignment mappings may be defined to map the information in the master table to additional target schemas.


In an illustrative embodiment, the present disclosure provides an e-commerce system comprising: a processor; a memory coupled to the processor; wherein the computer-readable instructions stored in the memory, when executed by the processor, cause the processor to perform the operations of (i) apply a pre-defined reverse mapping to product attributes defined in the source schema to populate a master attribute table with master attributes, and (ii) apply a first pre-defined assignment mapping to the master attributes in the master attribute table to define product attributes in a first target schema. The present disclosure may further provide an e-commerce system described above, wherein the computer-readable instructions are further operable, when executed by the processor, to cause the processor to perform the operations of applying a second pre-defined assignment mapping to the master attributes in the master attribute table to define product attributes in a second target schema. The present disclosure may further provide an e-commerce system described above, wherein the computer-readable instructions are further operable, when executed by the processor, to cause the processor to perform the operations of applying a third pre-defined assignment mapping to the master attributes in the master attribute table to define product attributes in a third target schema. The present disclosure may further provide an e-commerce system described above, wherein the computer-readable instructions are further operable, when executed by the processor, to cause the processor to perform the operations of applying the pre-defined reverse mapping to product taxonomy information defined in the source schema to populate the master attribute table with master product taxonomy information. The present disclosure may further provide an e-commerce system described above, wherein the computer-readable instructions are further operable, when executed by the processor, to cause the processor to perform the operations of applying the first pre-defined assignment mapping to the product taxonomy information in the master attribute table to define product taxonomy information in the first target schema. The present disclosure may further provide an e-commerce system described above, wherein the computer-readable instructions are further operable, when executed by the processor, to cause the processor to perform the operations of populating a product hierarchy of an e-commerce website with the product attributes defined in the first target schema. The present disclosure may further provide an e-commerce system described above, wherein the product attributes define a product listing for at least one product offered for sale online. The present disclosure may further provide an e-commerce system described above, wherein the product attributes define a product listing for at least one hundred products offered for sale online.


In an illustrative embodiment, the present disclosure provides a method of mapping schema data between a source schema and a target schema, said method comprising: defining, using a mapping server, a reverse mapping for mapping at least one of product attributes and taxonomy information defined in the source schema to entries of a master table; and defining, using the mapping server, a first assignment mapping for mapping entries in the master table to the first target schema. The present disclosure may further provide the method described above, further comprising applying, using the mapping server, the reverse mapping to at least one of product attributes and taxonomy information defined in the source schema to populate entries of the master table. The present disclosure may further provide the method described above, further comprising applying, using the mapping server, the first assignment mapping to the entries of the master attribute table to map the entries to the first target schema. The present disclosure may further provide the method described above, further comprising defining, using the mapping server, a second assignment mapping for mapping entries in the master table to a second target schema. The present disclosure may further provide the method described above, further comprising applying, using the mapping server, the second assignment mapping to the entries of the master table to map the entries to the second target schema. The present disclosure may further provide the method described above, further comprising defining, using the mapping server, a third assignment mapping for mapping entries in the master table to a third target schema. The present disclosure may further provide the method described above, further comprising applying, using the mapping server, the third assignment mapping to the entries of the master table to map the entries to the third target schema. The present disclosure may further provide the method described above, further comprising mapping taxonomy information in the source schema to entries in the master table. The present disclosure may further provide the method described above, further comprising mapping entries in the master table to taxonomy fields in the first target schema. The present disclosure may further provide the method described above, further comprising mapping entries in the master table to product attribute fields in the first target schema. The present disclosure may further provide the method described above, wherein the at least one of the product attributes and taxonomy information define a product listing for at least one product offered for sale online.


In an illustrative embodiment, the present disclosure may further provide a computer-implemented method of mapping product attributes from a source schema to a target schema, said method comprising: defining a master attribute table using a mapping server; defining a reverse mapping from the source schema to a master attribute list using the mapping server; defining an assignment mapping from the master attribute list to the target schema using the mapping server; processing, with the mapping server, product attributes in the source schema to populate master attributes in the master attribute table using the reverse mapping; and processing, with the mapping server, the master attributes in the master attribute table to define product attributes in the target schema.


In the foregoing Detailed Description, various features of the present disclosure are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed disclosure requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the following claims are hereby incorporated into this Detailed Description of the Disclosure by this reference, with each claim standing on its own as a separate embodiment of the present disclosure.


It is to be understood that the above-described arrangements are only illustrative of the application of the principles of the present disclosure. Numerous modifications and alternative arrangements may be devised by those skilled in the art without departing from the spirit and scope of the present disclosure and the appended claims are intended to cover such modifications and arrangements. Thus, while the present disclosure has been shown in the drawings and described above with particularity and detail, it will be apparent to those of ordinary skill in the art that numerous modifications, including, but not limited to, variations in size, materials, shape, form, function and manner of operation, assembly and use may be made without departing from the principles and concepts set forth herein.

Claims
  • 1. An e-commerce system comprising: a processor;a memory coupled to the processor;computer-readable instructions stored in the memory that, when executed by the processor, cause the processor to perform the operations of (i) applying a pre-defined reverse mapping to product source attributes defined in a source schema to populate a master attribute table with master attributes, (ii) applying a first pre-defined assignment mapping to the master attributes in the master attribute table to define product target attributes in a first target schema, and (iii) applying a second pre-defined assignment mapping to the master attributes in the master attribute table to define product target attributes in a second target schema;wherein the product source attributes defined in the source schema are provided to the processor by a first e-commerce website, wherein the product source attributes on the first e-commerce website are organized according to the source schema;wherein the first pre-defined assignment mapping is applied to multiple products to create listings in the first target schemawherein the product target attributes in the first target schema are configured to be displayed on a second, e-commerce website, unrelated to the first e-commerce website, wherein the product target attributes on the second e-commerce web site are organized according to the first target schema;wherein the product attributes in the second target schema are configured to be displayed on a third e-commerce website, unrelated to the first or second e-commerce websites, wherein the product target attributes on the third e-commerce web site are organized according to the second target schema;wherein the second pre-defined assignment mapping is applied to multiple products to create listings in the second target schemawherein the second target schema is unrelated to the first target schema and is created by a different e-commerce web site;wherein each master attribute in the master attribute table has one or more product source attributes from the source schema mapped to it, each master attribute in the master attribute table is mapped to one or more product target attributes in the first target schema, and each master attribute in the master attribute table is additionally mapped to one or more product target attributes in the second target schema.
  • 2. The system of claim 1, wherein the computer-readable instructions are further operable, when executed by the processor, to cause the processor to perform the operations of applying one or more additional pre-defined assignment mappings to the master attributes in the master attribute table to define product attributes in one or more additional target schema.
  • 3. The system of claim 2 wherein the product attributes in the one or more additional target schema are configured to be displayed on one or more additional e-commerce websites, unrelated to the first or second e-commerce websites; wherein the one or more additional target schema are unrelated to the first or second target schema and are created by one or more different e-commerce websites; andwherein the master attributes in the master attribute table are additionally mapped to one or more product attributes in the one or more additional target schema.
  • 4. The system of claim 1, wherein the computer-readable instructions are further operable, when executed by the processor, to cause the processor to perform the operations of applying the pre-defined reverse mapping to product taxonomy information defined in the source schema to populate the master attribute table with master product taxonomy information.
  • 5. The system of claim 4, wherein the computer-readable instructions are further operable, when executed by the processor, to cause the processor to perform the operations of applying the first pre-defined assignment mapping to the product taxonomy information in the master attribute table to define product taxonomy information in the first target schema.
  • 6. The system of claim 1, wherein the computer-readable instructions are further operable, when executed by the processor, to cause the processor to perform the operations of populating a product hierarchy of an e-commerce website with the product target attributes defined in the first target schema.
  • 7. The system of claim 1, wherein the product target attributes in the first target schema define a product listing for at least one product offered for sale online on the second c-commerce website.
  • 8. The system of claim 1, wherein the product target attributes in the first target schema define a product listing for at least one hundred products offered for sale online on the second e-commerce website.
  • 9. A method of mapping schema data between a source schema and a target schema, said method comprising: defining, by executing a mapping program on a mapping server, a reverse mapping for mapping at least one of product attributes and taxonomy information defined in the source schema to entries of a master table;defining, by executing the mapping program on the mapping server, a first assignment mapping for mapping entries in the master table to a first target schema;defining, by executing the mapping program on the mapping server, a second assignment mapping for mapping entries in the master table to a second target schema;wherein the at least one of product attributes and taxonomy information are provided to the mapping server by a first e-commerce website, wherein the at least one of product attributes and taxonomy information on the first e-commerce website is organized according to the source schema;wherein the first assignment mapping is configured to be displayed on a second, e-commerce website, unrelated to the first e-commerce website, wherein the at least one of product attributes and taxonomy information on the second e-commerce website is organized according to the first target schema;wherein the second assignment mapping is configured to be displayed on a third e-commerce website, unrelated to the first or second e-commerce websites, wherein the at least one of product attributes and taxonomy information on the third e-commerce website is organized according to the second target schema;wherein the first assignment mapping is applied to multiple products to create listings on the second e-commerce website and the second assignment mapping is applied to the multiple products to create listings on the third e-commerce website; andwherein each entry in the master table has one or more product attributes from the source schema mapped to it, and each entry in the master table is mapped to one or more product attributes in the first and second target schema.
  • 10. The method of claim 9, further comprising applying, by executing the mapping program, the reverse mapping to the at least one of product attributes and taxonomy information defined in the source schema to populate the entries of the master table.
  • 11. The method of claim 10, further comprising applying, using the mapping server, the first assignment mapping to the entries of the master attribute table to map the entries to the first target schema.
  • 12. The method of claim 11, further comprising mapping the taxonomy information in the source schema to the entries in the master table.
  • 13. The method of claim 11, further comprising mapping the entries in the master table to taxonomy fields in the first target schema.
  • 14. The method of claim 11, further comprising mapping the entries in the master table to product attribute fields in the first target schema.
  • 15. The method of claim 11, wherein the at least one of the product attributes and taxonomy information define a product listing for at least one product offered for sale online.
  • 16. The method of claim 9, further comprising applying, using the mapping server, the second assignment mapping to the entries of the master table to map the entries to the second target schema.
  • 17. The method of claim 16, further comprising defining, using the mapping server, one or more additional assignment mappings for mapping the entries in the master table to a third or additional target schema.
  • 18. The method of claim 17, further comprising applying, using the mapping server, the one or more additional assignment mappings to the entries of the master table to map the entries to the third or additional target schema.
  • 19. A computer-implemented method of mapping product attributes from a source schema to a target schema, said method comprising: defining a master attribute table using a mapping server;defining a reverse mapping from the source schema to a master attribute list using the mapping server;defining a first assignment mapping from the master attribute list to a first target schema using the mapping server;defining a second assignment mapping from the master attribute list to a second target schema;processing, by executing the mapping program on the mapping server, product attributes in the source schema to populate master attributes in the master attribute table using the reverse mapping; andprocessing, by executing the mapping program on the mapping server using the first assignment mapping, the master attributes in the master attribute table to define product attributes in the first target schema;processing, by executing the mapping program on the mapping server using the second assignment mapping, the master attributes in the master attribute table to define product attributes in the second target schema;wherein the product attributes in the source schema are provided to the master server by a first e-commerce website, wherein the product attributes on the first e-commerce website are organized according to the source schema;wherein the product attributes in the first target schema are configured to be displayed on a second, e-commerce website, unrelated to the first e-commerce website, wherein the product attributes on the second e-commerce website are organized according to the first target schema;wherein the product attributes in the second target schema are configured to be displayed on a third e-commerce website, unrelated to the first and second e-commerce website, wherein the product attributes on the third e-commerce website are organized according to the second target schema;wherein each of the master attributes has one or more product attributes from the source schema mapped to it, each of the master attributes are mapped to one or more product attributes in the first target schema, and each of the master attributes are additionally mapped to one or more product attributes in the second target schema.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 14/861,806, filed on Sep. 22, 2015, now U.S. Pat. No. 10,810,654, issued Oct. 20, 2020, which is a continuation-in-part of U.S. patent application Ser. No. 14/271,113 filed on May 6, 2014, which claims the benefit of U.S. Provisional Application No. 61/820,064, filed May 6, 2013, both of which are hereby incorporated by reference herein in their entireties, including but not limited to those portions that specifically appear hereinafter, the incorporation by reference being made with the following exception: In the event that any portion of the above-referenced applications is inconsistent with this application, this application supercedes the above-referenced applications.

US Referenced Citations (642)
Number Name Date Kind
3573747 Adams et al. Apr 1971 A
3581072 Nymeyer May 1971 A
4412287 Braddock, III Oct 1983 A
4674044 Kalmus et al. Jun 1987 A
4677552 Sibley, Jr. Jun 1987 A
4789928 Fujisaki Dec 1988 A
4799156 Shavit et al. Jan 1989 A
4808987 Takeda et al. Feb 1989 A
4823265 Nelson Apr 1989 A
4854516 Yamada Aug 1989 A
4903201 Wagner Feb 1990 A
RE33316 Katsuta et al. Aug 1990 E
5027110 Chang et al. Jun 1991 A
5053956 Donald et al. Oct 1991 A
5063507 Lindsey et al. Nov 1991 A
5077665 Silverman et al. Dec 1991 A
5101353 Lupien et al. Mar 1992 A
5136501 Silverman et al. Aug 1992 A
5168446 Wiseman Dec 1992 A
5205200 Wright Apr 1993 A
5243515 Lee Sep 1993 A
5258908 Hartheimer et al. Nov 1993 A
5280422 Moe et al. Jan 1994 A
5297031 Gutterman et al. Mar 1994 A
5297032 Trojan et al. Mar 1994 A
5301350 Rogan et al. Apr 1994 A
5305200 Hartheimer et al. Apr 1994 A
5325297 Bird et al. Jun 1994 A
5329589 Fraser et al. Jul 1994 A
5347632 Filepp et al. Sep 1994 A
5375055 Togher et al. Dec 1994 A
5377354 Scannell et al. Dec 1994 A
5394324 Clearwater Feb 1995 A
5407433 Loomas Apr 1995 A
5411483 Loomas et al. May 1995 A
5426281 Abecassis Jun 1995 A
5485510 Colbert Jan 1996 A
5493677 Balogh et al. Feb 1996 A
5553145 Micali Sep 1996 A
5557728 Garrett et al. Sep 1996 A
5579471 Barber et al. Nov 1996 A
5596994 Bro Jan 1997 A
5598557 Doner et al. Jan 1997 A
5621790 Grossman et al. Apr 1997 A
5640569 Miller et al. Jun 1997 A
5657389 Houvener Aug 1997 A
5664111 Nahan et al. Sep 1997 A
5664115 Fraser Sep 1997 A
5689652 Lupien et al. Nov 1997 A
5694546 Reisman Dec 1997 A
5706457 Dwyer et al. Jan 1998 A
5710889 Clark et al. Jan 1998 A
5715314 Payne et al. Feb 1998 A
5715402 Popolo Feb 1998 A
5717989 Tozzoli et al. Feb 1998 A
5721908 Lagarde et al. Feb 1998 A
5722418 Bro Mar 1998 A
5727165 Ordish et al. Mar 1998 A
5737599 Rowe et al. Apr 1998 A
5760917 Sheridan Jun 1998 A
5761496 Hattori Jun 1998 A
5761655 Hoffman Jun 1998 A
5761662 Dasan Jun 1998 A
5771291 Newton et al. Jun 1998 A
5771380 Tanaka et al. Jun 1998 A
5778367 Wesinger, Jr. et al. Jul 1998 A
5790790 Smith et al. Aug 1998 A
5794216 Brown Aug 1998 A
5794219 Brown Aug 1998 A
5796395 de Hond Aug 1998 A
5799285 Klingman Aug 1998 A
5803500 Mossberg Sep 1998 A
5818914 Fujisaki Oct 1998 A
5826244 Huberman Oct 1998 A
5835896 Fisher et al. Nov 1998 A
5845265 Woolston Dec 1998 A
5845266 Lupien et al. Dec 1998 A
5850442 Muftic Dec 1998 A
5870754 Dimitrova et al. Feb 1999 A
5872848 Romney et al. Feb 1999 A
5873069 Reuhl et al. Feb 1999 A
5873080 Coden et al. Feb 1999 A
5884056 Steele Mar 1999 A
5890138 Godin et al. Mar 1999 A
5890175 Wong et al. Mar 1999 A
5905975 Ausubel May 1999 A
5907547 Foldare et al. May 1999 A
5913215 Rubinstein et al. Jun 1999 A
5922074 Richard et al. Jul 1999 A
5924072 Havens Jul 1999 A
5926794 Fethe Jul 1999 A
5948040 DeLorme et al. Sep 1999 A
5948061 Merriman et al. Sep 1999 A
5956640 Eaton et al. Sep 1999 A
5970490 Morgenstern Oct 1999 A
5974396 Anderson et al. Oct 1999 A
5974412 Hazlehurst et al. Oct 1999 A
5986662 Argiro et al. Nov 1999 A
5987446 Corey et al. Nov 1999 A
5991739 Cupps et al. Nov 1999 A
5999915 Nahan et al. Dec 1999 A
6012053 Pant et al. Jan 2000 A
6029141 Bezos et al. Feb 2000 A
6035288 Solomon Mar 2000 A
6035402 Vaeth et al. Mar 2000 A
6044363 Mori et al. Mar 2000 A
6045447 Yoshizawa et al. Apr 2000 A
6047264 Fisher et al. Apr 2000 A
6049797 Guha et al. Apr 2000 A
6055518 Franklin et al. Apr 2000 A
6058379 Odom et al. May 2000 A
6058417 Hess et al. May 2000 A
6058428 Wang et al. May 2000 A
6061448 Smith et al. May 2000 A
6065041 Lum et al. May 2000 A
6070125 Murphy et al. May 2000 A
6073117 Oyanagi et al. Jun 2000 A
6078914 Redfern Jun 2000 A
6085176 Woolston Jul 2000 A
6104815 Alcorn et al. Aug 2000 A
6119137 Smith et al. Sep 2000 A
6128649 Smith et al. Oct 2000 A
6141010 Hoyle Oct 2000 A
6167382 Sparks et al. Dec 2000 A
6178408 Copple et al. Jan 2001 B1
6185558 Bowman et al. Feb 2001 B1
6192407 Smith et al. Feb 2001 B1
6199077 Inala et al. Mar 2001 B1
6202051 Woolston Mar 2001 B1
6202061 Khosla et al. Mar 2001 B1
6226412 Schwab May 2001 B1
6243691 Fisher et al. Jun 2001 B1
6269238 Iggulden Jul 2001 B1
6271840 Finseth et al. Aug 2001 B1
6275820 Navin-Chandra et al. Aug 2001 B1
6275829 Angiulo et al. Aug 2001 B1
6356879 Aggarwal et al. Mar 2002 B2
6356905 Gershman et al. Mar 2002 B1
6356908 Brown et al. Mar 2002 B1
6366899 Kernz Apr 2002 B1
6370527 Singhal Apr 2002 B1
6373933 Sarkki et al. Apr 2002 B1
6374260 Hoffert et al. Apr 2002 B1
6381510 Amidhozour et al. Apr 2002 B1
6415270 Rackson et al. Jul 2002 B1
6415320 Hess et al. Jul 2002 B1
6434556 Levin et al. Aug 2002 B1
6452609 Katinsky et al. Sep 2002 B1
6456307 Bates et al. Sep 2002 B1
6460020 Pool et al. Oct 2002 B1
6466917 Goyal et al. Oct 2002 B1
6484149 Jammes et al. Nov 2002 B1
6489968 Ortega et al. Dec 2002 B1
6522955 Colborn Feb 2003 B1
6523037 Monahan et al. Feb 2003 B1
6601061 Holt et al. Jul 2003 B1
6604107 Wang Aug 2003 B1
6625764 Dawson Sep 2003 B1
6643696 Davis et al. Nov 2003 B2
6661431 Stuart et al. Dec 2003 B1
6665838 Brown et al. Dec 2003 B1
6675178 Chinchar et al. Jan 2004 B1
6694436 Audebert Feb 2004 B1
6701310 Sugiura et al. Mar 2004 B1
6718536 Dupaquis Apr 2004 B2
6725268 Jacket et al. Apr 2004 B1
6728704 Mao et al. Apr 2004 B2
6732161 Hess et al. May 2004 B1
6732162 Wood et al. May 2004 B1
6785689 Daniel Aug 2004 B1
6801909 Delgado et al. Oct 2004 B2
6856963 Hurwitz Feb 2005 B1
6889054 Himmel et al. May 2005 B2
6907401 Vittal et al. Jun 2005 B1
6912505 Linden et al. Jun 2005 B2
6925307 Mamdani et al. Aug 2005 B1
6978273 Bonneau et al. Dec 2005 B1
7043450 Velez et al. May 2006 B2
7069242 Sheth et al. Jun 2006 B1
7076453 Jammes et al. Jul 2006 B2
7076504 Handel et al. Jul 2006 B1
7080030 Eglen et al. Jul 2006 B2
7099891 Harris et al. Aug 2006 B2
7100111 McElfresh et al. Aug 2006 B2
7100195 Underwood Aug 2006 B1
7117207 Kerschberg et al. Oct 2006 B1
7127416 Tenorio Oct 2006 B1
7165091 Lunenfeld Jan 2007 B2
7167910 Farnham et al. Jan 2007 B2
7216115 Walters et al. May 2007 B1
7240016 Sturgis et al. Jul 2007 B1
7254547 Beck et al. Aug 2007 B1
7305614 Chen et al. Dec 2007 B2
7318037 Solari Jan 2008 B2
7324966 Scheer Jan 2008 B2
7340249 Moran et al. Mar 2008 B2
7349668 Ilan et al. Mar 2008 B2
7353188 Yim et al. Apr 2008 B2
7366755 Cuomo et al. Apr 2008 B1
7379890 Myr et al. May 2008 B2
7380217 Gvelesiani May 2008 B2
7383320 Silberstein Jun 2008 B1
7401025 Lokitz Jul 2008 B1
7447646 Agarwal et al. Nov 2008 B1
7451476 Banks et al. Nov 2008 B1
7454464 Puthenkulam et al. Nov 2008 B2
7457730 Degnan Nov 2008 B2
7493521 Li et al. Feb 2009 B1
7496525 Mitchell Feb 2009 B1
7496527 Silverstein et al. Feb 2009 B2
7496582 Farnham et al. Feb 2009 B2
7516094 Perkowski Apr 2009 B2
7539696 Greener et al. May 2009 B1
7546625 Kamangar Jun 2009 B1
7552067 Nephew et al. Jun 2009 B2
7565615 Ebert Jul 2009 B2
7606743 Orzell et al. Oct 2009 B2
7610212 Klett et al. Oct 2009 B2
7653573 Hayes, Jr. et al. Jan 2010 B2
7676484 Fagin Mar 2010 B2
7834883 Adams Nov 2010 B2
7904348 Johnson et al. Mar 2011 B2
7904349 Hart Mar 2011 B1
7912748 Rosenberg et al. Mar 2011 B1
7921031 Crysel et al. Apr 2011 B2
7933818 Kumar et al. Apr 2011 B1
7941751 Ebert May 2011 B2
7979340 MacDonald Korth et al. Jul 2011 B2
7983950 De Vita Jul 2011 B2
7983963 Byrne et al. Jul 2011 B2
7991800 Lawrence et al. Aug 2011 B2
8086643 Tenorio Dec 2011 B1
8112303 Eglen et al. Feb 2012 B2
8140989 Cohen et al. Mar 2012 B2
8166155 Rachmeler et al. Apr 2012 B1
8204799 Murray et al. Jun 2012 B1
8214264 Kasavin et al. Jul 2012 B2
8214804 Robertson Jul 2012 B2
8260852 Cselle Sep 2012 B1
8265991 Leffert Sep 2012 B1
8312056 Peng et al. Nov 2012 B1
8326662 Byrne et al. Dec 2012 B1
8359245 Ballaro Jan 2013 B1
8370269 MacDonald-Korth et al. Feb 2013 B2
8370435 Bonefas et al. Feb 2013 B1
8386493 Muni Feb 2013 B2
8392356 Stoner et al. Mar 2013 B2
8452691 MacDonald Korth et al. May 2013 B2
8473316 Panzitta et al. Jun 2013 B1
8494912 Fraser et al. Jul 2013 B2
8498906 Zmolek Jul 2013 B2
8545265 Sakamoto et al. Oct 2013 B2
8566170 Joseph et al. Oct 2013 B1
8577740 Murray et al. Nov 2013 B1
8583480 Byrne Nov 2013 B2
8584149 Crucs Nov 2013 B2
8630960 Gross Jan 2014 B2
8676632 Watson et al. Mar 2014 B1
8693494 Fiatal Apr 2014 B2
8719075 MacDonald Korth et al. May 2014 B2
8793650 Hilerio et al. Jul 2014 B2
8817033 Hur et al. Aug 2014 B2
9047341 Pan Jun 2015 B2
9047642 Byrne et al. Jun 2015 B2
9123069 Haynes et al. Sep 2015 B1
9201558 Dingman Dec 2015 B1
9418365 Groarke et al. Aug 2016 B2
9430114 Dingman Aug 2016 B1
9448692 Mierau et al. Sep 2016 B1
9483788 Martin Nov 2016 B2
9489681 Barous Nov 2016 B2
9727891 Mezzacca Aug 2017 B2
9741080 Byrne Aug 2017 B1
9747622 Johnson et al. Aug 2017 B1
9805425 MacDonald-Korth et al. Oct 2017 B2
9928752 Byrne et al. Mar 2018 B2
9940659 Behbahani et al. Apr 2018 B1
9954879 Sadaghiani et al. Apr 2018 B1
10013500 McClintock et al. Jul 2018 B1
10074118 Johnson et al. Sep 2018 B1
10102287 Martin Oct 2018 B2
10210518 Alnajem Feb 2019 B2
10217147 Shivaswamy Feb 2019 B2
10269081 Byrne Apr 2019 B1
10423997 MacDonald Korth et al. Sep 2019 B2
10534845 Noursalehi et al. Jan 2020 B2
10769219 Martin Sep 2020 B1
10810654 Robertson et al. Oct 2020 B1
10853891 MacDonald-Korth et al. Dec 2020 B2
10872350 Hu et al. Dec 2020 B1
10896451 Johnson et al. Jan 2021 B1
10929890 Knab et al. Feb 2021 B2
10949876 Johnson et al. Mar 2021 B2
10970463 Noursalehi et al. Apr 2021 B2
10970769 Iqbal Apr 2021 B2
10977654 Kumar et al. Apr 2021 B2
11023947 Bosley et al. Jun 2021 B1
11061977 Raskar Jul 2021 B1
11062316 Bizarro et al. Jul 2021 B2
11176598 D'Souza et al. Nov 2021 B2
11205179 Patel et al. Dec 2021 B1
20010002471 Ooish May 2001 A1
20010014868 Herz et al. Aug 2001 A1
20010034667 Petersen Oct 2001 A1
20010034668 Whitworth Oct 2001 A1
20010044751 Pugliese, III et al. Nov 2001 A1
20010047290 Petras et al. Nov 2001 A1
20010047308 Kaminsky et al. Nov 2001 A1
20010051996 Cooper et al. Dec 2001 A1
20020002513 Chiasson Jan 2002 A1
20020007321 Burton Jan 2002 A1
20020007356 Rice et al. Jan 2002 A1
20020013721 Dabbiere et al. Jan 2002 A1
20020019763 Linden et al. Feb 2002 A1
20020022995 Miller et al. Feb 2002 A1
20020023059 Bari et al. Feb 2002 A1
20020026390 Ulenas et al. Feb 2002 A1
20020029187 Meehan et al. Mar 2002 A1
20020038312 Donner et al. Mar 2002 A1
20020040352 McCormick Apr 2002 A1
20020042738 Srinivasan et al. Apr 2002 A1
20020049622 Lettich et al. Apr 2002 A1
20020056044 Andersson May 2002 A1
20020065774 Young et al. May 2002 A1
20020082932 Chinnappan Jun 2002 A1
20020099578 Eicher, Jr. et al. Jul 2002 A1
20020099579 Stowell et al. Jul 2002 A1
20020099602 Moskowitz et al. Jul 2002 A1
20020107718 Morrill et al. Aug 2002 A1
20020107853 Hofmann et al. Aug 2002 A1
20020111826 Potter et al. Aug 2002 A1
20020120537 Morea et al. Aug 2002 A1
20020120609 Lang et al. Aug 2002 A1
20020123957 Notarius et al. Sep 2002 A1
20020124100 Adams Sep 2002 A1
20020129282 Hopkins Sep 2002 A1
20020133502 Rosenthal et al. Sep 2002 A1
20020138399 Hayes et al. Sep 2002 A1
20020147625 Koike, Jr. Oct 2002 A1
20020156802 Takayama et al. Oct 2002 A1
20020161648 Mason et al. Oct 2002 A1
20020161664 Shaya et al. Oct 2002 A1
20020188777 Kraft et al. Dec 2002 A1
20020194049 Boyd Dec 2002 A1
20020194357 Harris Dec 2002 A1
20020198784 Shaak et al. Dec 2002 A1
20020198882 Linden et al. Dec 2002 A1
20030004855 Dutta et al. Jan 2003 A1
20030005046 Kavanagh et al. Jan 2003 A1
20030007464 Balani Jan 2003 A1
20030009362 Cifani et al. Jan 2003 A1
20030009392 Perkowski Jan 2003 A1
20030014400 Siegel Jan 2003 A1
20030028451 Ananian Feb 2003 A1
20030028605 Millett et al. Feb 2003 A1
20030032409 Hutcheson et al. Feb 2003 A1
20030035138 Schilling Feb 2003 A1
20030036914 Fitzpatrick et al. Feb 2003 A1
20030040970 Miller Feb 2003 A1
20030041008 Grey et al. Feb 2003 A1
20030046149 Wong Mar 2003 A1
20030069740 Zeidman Apr 2003 A1
20030069790 Kane Apr 2003 A1
20030069825 Hoffman et al. Apr 2003 A1
20030083961 Bezos et al. May 2003 A1
20030088467 Culver May 2003 A1
20030088511 Korboulonis et al. May 2003 A1
20030093331 Childs et al. May 2003 A1
20030097352 Gutta et al. May 2003 A1
20030105682 Dicker et al. Jun 2003 A1
20030110100 Wirth, Jr. Jun 2003 A1
20030119492 Timmins et al. Jun 2003 A1
20030131095 Kumhyr et al. Jul 2003 A1
20030139969 Scroggie et al. Jul 2003 A1
20030140007 Kramer et al. Jul 2003 A1
20030140121 Adams Jul 2003 A1
20030158792 Perkowski Aug 2003 A1
20030163340 Fitzpatrick et al. Aug 2003 A1
20030167213 Jammes et al. Sep 2003 A1
20030167222 Mehrotra et al. Sep 2003 A1
20030177103 Ivanov et al. Sep 2003 A1
20030187745 Hobday et al. Oct 2003 A1
20030200156 Roseman et al. Oct 2003 A1
20030204449 Kotas et al. Oct 2003 A1
20030217002 Enborg Nov 2003 A1
20030220835 Barnes, Jr. Nov 2003 A1
20040006509 Mannik et al. Jan 2004 A1
20040015416 Foster et al. Jan 2004 A1
20040029567 Timmins et al. Feb 2004 A1
20040041836 Zaner et al. Mar 2004 A1
20040044563 Stein Mar 2004 A1
20040055017 Delpuch et al. Mar 2004 A1
20040058710 Timmins et al. Mar 2004 A1
20040073476 Donahue et al. Apr 2004 A1
20040078388 Melman Apr 2004 A1
20040093311 Chew et al. May 2004 A1
20040107136 Nemirofsky et al. Jun 2004 A1
20040117242 Conrad et al. Jun 2004 A1
20040122083 Pettit et al. Jun 2004 A1
20040122681 Ruvolo et al. Jun 2004 A1
20040122735 Meshkin Jun 2004 A1
20040122855 Ruvolo et al. Jun 2004 A1
20040128183 Challey et al. Jul 2004 A1
20040128283 Wang et al. Jul 2004 A1
20040128320 Grove et al. Jul 2004 A1
20040143731 Audebert et al. Jul 2004 A1
20040148232 Fushimi et al. Jul 2004 A1
20040172323 Stamm Sep 2004 A1
20040172379 Mott et al. Sep 2004 A1
20040174979 Hutton et al. Sep 2004 A1
20040186766 Fellenstein et al. Sep 2004 A1
20040199496 Liu et al. Oct 2004 A1
20040199905 Fagin et al. Oct 2004 A1
20040204989 Dicker et al. Oct 2004 A1
20040204991 Monahan et al. Oct 2004 A1
20040230989 Macey et al. Nov 2004 A1
20040240642 Crandell et al. Dec 2004 A1
20040249727 Cook, Jr. et al. Dec 2004 A1
20040267717 Slackman Dec 2004 A1
20050002166 Dinnage et al. Jan 2005 A1
20050010925 Khawand et al. Jan 2005 A1
20050038733 Foster et al. Feb 2005 A1
20050044254 Smith Feb 2005 A1
20050055306 Miller et al. Mar 2005 A1
20050060664 Rogers Mar 2005 A1
20050097204 Horowitz et al. May 2005 A1
20050114229 Ackley et al. May 2005 A1
20050120311 Thrall Jun 2005 A1
20050131837 Sanctis et al. Jun 2005 A1
20050144064 Calabria et al. Jun 2005 A1
20050144074 Fredregill et al. Jun 2005 A1
20050193333 Ebert Sep 2005 A1
20050197846 Pezaris et al. Sep 2005 A1
20050197950 Moya et al. Sep 2005 A1
20050198031 Pezaris et al. Sep 2005 A1
20050202390 Allen et al. Sep 2005 A1
20050203888 Woosley et al. Sep 2005 A1
20050216300 Appelman et al. Sep 2005 A1
20050240474 Li Oct 2005 A1
20050262067 Lee et al. Nov 2005 A1
20050273378 MacDonald-Korth et al. Dec 2005 A1
20050278231 Teeter Dec 2005 A1
20060009994 Hogg et al. Jan 2006 A1
20060010105 Sarakkai et al. Jan 2006 A1
20060015498 Sarmiento et al. Jan 2006 A1
20060031240 Eyal et al. Feb 2006 A1
20060041638 Whittaker et al. Feb 2006 A1
20060048093 Jain et al. Mar 2006 A1
20060058048 Kapoor et al. Mar 2006 A1
20060069623 MacDonald Korth et al. Mar 2006 A1
20060085251 Greene Apr 2006 A1
20060173817 Chowdhury et al. Aug 2006 A1
20060206386 Walker et al. Sep 2006 A1
20060206479 Mason Sep 2006 A1
20060212358 Walker et al. Sep 2006 A1
20060218049 Walker et al. Sep 2006 A1
20060224470 Garcia Ruano et al. Oct 2006 A1
20060230035 Bailey et al. Oct 2006 A1
20060235752 Kavanagh et al. Oct 2006 A1
20060253476 Roth Nov 2006 A1
20060259360 Flinn et al. Nov 2006 A1
20060271671 Hansen Nov 2006 A1
20060282304 Bedard et al. Dec 2006 A1
20070005424 Arauz Jan 2007 A1
20070027760 Collins et al. Feb 2007 A1
20070027814 Tuoriniemi Feb 2007 A1
20070055568 Osborne Mar 2007 A1
20070073641 Perry et al. Mar 2007 A1
20070077025 Mino Apr 2007 A1
20070078726 MacDonald Korth et al. Apr 2007 A1
20070078849 Slothouber Apr 2007 A1
20070083437 Hamor Apr 2007 A1
20070094597 Rostom Apr 2007 A1
20070100803 Cava May 2007 A1
20070130090 Staib et al. Jun 2007 A1
20070160345 Sakai et al. Jul 2007 A1
20070162379 Skinner Jul 2007 A1
20070174108 Monster Jul 2007 A1
20070192168 Van Luchene Aug 2007 A1
20070192181 Asdourian Aug 2007 A1
20070206606 Coleman et al. Sep 2007 A1
20070214048 Chan et al. Sep 2007 A1
20070226679 Jayamohan et al. Sep 2007 A1
20070233565 Herzog et al. Oct 2007 A1
20070239534 Liu et al. Oct 2007 A1
20070245013 Saraswathy et al. Oct 2007 A1
20070260520 Jha et al. Nov 2007 A1
20070282666 Afeyan et al. Dec 2007 A1
20070288298 Gutierrez et al. Dec 2007 A1
20070299743 Staib et al. Dec 2007 A1
20080010678 Burdette et al. Jan 2008 A1
20080015938 Haddad et al. Jan 2008 A1
20080021763 Merchant Jan 2008 A1
20080052152 Yufik Feb 2008 A1
20080071640 Nguyen Mar 2008 A1
20080082394 Floyd et al. Apr 2008 A1
20080103893 Nagarajan et al. May 2008 A1
20080120342 Reed et al. May 2008 A1
20080126205 Evans et al. May 2008 A1
20080126476 Nicholas et al. May 2008 A1
20080133305 Yates et al. Jun 2008 A1
20080133349 Nazer et al. Jun 2008 A1
20080140765 Kelaita et al. Jun 2008 A1
20080162574 Gilbert Jul 2008 A1
20080195476 Marchese et al. Aug 2008 A1
20080201218 Broder et al. Aug 2008 A1
20080215456 West et al. Sep 2008 A1
20080281714 Kluth Nov 2008 A1
20080288338 Wiseman et al. Nov 2008 A1
20080294536 Taylor et al. Nov 2008 A1
20080300909 Rikhtverchik et al. Dec 2008 A1
20080301009 Plaster et al. Dec 2008 A1
20080305869 Konforty et al. Dec 2008 A1
20080313010 Jepson et al. Dec 2008 A1
20080320012 Loving Dec 2008 A1
20090006190 Lucash et al. Jan 2009 A1
20090006315 Mukherjea Jan 2009 A1
20090030755 Altberg et al. Jan 2009 A1
20090030775 Vier Jan 2009 A1
20090037355 Brave et al. Feb 2009 A1
20090106080 Carrier et al. Apr 2009 A1
20090106127 Purdy et al. Apr 2009 A1
20090110181 Koenig Apr 2009 A1
20090119167 Kendall et al. May 2009 A1
20090157537 Miller Jun 2009 A1
20090164323 Byrne Jun 2009 A1
20090164442 Shani et al. Jun 2009 A1
20090182589 Kendall et al. Jul 2009 A1
20090204848 Kube et al. Aug 2009 A1
20090222337 Sergiades Sep 2009 A1
20090222348 Ransom et al. Sep 2009 A1
20090222737 Liesche et al. Sep 2009 A1
20090228918 Rolff et al. Sep 2009 A1
20090234722 Evevsky Sep 2009 A1
20090240582 Sheldon-Neal et al. Sep 2009 A1
20090276284 Yost Nov 2009 A1
20090276305 Clopp Nov 2009 A1
20090292677 Kim Nov 2009 A1
20090293019 Raffel et al. Nov 2009 A1
20090313173 Singh et al. Dec 2009 A1
20100042684 Broms et al. Feb 2010 A1
20100070448 Omoigui Mar 2010 A1
20100076816 Phillips Mar 2010 A1
20100076851 Jewell, Jr. Mar 2010 A1
20100094673 Lobo et al. Apr 2010 A1
20100107123 Sareen et al. Apr 2010 A1
20100145831 Esfandiari et al. Jun 2010 A1
20100146413 Yu Jun 2010 A1
20100174754 B'Far Jul 2010 A1
20100228617 Ransom et al. Sep 2010 A1
20100274821 Bernstein Oct 2010 A1
20110010656 Mokotov Jan 2011 A1
20110055054 Glasson Mar 2011 A1
20110060621 Weller et al. Mar 2011 A1
20110103699 Ke et al. May 2011 A1
20110131253 Peukert et al. Jun 2011 A1
20110137973 Wei et al. Jun 2011 A1
20110145226 Gollapudi et al. Jun 2011 A1
20110153383 Bhattacharjya et al. Jun 2011 A1
20110153663 Koren et al. Jun 2011 A1
20110173076 Eggleston et al. Jul 2011 A1
20110191319 Nie et al. Aug 2011 A1
20110196802 Ellis et al. Aug 2011 A1
20110225050 Varghese Sep 2011 A1
20110231226 Golden Sep 2011 A1
20110231383 Smyth et al. Sep 2011 A1
20110258049 Ramer et al. Oct 2011 A1
20110271204 Jones et al. Nov 2011 A1
20110276513 Erhart et al. Nov 2011 A1
20110289068 Teevan et al. Nov 2011 A1
20120005187 Chavanne Jan 2012 A1
20120030067 Pothukuchi et al. Feb 2012 A1
20120084135 Nissan et al. Apr 2012 A1
20120158480 Sundaram Jun 2012 A1
20120158715 Maghoul et al. Jun 2012 A1
20120164619 Meer Jun 2012 A1
20120166299 Heinstein et al. Jun 2012 A1
20120203723 Huang et al. Aug 2012 A1
20120231424 Calman et al. Sep 2012 A1
20120233312 Ramakumar et al. Sep 2012 A1
20120253985 Maron et al. Oct 2012 A1
20120271702 MacLachlan et al. Oct 2012 A1
20120278388 Kleinbart et al. Nov 2012 A1
20120284336 Schmidt et al. Nov 2012 A1
20120323725 Johnston et al. Dec 2012 A1
20130031470 Daly, Jr. et al. Jan 2013 A1
20130073392 Allen et al. Mar 2013 A1
20130080200 Connolly et al. Mar 2013 A1
20130080426 Chen et al. Mar 2013 A1
20130085893 Bhardwaj et al. Apr 2013 A1
20130144870 Gupta et al. Jun 2013 A1
20130145254 Masuko et al. Jun 2013 A1
20130151331 Avner et al. Jun 2013 A1
20130151388 Falkenborg et al. Jun 2013 A1
20130173408 Lindblom Jul 2013 A1
20130185164 Pottjegort Jul 2013 A1
20130191409 Zeng et al. Jul 2013 A1
20130254059 Teo Sep 2013 A1
20130268561 Christie et al. Oct 2013 A1
20140019298 Suchet et al. Jan 2014 A1
20140019313 Hu et al. Jan 2014 A1
20140019542 Rao et al. Jan 2014 A1
20140025509 Reisz et al. Jan 2014 A1
20140032544 Mathieu et al. Jan 2014 A1
20140095273 Tang et al. Apr 2014 A1
20140114680 Mills et al. Apr 2014 A1
20140114755 Mezzacca Apr 2014 A1
20140136290 Schiestl et al. May 2014 A1
20140172652 Pobbathi et al. Jun 2014 A1
20140180758 Agarwal et al. Jun 2014 A1
20140200959 Sarb et al. Jul 2014 A1
20140259056 Grusd Sep 2014 A1
20140278880 Lemphers et al. Sep 2014 A1
20140279191 Agarwal et al. Sep 2014 A1
20140289005 Laing et al. Sep 2014 A1
20140330818 Raina et al. Nov 2014 A1
20140337090 Tavares Nov 2014 A1
20140372415 Fernandez-Ruis Dec 2014 A1
20150019958 Ying et al. Jan 2015 A1
20150032507 Narasimhan et al. Jan 2015 A1
20150088695 Lorbiecki et al. Mar 2015 A1
20150088968 Wei et al. Mar 2015 A1
20150089524 Cremonesi et al. Mar 2015 A1
20150142543 Lellouche May 2015 A1
20150286742 Zhang et al. Oct 2015 A1
20150287066 Wortley et al. Oct 2015 A1
20160071105 Groarke et al. Mar 2016 A1
20170235788 Borisyuk et al. Aug 2017 A1
20170300911 Alnajem Oct 2017 A1
20170344622 Islam et al. Nov 2017 A1
20180167412 Barrett et al. Jun 2018 A1
20190043106 Talmor et al. Feb 2019 A1
20190066111 Bizarro et al. Feb 2019 A1
20190130904 Homma et al. May 2019 A1
20190295088 Jia et al. Sep 2019 A1
20190325868 Lecue et al. Oct 2019 A1
20200005310 Kumar et al. Jan 2020 A1
20200065357 Noursalehi et al. Feb 2020 A1
20200184540 D'Souza et al. Jun 2020 A1
20200218766 Yaseen et al. Jul 2020 A1
20200250675 Hanis et al. Aug 2020 A1
20200293587 Ayers et al. Sep 2020 A1
Foreign Referenced Citations (27)
Number Date Country
2253543 Mar 1997 CA
2347812 May 2000 CA
0636993 Apr 1999 EP
0807891 May 2000 EP
1241603 Sep 2002 EP
2397400 Jul 2004 GB
2424098 Sep 2006 GB
2001283083 Dec 2001 JP
2002318935 Oct 2002 JP
2007021920 Feb 2007 JP
2009505238 Feb 2009 JP
WO1997017663 May 1997 WO
WO1998032289 Jul 1998 WO
WO1998047082 Oct 1998 WO
WO1998049641 Nov 1998 WO
WO1999059283 Nov 1999 WO
WO2000025218 May 2000 WO
WO0068851 Nov 2000 WO
WO2001009803 Feb 2001 WO
WO2001082135 Nov 2001 WO
WO2001097099 Dec 2001 WO
WO2002037234 May 2002 WO
WO2003094080 Nov 2003 WO
WO2007021920 Feb 2007 WO
WO2012093410 Jul 2012 WO
WO2015116038 Aug 2015 WO
WO2015176071 Nov 2015 WO
Non-Patent Literature Citations (122)
Entry
“Taxonomy based Data Marts,” by Asiya Abdus Salam Qureshi and Syed Muhammad Khalid Jamal, International Journal of Computer Applications (0975-8887), vol. 60, No. 13, Dec. 2012 (Year: 2012).
“Data Warehousing Leader Acta Inc. Extends Award-Winning Technology to E-Commerce,” Business Wire [New York], Sep. 14, 1999 (Year: 1999).
Teo, “Organizational Factors of Success in Using EDIS: A Survey of Tradenet Participants,” Electronic Markets—The International Journal, Oct. 1993, 2 pages, vol. 3, No. 3.
Tjostheim et al., “A case study of an on-line auction for the World Wide Web,” printed from www.nr.no/gem/elcom/puplikasjoner/enter98e.html on Jun. 10, 1990, 10 pages.
Turban, “Auctions and Bidding on the Internet: An Assessment,” Electronic Markets—The International Journal, Dec. 1997, 5 pages, vol. 7, No. 4.
ubid.com, “How do I Updated my Address, Phone, Credit Card, Password, etc.?” printed from web.archive.org/web/20010208113903/www.ubid.com/help/topic13asp on Aug. 30, 2007.
ubid.com, “How do I track my shipment?” printed from web.archive.org/web/20010331032659/www.ubid.com/help/topic27.asp on Aug. 30, 2007.
ubid.com, “Can I track all of my bids from My Page?” printed from web.archive.org/web/20010208114049/www.ubid.com/help/topic14.asp on Aug. 30, 2007.
Van Heck et al., “Experiences with Electronic Auctions in the Dutch Flower Industry,” Electronic Markets—The International Journal, Dec. 1997, 6 pages, vol. 7, No. 4.
Verizon Wireless, “Verizon Wireless Customers Get It NowSM; Get Games, Get Pix, Get Ring Tones and Get Going in Full Color,” press release to PRNEWSWIRE, Sep. 23, 2002.
Warbelow et al., “AUCNET: TV Auction Network System,” Harvard Business School 9-190-001, Jul. 19, 1989, Rev. Apr. 12, 1996, pp. 1-15.
Weber, “How Financial Markets are Going On-line,” Electronic Markets—The International Journal, Oct. 1993, 2 pages. vol. 3, No. 3.
Wireless Internet, “DailyShopper Selects 2Roam to Enable Mobile Customers to Retrieve Nearby Sales and Promotions Information,” Wireless Internet, Apr. 2001.
Wireless Week, “Verizon Wireless Gets Going on BREW Agenda,” Wireless Week, Sep. 23, 2002.
xchanger.net, webpage printed from www.auctiva.com/showcases/as_4sale.asp?uid=exchanger, undated but at least as early as Oct. 12, 2000.
Yu et al., “Distributed Reputation Management for Electronic Commerce,” Computational Intelligence, 2002, pp. 535-549, vol. 18, No. 4.
Zetmeir, Auction Incentive Marketing, print of all pages of website found at home.earthlink.net/˜bidpointz/ made Oct. 8, 2004.
Zimmermann, “Integration of Financial Services: The TeleCounter,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
Zwass, “Electronic Commerce: Structures and Issues,” International Journal of Electronic Commerce, Fall 1996, pp. 3-23, vol. 1, No. 1.
Message Passing from Wikipedia, archived May 6, 2016, retrieved from https://en.wikipedia.org/wiki/message_passing, 4 pages.
Di et al., “A New Implementation for Ontology Mapping Based enterprise Semantic Interoperation,” by Xiaofeng Di and Yushun Fan, Applied Mechanics and Materials, vols. 16-19 (2009), pp. 644-648 (Year:2009).
Nicolle et a., “XML Integration and Toolkit for B2B Applications,” by Christophe Nicolle, Kokou Yetongnon, and Jean-Claude Simon, Journal of Database Management, Oct.-Dec. 2003 (Year: 2003).
V. Aksakalli, Optimizing direct response in Internet display advertising, Elsevier, vol. 11, Issue 3, May-Jun. 2012, pp. 229-240. (Year: 2012).
Gallagher et al. A framework for targeting banner advertising on the internet. IEEE, pp. 265-274 (Year: 1997).
Alex, Neil, “Optimizing Search Results in Elasticsearch with Scoring and Boosting”, Mar. 18, 2015, Qbox.io, accessed at [https://qbox.io/blog/optimizing-search-results-in-elasticsearch0with-scoring-and-boosting] (year: 2015).
Hybrid algorithms for recommending new items. Cremonesi et al., ResearchGate, Google, (year:2011).
Lee, “AUCNET: Electronic Intermediary for Used-Car Transactions,” Electronic Market—The International Journal, Dec. 1997, pp. 24-28, vol. 7, No. 4.
T.Y. Lee, S. Li and R. Wei, “Needs-Centric Searching and Ranking Based on Customer Reviews,” 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services, Washington, DC, 2008, pp. 128-135. (Year: 2008).
Levy, Michael, and Dhruv Grewal. “Supply chain management in a networked economy.” Journal Retailing 76.4 (2000): 415-429.
LIVE365 press release, “Live365 to Offer Opt-In Advertising on Its Website,” Oct. 15, 2004.
London Business School, “Overture and Google: Internet Pay-Per-Click (PPC) Advertising Options,” Mar. 2003.
M2 Presswire, “Palm, Inc.: Palm unveils new web browser optimised for handhelds; HTML browser offers high-speed web-browsing option,” Mar. 13, 2002.
Malone et al., “Electronic Markets and Electronic Hierarchies,” Communications of the ACM, Jun. 1987, pp. 484-497, vol. 30, No. 6.
Mansell et al., “Electronic Trading Networks: The Route to Competitive Advantage?” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
Mardesich, “Onsale takes auction gavel electronic,” Computer Reseller News, Jul. 8, 1996, pp. 2, 32.
Marteau, “Shop with One Click, Anywhere, Anytime,” Information Management and Consulting, 2000, pp. 44-46, vol. 15, No. 4.
Massimb et al., “Electronic Trading, Market Structure and Liquidity,” Financial Analysts Journal, Jan.-Feb. 1994, pp. 39-49.
McGinnity, “Build Your Weapon,” PC Magazine, Apr. 24, 2011, printed from www.pcmag.com/print_article2?0,1217,a%253D3955,00.asp.
Meade, “Visual 360: a performance appraisal system that's ‘fun,’” HR Magazine, 44, 7, 118(3), Jul. 1999.
“Mediappraise: Mediappraise Receives National Award for Web-Based Technology That Enables Companies to Solve Thorny HR Problem,” Dec. 14, 1998.
Medvinsky et al., “Electronic Currency for the Internet,” Electronic Markets—The International Journal, Oct. 1993, 2 pages, vol. 3, No. 3.
metails.com, www.metails.com homepage, printed Oct. 13, 2004.
Microsoft Computer Dictionary, Fifth Edition, front matter and p. 33.
Microsoft Computer Dictionary, Fifth Edition, front matter, back matter, and pp. 479, 486.
Neches, “Fast—A Research Project in Electronic Commerce,” Electronic Markets—The International Journal, Oct. 1993, 4 pages, vol. 3., No. 3.
Neisser, “Which is better for Social Media Monitoring: TweetDeck or SproutSocial” Mar. 17, 2011, Social Media Examiner, https://www.socialmediaexaminer.com/which-is-better-for-social-media-monitoring-tweetdeck-or-sproutsocial/.
Neo, “The implementation of an electronic market for pig trading in Singapore,” Journal of Strategic Information Systems, Dec. 1992, pp. 278-288, vol. 1, No. 5.
O'Mahony, “An X.500-based Product Catalogue,” Electronic Markets—The International Journal, Oct. 1993, 2 pages, vol. 3, No. 3.
“Onsale: Onsale Brings Thrill of Auctions and Bargain Hunting Online: Unique Internet retail services debuts with week-long charity auction for The Computer Museum in Boston,” May 24, 1995, printed from www.dialogweb.com/cgi/dwclient?dwcommand,DWEBPRINT%20810-489267.
“Onsale joins fray as online shopping pcks up speed: Internet Booms,” Comptuer Reseller News, Jun. 5, 1995.
Palm, Inc., PalmTM Web Pro Handbook, copyright 2002-2003.
Post et al., “Application of Auctions as a Pricing Mechanism for the Interchange of Electric Power,” IEEE Transactions of Power Systems, Aug. 1995, pp. 1580-1584, vol. 10, No. 3.
Preist et al., “Adaptive agents in a persistent shout double auction,” International Conference on Information and Computation, Proceedings of the first international conference on information and computation economies, Oct. 25-28, 1998, Charleston, United States, pp. 11-18.
Qualcomm, “Brew Developer Support,” printed from web.archive.org/web/20020209194207/http://www.qualcomm.com/brew/developer/support/kb/52.html on Aug. 30, 2007.
RCR Wireless News, “Lockheed Martin to use 2Roam's technology for wireless platform,” RCR Wireless News, Sep. 10, 2001.
Reck, “Formally Specifying an Automated Trade Execution System,” J. Systems Software, 1993, pp. 245-252, vol. 21.
Reck, “Trading-Process Characteristics of Electronic Auctions,” Electronic Markets—The International Journal, Dec. 1997, pp. 17-23, vol. 7, No. 4.
repcheck.com, www.repcheck.com homepage, printed from web.archive.org/web/20020330183132/http://repcheck.com on Sep. 5, 2009.
Resnick et al., “Reputation Systems,” Communications of the ACM, Dec. 2000, pp. 45-48, vol. 43, No. 12.
Rockoff et al., “Design of an Internet-based system for remote Dutch auctions,” Internet Research: Electronic Networking Applications and Policy, 1995, pp. 10-16, vol. 5, No. 4.
Rodriguez, Camille, HootSuite vs. social Oomph vs. Tweekdeck, Jan. 4, 2012, http://polkadotimpressions.com/2012/01/04/hootsuite-vs-social-oopmphvs.tweetdeck/ (Year: 2012).
Rose, “Vendors strive to undo Adobe lock-hold,” Computer Reseller News, Feb. 5, 1996, n 66669, p. 71(7).
Ross, David Frederick, Frederick S. Weston, and W. Stephen. Introduction to supply chain management technologies. CRC Press, 2010.
Rysavy, “Mobile-commerce ASPs do the legwork,” Network Computing, Jan. 22, 2001, p. 71, 6 pgs., vol. 12, No. 2.
Saunders, “AdFlight to Offer WAP Ads,” Oct. 17, 2000, printed from clickz.com/487531/print.
Schaffer, Neil, The Top 20 Twitter clients—HootSuite, TweetDeck and More, Jan. 31, 2012, https://maximizesocialbusinss.com/top-20-twitter-clients-2012-9175/ (Year: 2012).
Schmid, “Electronic Markets,” Electronic Markets—The International Journal, Oct. 1993, 2 pages, vol. 3, No. 3.
Schwankert, “Matsushita Taps 2Roam for Wireless Solutions,” www.internetnews.com/bus-news.article.php/674811, Feb. 2, 2001.
Sen, “Inventory and Pricing Models for Perishable Products,” Doctor of Philosophy Dissertation—University of Southern California, Aug. 2000.
Siegmann, “Nowhere to go but up,” PC Week, Oct. 23, 1995, 3 pages, vol. 12, No. 42.
Telephony Staff, “Air-ASP,” Telephony Online, Oct. 2, 2000, 3 pages.
2Roam, Inc., multiple archived pages of www.2roam.com retrieved via Internet Archive Wayback Machine on Jun. 10, 2008.
Alt et al., “Bibliography on Electronic Commerce,” Electronic Markets—The International Journal, Oct. 1993, 5 pages, vol. 3, No. 3.
Alt et al., “Computer Integrated Logistics,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 1, No. 3.
Anonymous, Image manipulation (image-editing software and image-manipulation systems)(Seybold Special Report, Part II), Seybold Report on Publishing Systems, May 15, 1995, pS35(9), vol. 24, No. 18.
auctionwatch.com, multiple pages—including search results for “expedition,” printed Apr. 21, 2011.
auctiva.com, multiple pages, undated but website copyright date is “1999-2000.”
Ball et al., “Supply chain infrastructures: system integration and information sharing,” ACM SIGMOD Record, 2002, vol. 31, No. 1, pp. 61-66.
Berger et al., “Random Ultiple-Access Communication and Group Testing,” IEEE, 1984.
Braganza, “Is Resarch at Cranfield—A Look at the Future,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
Brecht et al., “The IM 2000 Research Programme,” Electronic Markets—The International Journal, Oct. 1993, 1 page. Vol. 3, No. 3.
Business Wire business/technology editors, “Sellers Flock to OutletZoo.com as New Automatic Price Drop Method Moves Excess Inventory Online,” Business Wire, Oct. 25, 1999.
Business Wire business editors/high-tech writers, “PictureWorks Technology, Inc. Expands in Real Estate Market with Adoption of Rimfire on Realtor.com,” Business Wire, Nov. 8, 1999.
Business Wire business editors/high-tech writers, “PictureWorks Technology, Inc. Shows Strong Revenue Growth in Internet Imaging Business,” Business Wire, Nov. 10, 1999.
Business Wire business editors/high-tech writers, “2Roam Partners with Pumatech to Delivery Wireless Alerts,” Business Wire, Dec. 18, 2000.
Business Wire business editors/high-tech writers, “2Roam Takes eHow's How-to Solutions Wireless: With 2Roam, the Web's One-Stop Source for getting Things Done is on More Wireless Devices, with Ability to Purchase Its Products from Anywhere,” Business Wire, Oct. 2, 2000.
Business Wire business editors/high-tech writers, “2Roam Drives Hertz to the Wireless Web: No. One Car Rental Company to Provide Customers Wireless Access from Any Device,” Business Wire, Aug. 7, 2001.
buy.com, www.buy.com homepage, printed Oct. 13, 2004.
Chen et al., “Detecting Web Page Structure for Adaptive Viewing on Small Form Factor Devices,” ACM, May 20-24, 2003.
Chen, M. (2007). Knowledge assisted data management and retrieval in multimedia database systems (Order No. 3268643).
Y.K. Choi and S. K. Kim, “An auxiliary reccomendation system for repetitively purchasing items in E-commerce,” 2014 International Conference on Big Data and Smart Computing (BIGCOMP), Bangkok, 2014, pp. 96-98. (Year 2014).
Clarke, “Research Programme in Supra-organizational Systems,” Electronic Markets—The International Journal, Oct. 1993, 2 pages, vol. 3, No. 3.
Clemons et al., “Evaluating the prospects for alternative electronic securities markets,” Proceedings of the twelfth International conference on information systems, New York, New York, United States, pp. 53-64, 1991.
Fan, J., Keim, F.A., Gao, Y., Luo, H. and Li, Z. (2009). JustClick: Personalized Image Recommendation via Exploratory Search from Large-Scale Flickr Images. Feb. 2009. IEEE Transactions on Circuits and Systems for Video Technology, 19(2), pp. 2730288. (Year: 2009).
friendster.com, homepage and “more info” pages, printed Apr. 29, 2004.
Google News archive search for “2Roam marketing” performed over the date range 2000-2003.
Google News archive search for “2Roam SMS” performed over the date range 2000-2008.
Grabowski et al., “Mobile-enabled grid middleware and/or grid gateways,” GridLab—A Grid Application Toolkit and Testbed, Work Package 12—Access for Mobile Users, Jun. 3, 2003.
Graham, “The Emergence of Linked Fish Markets in Europe,” Electronic Markets—The International Journal, Jul. 1993, 4 pages, vol. 8, No. 2.
Gunthorpe et al., “Portfolio Composition and the Investment Horizon,” Financial Analysts Journal, Jan.-Feb. 1994, pp. 51-56.
Halperin, “Toward a Process Handbook for Organizational Coordination Processes,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
Hess et al., “Computerized Loan Origination Systems: An Industry Case Study of the Electronic Markets Hypothesis,” MIS Quarterly, Sep. 1994, pp. 251-275.
IBM, “Anyonymous Delivery of Goods in Electronic Commerce,” IBM Technical Disclosure Bulletin, Mar. 1996, pp. 363-366, vol. 39, No. 3.
IBM, “Personal Optimized Decision/Transaction Program,” IBM Technical Disclosure Bulletin, Jan. 1995, pp. 83-84, vol. 38, No. 1.
Icrossing, “Icrossing Search Synergy: Natural & Paid Search Symbiosis,” Mar. 2007.
IEEE 100—The Authoritative Dictionary of IEEE Standard Terms, Seventh Edition, 2000. Entire book cited; table of contents, source list, and terms beginning with A included. ISBN 0-7381-2601-2a.
Ives et al., “Editor's Comments—MISQ Central: Creating a New Intellectual Infrastructure,” MIS Quarterly, Sep. 1994, p. xxxv.
Joshi, “Information visibility and its effect on supply chain dynamics,” Ph.D. dissertation, Massachusetts Institute of Technology, 2000 (fig. 4.5; p. 45).
Klein, “Information Logistics,” Electronic Markets—The International Journal, Oct. 1993, pp. 11-12, vol. 3, No. 3.
Klein, “Introduction to Electronic Auctions,” Electronic Markets—The International Journal, Dec. 1997, 4 pages, vol. 7, No. 4.
Kubicek, “The Organization Gap,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
S. Kulkarni, A. M. Sankpal, R.R. Mudholkar and Kirankumari, “Recommendation engine: Matching individual/group profiles for better shopping experience,” 2013 15th International Conference on Advanced Computing Technologies (ICACT), Rajampet, 2013, pp. 1-6. (Year: 2013).
Kuula, “Telematic Services in Finland,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
Lalonde, “The EDI World Institute: An International Approach,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
Lee et al., “Intelligent Electronic Trading for Commodity Exchanges,” Electronic Markets—The International Journal, Oct. 1993, 2 pages, vol. 3, No. 3.
Lee et al., “Electronic Brokerage and Electronic Auction: The Impact of IT on Market Structures,” Proceedings of the 29th Annual Hawaii International Conference on System Sciences, 1996, pp. 397-406.
C25 Dubinsky, B., “Uncovering accounts payable fraud by using ‘fuzzy matching logic’: Part 1,” Business Credit 110.3:6 (4), National Association of Credit Management, Mar. 2008, (Year: 2008).
C26 Dubinsky, B., “Uncovering accounts payable fraud by using ‘fuzzy matching logic’: Part 2,” Business Credit 110.4: 64(3), National Association of Credit Management, Apr. 2008 (Year:2008).
C28 Haibin Liu, Vlado Keselj, “Combined mining of Web server logs and web contents for classifying user navigation patterns and predicting users' future requests,” Data & Knowledge Engineering, vol. 61, Issue 2, 2007, pp. 304-330 (Year: 2007).
C29 Sumathi et al., “Automatic Recommendation of Web Pages in Web Usage Mining,” International Journal on Computer Science and Engineering, vol. 02, No. 09, 2010 (Year: 2010).
C30 Harrington, Caitlin “The Future of Shopping” Wired 26. 12:30. Conde Nast Publications Inc. (Dec. 2018).
C31 Craver, Thom, Inside Bing's Spell Checker, Jan. 4, 2013, searchenginewatch.com, accessed at [https://www.searchenginewatch.com/2013/01/04/inside-beings-spell-checker/] (Year: 2013).
Provisional Applications (1)
Number Date Country
61820064 May 2013 US
Continuations (1)
Number Date Country
Parent 14861806 Sep 2015 US
Child 17074777 US
Continuation in Parts (1)
Number Date Country
Parent 14271113 May 2014 US
Child 14861806 US