Patent Application
20130218871
A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever.
One or more implementations relate generally to content-based recommendations for private network users.
The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also be inventions.
Some enterprises use computers to provide private network groups that enable real-time collaboration for their users. An example of a system that provides private network groups is salesforce.com's chatter. A private network group sends information proactively via a real-time news stream, or network feed. Users can subscribe to follow groups to receive broadcast updates about projects and customer statuses. Users can also post messages on the profiles of other members of their network group to collaborate on projects and customer service. Accordingly, it is desirable to provide techniques that enable a database system providing private network groups to improve the performance, efficiency, and the ease of use for collaborative work.
In accordance with embodiments, there are provided systems and methods for content-based recommendations for private network users. A system identifies a topic of interest based on analyzing content with which a user interface associated with a private network has interactions. Interactions include the user interface creating content and/or the user interface indicating interest in content. For example, a database system identifies “AppExchange” and “Reporting and Analytics” as topics of interest for Ann, who used her user interface to post content about “AppExchange” and to “like” postings about “Reporting and Analytics” via a first private network group. The system identifies a source associated with the topic of interest based on analyzing content with which multiple user interfaces associated with the private network have multiple interactions. The source includes content associated with the topic of interest and/or a content creator associated with the topic of interest. For example, the system identifies Bob as a source of multiple posts of content about “AppExchange” via a second network group, and identifies a post about “Reporting and Analytics” that prompted one hundred comments via a third private network group. The system outputs a recommendation for the user interface to access the source. For example, the system outputs a recommendation to Ann's user interface for Ann to subscribe to follow Bob's postings and to read the “Reporting and Analytics” posting that prompted one hundred comments. Accordingly, systems and methods are provided which enable a database system to make content-based recommendations for private network users.
While one or more implementations and techniques are described with reference to an embodiment in which content-based recommendations for private network users is implemented in a system having an application server providing a front end for an on-demand database service capable of supporting multiple tenants, the one or more implementations and techniques are not limited to multi-tenant databases nor deployment on application servers. Embodiments may be practiced using other database architectures, i.e., ORACLE®, DB2® by IBM and the like without departing from the scope of the embodiments claimed.
Any of the above embodiments may be used alone or together with one another in any combination. The one or more implementations encompassed within this specification may also include embodiments that are only partially mentioned or alluded to or are not mentioned or alluded to at all in this brief summary or in the abstract. Although various embodiments may have been motivated by various deficiencies with the prior art, which may be discussed or alluded to in one or more places in the specification, the embodiments do not necessarily address any of these deficiencies. In other words, different embodiments may address different deficiencies that may be discussed in the specification. Some embodiments may only partially address some deficiencies or just one deficiency that may be discussed in the specification, and some embodiments may not address any of these deficiencies.
In the following drawings like reference numbers are used to refer to like elements. Although the following figures depict various examples, the one or more implementations are not limited to the examples depicted in the figures.
Systems and methods are provided for content-based recommendations for private network users.
As used herein, the term multi-tenant database system refers to those systems in which various elements of hardware and software of the database system may be shared by one or more customers. For example, a given application server may simultaneously process requests for a great number of customers, and a given database table may store rows for a potentially much greater number of customers. As used herein, the term query plan refers to a set of steps used to access information in a database system.
Next, mechanisms and methods for content-based recommendations for private network users will be described with reference to example embodiments.
The following detailed description will first describe a method for content-based recommendations for private network users.
Next, a screen shot illustrating a frame of an example user interface screen is described.
In block 102, a topic of interest is identified based on analyzing content with which a user interface associated with a private network has interactions, wherein interactions include the user interface creating content and/or the user interface indicating interest in content. For example and without limitation, this can include the database system identifying “AppExchange” and “Reporting and Analytics” as topics of interest for a user named Ann, who is a member of a private network group named New Products Group. Ann posted content about “AppExchange,” created records about “Reporting and Analytics,” created files about “AppExchange” and “Reporting and Analytics,” provided a link about “AppExchange,” “liked” postings about “Reporting and Analytics,” shared content about “AppExchange” and “Reporting and Analytics,” read content about “AppExchange,” and requested recommendations for postings about “Reporting and Analytics” via her user interface.
The database system provides an option to a user who is accessing content to request for the database system to identify topics of interest related to the accessed content and to make recommendations based on the identified topics of interest. For example, Ann reads a link about “Chatter Combo Pack,” and requests for the database system to identify other content about “Chatter Combo Pack.” Such a request may be prioritized and/or based on combined topics of interest. For example, Ann may request to receive recommendations for content that is about both “AppExchange” and “Reporting and Analytics” because she is interested in the combination of these two topics. In another example, Ann may select to receive recommendations for content about both “AppExchange” and “Reporting and Analytics” to be listed in her recommendations prior to recommendations for content about “AppExchange” and then recommendations for content about “Reporting and Analytics.”
The database system analyzes the content in which a user indicates an interest or that the user creates to determine the user's topics of interest. The database system can analyze posts, records, files, links, comments, subscriptions, shares, likes, accesses, and requests based not only on the content within the posts, records, files, links, comments, subscriptions, shares, likes, accesses, and requests, but also based on the content of any metadata, names, and titles associated with the posts, records, files, links, comments, subscriptions, shares, likes, accesses, and requests. The database system may analyze content based on key words, such as “AppExchange,” based on combinations of words, such as “Reporting” and “Analytics,” and/or based on semantic ranking of frequently used words to identify topics of interest for a user, such as “AppExchange,” and “Reporting and Analytics.” Furthermore, the database system may also use content from associated public networks to supplement the private network content, such as also analyzing a user's LinkedIn® page to identify a user's topics of interest.
In block 104, a source associated with a topic of interest is identified based on analyzing content with which multiple user interfaces associated with a private network have multiple interactions, wherein the source includes content associated with the topic of interest and/or a content creator associated with the topic of interest. By way of example and without limitation, this can include the database system identifying Bob as a source of multiple posts of content about “AppExchange,” via his private network group named Software Engineers Group, and identifying the Software Engineers Group as the source of Bob's posts about “AppExchange and other group members' posts about “AppExchange.” The database system identifies a group that creates and/or indicates an interest in content that includes topics of interest because a user in a large corporation may not be able to identify such a group out of the thousands of possible groups to which the user may subscribe. The database system also identifies a post about “Reporting and Analytics” that prompted one hundred comments via a third private network group, as well as records about “AppExchange,” files about “AppExchange” and “Reporting and Analytics,” and links about “AppExchange,” via a private network group other than the New Products Group and the Software Engineers Group.
The database system may give greater priority when a group and/or a person in a role identified by a user as important indicates an interest in or creates content, such as a group of supervisors that include the user's supervisor posting about a collaborative project, and the Chief Executive Office of the user's employer posting about the employer's long-range plans. In contrast to public network groups, the database system can analyze posts, records, files, links, comments, subscriptions, shares, likes, accesses, and requests for other users for whom a user may have no direct access, such as the other users who are not in the user's private network group and who the user is not subscribed to follow. The database system may also analyze private content to determine topics of interest for a user, not to make other users' private content accessible to the user.
In block 106, a recommendation is output for a user interface to access a source. In embodiments, this can include the database system outputting recommendations to Ann's user interface for Ann to subscribe to Bob to follow his postings, and/or to subscribe to Bob's private network group, Software Engineer Group. The database system may also output recommendations to read the “Reporting and Analytics” posting that prompted one hundred comments, to read records about “AppExchange,” to read files about “AppExchange” and “Reporting and Analytics,” and to read links about “AppExchange,” via a private network group that differs from the New Products Group and the Software Engineers Group.
The recommendations may prioritized for the sources and the topics of interest based on analyzing content with which the user interface associated with the private network has interactions. For example, the list of recommendations may begin with the recommendation to subscribe to follow Bob because the analysis of Ann's content via the New Products Group indicates more references to “AppExchange” than references to “Reporting and Analytics,” and Bob is the source of more content about “App Exchange” than any other user in any of the private network groups.
In block 108, a selection of a recommendation to access a source is optionally received from a user interface. For example and without limitation, this can include the database system receiving Ann's selection of the recommendation to subscribe to follow Bob.
In block 110, access for a user interface to source is optionally enabled. By way of example and without limitation, this can include the database system subscribing Ann to follow Bob.
The method 100 may be repeated as desired. Although this disclosure describes the blocks 102-110 executing in a particular order, the blocks 102-110 may be executed in a different order.
The frame 200 may be part of a larger display screen that includes fields for users to enter commands to create, retrieve, edit, and store records. The database system may output a display screen that includes the frame 200 in response to a search based on search criteria input via a user interface. Because the frame 200 is a sample, the frame 200 could vary greatly in appearance. For example, the relative sizes and positioning of the text is not important to the practice of the present disclosure. The frame 200 can be depicted by any visual display, but is preferably depicted by a computer screen. The frame 200 could also be output as a report and printed or saved in electronic format, such as PDF. The frame 200 can be part of a personal computer system and/or a network, and operated from system data received by the network, and/or on the Internet. The frame 200 may be navigable by a user. Typically, a user can employ a touch screen input or a mouse input device to point-and-click to a location on the frame 200 to manage the text on the frame 200, such as a selection that enables a user to edit the text. Alternately, a user can employ directional indicators, or other input devices such as a keyboard. The text depicted by the frame 200 is an example, as the frame 200 may include a much greater amount of text. The frame 200 may also include fields in which a user can input textual information.
Environment 310 is an environment in which an on-demand database service exists. User system 312 may be any machine or system that is used by a user to access a database user system. For example, any of user systems 312 can be a handheld computing device, a mobile phone, a laptop computer, a work station, and/or a network of computing devices. As illustrated in
An on-demand database service, such as system 316, is a database system that is made available to outside users that do not need to necessarily be concerned with building and/or maintaining the database system, but instead may be available for their use when the users need the database system (e.g., on the demand of the users). Some on-demand database services may store information from one or more tenants stored into tables of a common database image to form a multi-tenant database system (MTS). Accordingly, “on-demand database service 316” and “system 316” will be used interchangeably herein. A database image may include one or more database objects. A relational database management system (RDMS) or the equivalent may execute storage and retrieval of information against the database object(s). Application platform 318 may be a framework that allows the applications of system 316 to run, such as the hardware and/or software, e.g., the operating system. In an embodiment, on-demand database service 316 may include an application platform 318 that enables creation, managing and executing one or more applications developed by the provider of the on-demand database service, users accessing the on-demand database service via user systems 312, or third party application developers accessing the on-demand database service via user systems 312.
The users of user systems 312 may differ in their respective capacities, and the capacity of a particular user system 312 might be entirely determined by permissions (permission levels) for the current user. For example, where a salesperson is using a particular user system 312 to interact with system 316, that user system has the capacities allotted to that salesperson. However, while an administrator is using that user system to interact with system 316, that user system has the capacities allotted to that administrator. In systems with a hierarchical role model, users at one permission level may have access to applications, data, and database information accessible by a lower permission level user, but may not have access to certain applications, database information, and data accessible by a user at a higher permission level. Thus, different users will have different capabilities with regard to accessing and modifying application and database information, depending on a user's security or permission level.
Network 314 is any network or combination of networks of devices that communicate with one another. For example, network 314 can be any one or any combination of a LAN (local area network), WAN (wide area network), telephone network, wireless network, point-to-point network, star network, token ring network, hub network, or other appropriate configuration. As the most common type of computer network in current use is a TCP/IP (Transfer Control Protocol and Internet Protocol) network, such as the global internetwork of networks often referred to as the “Internet” with a capital “I,” that network will be used in many of the examples herein. However, it should be understood that the networks that the one or more implementations might use are not so limited, although TCP/IP is a frequently implemented protocol.
User systems 312 might communicate with system 316 using TCP/IP and, at a higher network level, use other common Internet protocols to communicate, such as HTTP, FTP, AFS, WAP, etc. In an example where HTTP is used, user system 312 might include an HTTP client commonly referred to as a “browser” for sending and receiving HTTP messages to and from an HTTP server at system 316. Such an HTTP server might be implemented as the sole network interface between system 316 and network 314, but other techniques might be used as well or instead. In some implementations, the interface between system 316 and network 314 includes load sharing functionality, such as round-robin HTTP request distributors to balance loads and distribute incoming HTTP requests evenly over a plurality of servers. At least as for the users that are accessing that server, each of the plurality of servers has access to the MTS' data; however, other alternative configurations may be used instead.
In one embodiment, system 316, shown in
One arrangement for elements of system 316 is shown in
Several elements in the system shown in
According to one embodiment, each user system 312 and all of its components are operator configurable using applications, such as a browser, including computer code run using a central processing unit such as an Intel Pentium® processor or the like. Similarly, system 316 (and additional instances of an MTS, where more than one is present) and all of their components might be operator configurable using application(s) including computer code to run using a central processing unit such as processor system 317, which may include an Intel Pentium® processor or the like, and/or multiple processor units. A computer program product embodiment includes a machine-readable storage medium (media) having instructions stored thereon/in which can be used to program a computer to perform any of the processes of the embodiments described herein. Computer code for operating and configuring system 316 to intercommunicate and to process webpages, applications and other data and media content as described herein are preferably downloaded and stored on a hard disk, but the entire program code, or portions thereof, may also be stored in any other volatile or non-volatile memory medium or device as is well known, such as a ROM or RAM, or provided on any media capable of storing program code, such as any type of rotating media including floppy disks, optical discs, digital versatile disk (DVD), compact disk (CD), microdrive, and magneto-optical disks, and magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data. Additionally, the entire program code, or portions thereof, may be transmitted and downloaded from a software source over a transmission medium, e.g., over the Internet, or from another server, as is well known, or transmitted over any other conventional network connection as is well known (e.g., extranet, VPN, LAN, etc.) using any communication medium and protocols (e.g., TCP/IP, HTTP, HTTPS, Ethernet, etc.) as are well known. It will also be appreciated that computer code for implementing embodiments can be implemented in any programming language that can be executed on a client system and/or server or server system such as, for example, C, C++, HTML, any other markup language, Java™, JavaScript, ActiveX, any other scripting language, such as VBScript, and many other programming languages as are well known may be used. (Java™ is a trademark of Sun Microsystems, Inc.).
According to one embodiment, each system 316 is configured to provide webpages, forms, applications, data and media content to user (client) systems 312 to support the access by user systems 312 as tenants of system 316. As such, system 316 provides security mechanisms to keep each tenant's data separate unless the data is shared. If more than one MTS is used, they may be located in close proximity to one another (e.g., in a server farm located in a single building or campus), or they may be distributed at locations remote from one another (e.g., one or more servers located in city A and one or more servers located in city B). As used herein, each MTS could include one or more logically and/or physically connected servers distributed locally or across one or more geographic locations. Additionally, the term “server” is meant to include a computer system, including processing hardware and process space(s), and an associated storage system and database application (e.g., OODBMS or RDBMS) as is well known in the art. It should also be understood that “server system” and “server” are often used interchangeably herein. Similarly, the database object described herein can be implemented as single databases, a distributed database, a collection of distributed databases, a database with redundant online or offline backups or other redundancies, etc., and might include a distributed database or storage network and associated processing intelligence.
User system 312, network 314, system 316, tenant data storage 322, and system data storage 324 were discussed above in
Application platform 318 includes an application setup mechanism 438 that supports application developers' creation and management of applications, which may be saved as metadata into tenant data storage 322 by save routines 436 for execution by subscribers as one or more tenant process spaces 404 managed by tenant management process 410 for example. Invocations to such applications may be coded using PL/SOQL 34 that provides a programming language style interface extension to API 432. A detailed description of some PL/SOQL language embodiments is discussed in commonly owned U.S. Pat. No. 7,730,478 entitled, METHOD AND SYSTEM FOR ALLOWING ACCESS TO DEVELOPED APPLICATIONS VIA A MULTI-TENANT ON-DEMAND DATABASE SERVICE, by Craig Weissman, filed Sep. 21, 2007, which is incorporated in its entirety herein for all purposes. Invocations to applications may be detected by one or more system processes, which manages retrieving application metadata 416 for the subscriber making the invocation and executing the metadata as an application in a virtual machine.
Each application server 400 may be communicably coupled to database systems, e.g., having access to system data 325 and tenant data 323, via a different network connection. For example, one application server 4001 might be coupled via the network 314 (e.g., the Internet), another application server 400N-1 might be coupled via a direct network link, and another application server 400N might be coupled by yet a different network connection. Transfer Control Protocol and Internet Protocol (TCP/IP) are typical protocols for communicating between application servers 400 and the database system. However, it will be apparent to one skilled in the art that other transport protocols may be used to optimize the system depending on the network interconnect used.
In certain embodiments, each application server 400 is configured to handle requests for any user associated with any organization that is a tenant. Because it is desirable to be able to add and remove application servers from the server pool at any time for any reason, there is preferably no server affinity for a user and/or organization to a specific application server 400. In one embodiment, therefore, an interface system implementing a load balancing function (e.g., an F5 Big-IP load balancer) is communicably coupled between the application servers 400 and the user systems 312 to distribute requests to the application servers 400. In one embodiment, the load balancer uses a least connections algorithm to route user requests to the application servers 400. Other examples of load balancing algorithms, such as round robin and observed response time, also can be used. For example, in certain embodiments, three consecutive requests from the same user could hit three different application servers 400, and three requests from different users could hit the same application server 400. In this manner, system 316 is multi-tenant, wherein system 316 handles storage of, and access to, different objects, data and applications across disparate users and organizations.
As an example of storage, one tenant might be a company that employs a sales force where each salesperson uses system 316 to manage their sales process. Thus, a user might maintain contact data, leads data, customer follow-up data, performance data, goals and progress data, etc., all applicable to that user's personal sales process (e.g., in tenant data storage 322). In an example of a MTS arrangement, since all of the data and the applications to access, view, modify, report, transmit, calculate, etc., can be maintained and accessed by a user system having nothing more than network access, the user can manage his or her sales efforts and cycles from any of many different user systems. For example, if a salesperson is visiting a customer and the customer has Internet access in their lobby, the salesperson can obtain critical updates as to that customer while waiting for the customer to arrive in the lobby.
While each user's data might be separate from other users' data regardless of the employers of each user, some data might be organization-wide data shared or accessible by a plurality of users or all of the users for a given organization that is a tenant. Thus, there might be some data structures managed by system 316 that are allocated at the tenant level while other data structures might be managed at the user level. Because an MTS might support multiple tenants including possible competitors, the MTS should have security protocols that keep data, applications, and application use separate. Also, because many tenants may opt for access to an MTS rather than maintain their own system, redundancy, up-time, and backup are additional functions that may be implemented in the MTS. In addition to user-specific data and tenant specific data, system 316 might also maintain system level data usable by multiple tenants or other data. Such system level data might include industry reports, news, postings, and the like that are sharable among tenants.
In certain embodiments, user systems 312 (which may be client systems) communicate with application servers 400 to request and update system-level and tenant-level data from system 316 that may require sending one or more queries to tenant data storage 322 and/or system data storage 324. System 316 (e.g., an application server 400 in system 316) automatically generates one or more SQL statements (e.g., one or more SQL queries) that are designed to access the desired information. System data storage 324 may generate query plans to access the requested data from the database.
Each database can generally be viewed as a collection of objects, such as a set of logical tables, containing data fitted into predefined categories. A “table” is one representation of a data object, and may be used herein to simplify the conceptual description of objects and custom objects. It should be understood that “table” and “object” may be used interchangeably herein. Each table generally contains one or more data categories logically arranged as columns or fields in a viewable schema. Each row or record of a table contains an instance of data for each category defined by the fields. For example, a CRM database may include a table that describes a customer with fields for basic contact information such as name, address, phone number, fax number, etc. Another table might describe a purchase order, including fields for information such as customer, product, sale price, date, etc. In some multi-tenant database systems, standard entity tables might be provided for use by all tenants. For CRM database applications, such standard entities might include tables for Account, Contact, Lead, and Opportunity data, each containing pre-defined fields. It should be understood that the word “entity” may also be used interchangeably herein with “object” and “table”.
In some multi-tenant database systems, tenants may be allowed to create and store custom objects, or they may be allowed to customize standard entities or objects, for example by creating custom fields for standard objects, including custom index fields. U.S. Pat. No. 7,779,039, filed Apr. 2, 2004, entitled “Custom Entities and Fields in a Multi-Tenant Database System”, which is hereby incorporated herein by reference, teaches systems and methods for creating custom objects as well as customizing standard objects in a multi-tenant database system. In certain embodiments, for example, all custom entity data rows are stored in a single multi-tenant physical table, which may contain multiple logical tables per organization. It is transparent to customers that their multiple “tables” are in fact stored in one large table or that their data may be stored in the same table as the data of other customers.
While one or more implementations have been described by way of example and in terms of the specific embodiments, it is to be understood that one or more implementations are not limited to the disclosed embodiments. To the contrary, it is intended to cover various modifications and similar arrangements as would be apparent to those skilled in the art. Therefore, the scope of the appended claims should be accorded the broadest interpretation so as to encompass all such modifications and similar arrangements.
This application is a continuation-in-part of U.S. patent application Ser. No. 13/401,514, filed Feb. 21, 2012 (Attorney Docket No. 1200.107.NPR1/681US1), the entire contents of which are incorporated herein by reference.
| Number | Date | Country | |
|---|---|---|---|
| Parent | 13401514 | Feb 2012 | US |
| Child | 13766149 | US |
