Patent Application
20180012262
The present disclosure relates to the field of revenue driven models in search networks. More particularly, the present disclosure relates to computer implemented methods and system for keyword(s) trading and managing revenue in a search network.
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
Typically keywords are used in search engine to obtain the intended search results. Many of the search service providers have created paid inclusion or paid placement programs to obtain broader reach for more targeted advertising audiences. By identifying the keywords that the target audience is using to find information or products related to a business, a monetized search box is provided, that earn a fee or a commission for search service providers each time the user conducts a search.
For example, a user conducts search for “HOTELS IN BOMBAY”, in response the intended search results are displayed. For providing the targeted search results to the user the hotels in Bombay pay to search service providers to display their advertisements. In return the search service providers earn revenues by displaying the targeted search results. These advertising strategies implemented by the search service providers create huge revenue to the search service providers and the users are not benefited. Moreover, the search service providers fail to convert the keywords in to digital assets.
In the light of aforementioned discussion there exists need for a system and method that would ameliorate and overcome the abovementioned disadvantages.
The following presents a simplified summary of the disclosure in order to provide a basic understanding to the reader. This summary is not an extensive overview of the disclosure and it does not identify key/critical elements of the disclosure or delineate the scope of the disclosure. Its sole purpose is to present some concepts disclosed herein in a simplified form as a prelude to the more detailed description that is presented later.
Exemplary embodiments of the present disclosure are directed towards a computer implemented methods and system for trading keyword(s) and hashtag(s) and managing revenue in a search network.
An exemplary objective of the present disclosure it to provide a search network for enabling the user to earn assets by trading the keywords.
Another exemplary objective of the present disclosure is to convert the keyword(s) and hashtag(s) used in the search network to assets.
Another exemplary objective of the present disclosure is to dynamically track the value of keyword(s) and hashtag(s) and invest the assets earned for buying additional keyword(s) and hashtag(s).
Another exemplary objective of the present disclosure is to dynamically forecast the value of the keyword(s) based on the search trends associated with the keyword(s) hashtag(s).
Another exemplary objective of the present disclosure is to enable the user to use analytics tool to see and forecast the search trends associated with the keyword(s) and hashtag(s).
One or more of the above-disclosed embodiments in addition to certain alternatives are provided in further detail below with reference to the attached figures. The disclosed subject matter is not, however, limited to any particular embodiment disclosed.
The drawings described herein are for illustration purposes only and are not intended to limit the scope of the present disclosure in anyway. Throughout the disclosure, like elements are represented by like reference numerals, which are given by way of illustration only and thus are not limitative of the various embodiments.
Other objects and advantages of the present disclosure will become apparent to those skilled in the art upon reading the following detailed description of the preferred embodiments, in conjunction with the accompanying drawings, wherein:
It is to be understood that the present disclosure is not limited in its application to the details of construction and the arrangement of components set forth in the following description or illustrated in the drawings. The present disclosure is capable of other embodiments and of being practiced or of being carried out in various ways. Also, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting.
The use of “including”, “comprising” or “having” and variations thereof herein is meant to encompass the items listed thereafter and equivalents thereof as well as additional items. The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced item.
According to a non-limiting exemplary embodiment of the present disclosure, a computer implemented method and system for trading keyword and managing revenue in a search network are disclosed.
Referring to
The system 102 allows the user to trade keyword(s) in the search network. Trading keyword(s) in the search network may include but not limited to buying the keyword, selling the keyword. The keyword(s) here may include but not limited to any alphabet(s), word(s), special character(s), numeral(s), and alphanumeric character(s) and the combination of alphabet(s), word(s), special character(s), numeral(s), and alphanumeric character(s). The system 102 allows the user to buy the keyword(s) in the search network. Furthermore the system allows the user to input keyword(s) for retrieving the desired results. In response to the user using the keyword(s) of the owner, the system 102 dynamically credits assets to the account of the owner of the keyword. Also, the system 102 dynamically credits assets to the account of the user conducting the search in response to conducting the search in the search network. The assets here may include, but not limited, to Bitcoin, loyalty points, rewards, digital currency, vouchers, reward points, coupons, and cash. The assets earned by the user may be used for buying the keywords. For example, for each search made by the user using the keyword, the owner of the keyword earns predetermined value of assets. Considering the assets as a bitcoin, for instance if the keyword(s) owned by the user are used in the search network for 100 times, the keyword owner earns 10000 satoshis, where the profit percentage of the keyword owner is 25%. According to an exemplary embodiment of the present disclosure, the transactions associated with the keyword(s) trading may be recorded in a public distributed ledger called the block chain.
Referring to
The keyword selling logic 116 of the keyword trading unit 112 is configured to enable the owners to sell the keyword(s) and also enable the owners to associate a price range for selling the keywords in the search network. The owner of the keyword(s) may also allow the user to initiate bidding of the keyword(s) by associating a minimum value to a maximum value of the price range.
The keyword trading unit 112 also includes a keyword buying logic 118 configured for enabling the users to buy the keyword(s). The user may be allowed to register with the system 102 by providing the preferences and selecting the desired keyword(s) using the keyword analytics logic 122 supported by the keyword trading unit 112. The keyword analytics logic 122 helps the user to analyze and forecast the search trends of keyword(s) in the search network. The user may be allowed to select the desired keyword(s) and add the selected keyword(s) to the cart and proceed for the payment. The user may use the earned assets for making the payment. After completing the successful transaction the keyword(s) are credited in the user wallet.
The keyword trading unit 112 also includes a wallet managing logic 120 configured for managing the trading activities of the user in the search network. The keyword trading unit 112 also includes wallet management logic 120 for managing the trading activities of the user accounts in the search network. The keyword trading unit 112 further includes an escrow service logic 122 configured to manage transactions between a buyer of the keyword(s) and the seller of the keyword(s). For example, if the user buys selected keyword(s) in the search network and completes the payment for purchasing the keyword(s), the seller of the keyword releases the purchased keyword(s) for crediting in the account of the user i.e., seller. The purchased keyword(s) are initially credited in the escrow account managed by the escrow service logic 122. The keyword(s) are then released to the user's account from the escrow account.
The keyword trading unit 112 also includes a keyword analytics logic 124. The keyword analytics logic 124 enables the user of the search network and the owner of the keyword(s) to view and identify the number of instances the keyword is used to conduct search in the search network in a predetermined time period ranging from hours-days-weeks-months-years.
Referring to
In some embodiments, the system 102 may include a bus 312, a processor 314, a memory 316, a network device 318, an input device 320, and an output device 322. The bus 312 may include a path that permits communication among the components of the system 102.
The memory 316 stores the keyword searching logic 114, the keyword selling logic 116, keyword buying logic 118 and the wallet management logic 120. The keyword searching logic 114, the keyword selling logic 116, keyword buying logic 118 and the wallet management logic 120 may be stored as software in memory 316.
The memory 316 may be any type of computer memory known in the art or future-developed for electronically storing data and/or logic, including volatile and non-volatile memory. In this regard, memory 316 can include random access memory (RAM), read-only memory (ROM), flash memory, any magnetic computer storage unit, including hard disks, floppy discs, or magnetic tapes, and optical discs.
The processor 314 comprises processing hardware for interpreting or executing tasks or instructions stored in the memory 316. Note that the processor 314 may be a microprocessor, a digital processor, or other type of circuitry configured to run and/or execute instructions.
The network device 318 may be any type of network unit (e.g., a modem) known in the art or future-developed for communicating over a network 110 (
The input device 320 is any type of input unit known in the art or future-developed for receiving data. As an example, the input unit 320 may be a keyboard, a mouse, a touch screen, a serial port, a scanner, a camera, or a microphone.
The output device 322 may be any type of output unit known in the art or future-developed for displaying or outputting data. As an example, the output device 322 may be a liquid crystal display (LCD) or other type of video display unit, a speaker, or a printer.
Further note that, the system 102 components may be implemented by software, hardware, firmware or any combination thereof. In the exemplary system 102, depicted by
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The claimed subject matter has been provided here with reference to one or more features or embodiments. Those skilled in the art will recognize and appreciate that, despite of the detailed nature of the exemplary embodiments provided here; changes and modifications may be applied to said embodiments without limiting or departing from the generally intended scope. These and various other adaptations and combinations of the embodiments provided here are within the scope of the disclosed subject matter as defined by the claims and their full set of equivalents.
| Number | Date | Country | Kind |
|---|---|---|---|
| 1236/CHE/2015 | Mar 2015 | IN | national |
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/IB2015/057082 | 9/15/2015 | WO | 00 |
