A system for providing targeted advertisement based on user profile and location

Abstract

A system for providing targeted advertisement based on user profile and location [0027] The invention relates to a system (100) for providing targeted advertisement based on user profile and location. The system (100) comprises a web server (101) for providing browsing insights associated with one or more users over a communication network (105), wherein the users belong to one family. Further, the system (100) comprises a location determination unit (102) for providing location information of the users. Furthermore, the system (100) is configured to analyze the browsing insights and location information associated with the users, predict the age of the users based on the browsing insights, establish a user profile and corelate with the relevant location, and select and provide one or more targeted advertisements from among candidate advertisements to the user.

Description

TITLE OF THE INVENTIONA system for providing targeted advertisement based on user profile and locationDESCRIPTION OF THE INVENTIONTechnical field of the invention

[0001] The present invention relates to a system and method for providing targeted advertisement based on user profile and location. The invention particularly relates to the delivery of targeted advertisements based on the correlation between user profile and user location.

[0002] Background of the invention

[0003] Advertising is important in business because it can bring in new customers without requiring direct interaction. The advertising industry is growing by leaps and bounds, inventing new ideas for its clients to attract new customers while also retaining existing ones. With the advent of the internet, its ever-evolving technology, and growing mass appeal, web-based advertising is becoming increasingly popular. Web-based advertising has shifted its focus from general advertising to targeted advertising using different techniques.

[0004] Due to the growing number of online users, the internet is quickly evolving into a preferred medium for advertising with enormous potential. The ability to customize advertisements to reflect consumer interests or needs has been made possible by online advertising. On the basis of the content of the website visited or the search term, targeting can be done. However, targeting may also be based on consumer data collected, for example, through cookies or other tracking technologies. Online targeted advertising canbenefit consumers, especially when it's tailored to match consumers' interests and even allows for the protection of specific consumers, such as by filtering out ads that might be inappropriate for minors.

[0005] Web server records organize the sequence of web events generated by each user (commonly known as click-streams). These records contain very valuable user behavior that must be discovered and analyzed. A correct analysis may then be used to improve the website's contents and structure, adapt, and personalize content, recommend products or understand user interest in specific products.

[0006] For instance, US Patent Application No. RU2541191C2 titled “Content recommendations based on browsing information” discloses a computer-implemented system for presenting content to a subscriber comprises: a detection component for detecting an inactive subscriber in a session of a website portal; a tracking component for tracking interaction of the inactive subscriber with the session content; and an analysis component for analyzing subscriber browsing behavior, extrapolating subscriber experience level based on the analysis, and suggesting content as session content, wherein the subscriber experience level is extrapolated by tracking how often a subscriber selects Help and other menu categories; and a content component for obtaining and presenting new content targeted to the inactive subscriber during the session based on the tracked interaction of the inactive subscriber with the session content, wherein the session content is new content as part of the session content based on the subscriber experience level. However, “RU2541191C2” only discloses a computer-implemented system for providing the receipt and presentation of relevant content to a user and does not disclose details pertaining to delivering of the targeting advertisements based on user profile.

[0007] For instance, US Patent Application No. US20080214157A1 titled “Categorization of a Mobile User Profile Based on Browse Behavior” discloses a method and system for using wireless provider data to ascertain a web browser activity, recording a user's mobile web browser activity performed on a mobile communication facility, storing a plurality of mobile web browser activities to determine a relationship among web browser activities, creating a category of user profile based at least in part on the analysis, associating thecategory of user profile with the user, and presenting a content to the mobile communication facility based at least in part on the category of user profile. However, “KR20210041458A” only discloses a method for presenting a content to the mobile communication facility based at least in part on the category of user profile and does not disclose details pertaining to delivering of the targeting advertisements based on the correlation of user profile with user location.

[0008] For instance, US Patent Application No. US20080228537A1 titled “Systems and methods for targeting advertisements to users of social-networking and other web 2.0 websites and applications” discloses a method and system for managing and delivering electronic advertisements to targeted users of an electronic communication network. The present inventions target advertisements based on the user's interactions with or behaviors exhibited on sites within the communication network. The present inventions also define audiences of target users based on the users' interaction with or behaviors on the sites and / or their responses to advertisements. However, “US20080228537A1” only discloses a method of targeting to a user of the communication network specific advertisements based on that user's activities in the communication network and does not disclose details pertaining to delivering of the targeting advertisements based on the correlation of user profile with user location.

[0009] Hence, there exists a need for a system for providing targeted advertisement based on user profile and location.Summary of the invention:

[0010] The present invention overcomes the drawbacks of the prior art by disclosing a system for providing targeted advertisement based on user profile and location, wherein the system comprises a web server for providing browsing insights associated with one or more users over a communication network, wherein the users belong to one family. Further, the system comprises a location determination unit for providing location information of the users. Furthermore, the system comprises a processor unit and a memory unit which is communicatively coupled to the processor unit, wherein the memory unit stores processor-executable instructions which, on execution by the processor unit, causes the processor unit to: (i) analyze the browsing insights and location information associated with the users, (ii) predict the age of the users based on the browsing insights, (iii) establish a user profile and corelate with the relevant location, and (iv) select and provide one or more targeted advertisements from among candidate advertisements to the user.

[0011] The present invention discloses a method for providing targeted advertisement based on user profile and location, wherein the method comprises the steps of collecting browsing insights from a web server over a communication network and location information from a location determination unit associated with one or more users. Further, the method analyzes the browsing insights and location information associated with the users by a processor unit. Further, the method predicts the age of the users based on the browsing insights by the processor unit. Further, the method establishes a user profile and corelate with the relevant location by the processor unit. Furthermore, the method selects and provides one or more targeted advertisements from among candidate advertisements to the user by the processor unit.

[0012] The present invention provides a system for determining the user's age based on browsing insights. The current invention assists in comprehending each user in the family, their relationship with one another, and their distinct differences in personalities, interests, and browsing patterns. The current invention aids in the creation of user profiles and the derivation of a correlation between each user profile and the relevant location. Furthermore, the current invention derives smart digital advertising targeting from location insights and collective family browsing patterns.Brief Description of drawings

[0013] Figure 1 illustrates a block diagram of an environment for a system for providing targeted advertisements based on user profile and location, in accordance with one embodiment of the present invention.

[0014] Figure ! illustrates a flowchart of the method for providing targeted advertisements based on user profile and location, in accordance with one embodiment of the present invention.Detailed description of the invention

[0015] In order to more clearly and concisely describe and point out the subject matter of the claimed invention, the following definitions are provided for specific terms, which are used in the following written description.

[0016] The present invention relates to a system for providing targeted advertisements based on user profile and location. The system is configured to collect unique browsing data for each and every user in the family, as well as their relationships with one another. The system is configured to gain deeper insights of each member of the family and their location. Furthermore, the system is configured to infer from location insights and collective family browsing patterns to target smart digital advertisements.

[0017] Figure 1 illustrates a block diagram of an environment for a system for providing targeted advertisements based on user profile and location. The system (100) comprises a web server (101) for providing browsing insights associated with one or more users over a communication network (105), wherein the users belong to one family. Further, the system (100) comprises a location determination unit (102) for providing location information of the users.

[0018] In an embodiment, the communication network (105) may include a communication medium through which the system (100), the server (101), and one or more user device may communicate with each other. Examples of the communication network (105) may include, but are not limited to, the internet, a Wireless Fidelity (Wi-Fi) network, a Personal Area Network (PAN), a Local Area Network (LAN), or a Metropolitan Area Network (MAN). In an embodiment, a user device may include a computer system such as a desktop computer, notebook or laptop computer, netbook, a tablet computer, e-book reader, Global Positioning System (GPS) device, camera, Personal Digital Assistant (PDA), handheld electronic device, cellular telephone, smartphone, augmented / virtualreality device, electronic device, or any suitable combination thereof and may also include a web browser, such as MICROSOFT INTERNET EXPLORER, GOOGLE CHROME or MOZILLA FIREFOX, and may have one or more add-ons, plug-ins, or other extensions, such as TOOLBAR.

[0019] Further, the system (100) comprises a processor unit (103) and a memory unit (104) which is communicatively coupled to the processor unit (103). The memory unit (104) stores processor-executable instructions which, on execution by the processor unit (103), causes the processor unit (103) to analyze the browsing insights and location information associated with the users. Further, the processor unit (103) predicts the age of the users based on the browsing insights. Further, the processor unit (103) establishes a user profile and corelate with the relevant location, wherein the user profile comprises predefined distinctive personality, interests and browsing insights. Furthermore, the processor unit (103) selects and provides one or more targeted advertisements from among candidate advertisements to the user, wherein the advertisement is selected based on the correlation between the user profile and the relevant location. In an embodiment, the system (100) is configured to semantically correlate the relationship between the user profiles and the relevant location. More particularly, the system is configured to apply deep learning techniques, semantical and sentimental analysis, and artificial intelligence algorithms on the collected user data to correlate relationship between user profiles and their relevant location.

[0020] In an embodiment, the processor unit (103) analyzes buying behavior of one or more users based on the user profile. In an embodiment, the processor unit (103) may include suitable logic, circuitry, interfaces, and / or code that may be configured to s provide one or more targeted advertisements from among candidate advertisements to the user. The processor unit (103) may be implemented based on a number of processor technologies, which may be known to one ordinarily skilled in the art. Examples of implementations of the processor unit (103) may be a Graphics Processing Unit (GPU), a Reduced Instruction Set Computing (RISC) processor, an Application-Specific Integrated Circuit (ASIC) processor, a Complex Instruction Set Computing (CISC) processor, a microcontroller,Artificial Intelligence (Al) accelerator chips, a co-processor, a central processing unit (CPU), and / or a combination thereof.

[0021] The memory unit (104) may be a non-volatile memory or a volatile memory. Examples of non-volatile memory may include, but are not limited to a flash memory, a Read-Only Memory (ROM), a Programmable ROM (PROM), Erasable PROM (EPROM), and Electrically EPROM (EEPROM) memory. Examples of volatile memory may include but are not limited to Dynamic Random-Access Memory (DRAM), and Static Random- Access memory (SRAM). The memory unit (104) may also store various data that may be captured, processed, and / or required by the system.

[0022] In an embodiment, the web server (101) may include suitable logic, circuitry, interfaces, and / or code that may be configured to store, maintain, and execute one or more software platforms and programs, such as such as Artificial Intelligence (Al) programs and machine learning programs, online chat applications, and one or more databases that include historical and personal data of one or more users.

[0023] In an embodiment, the web server (101) is responsible for providing the data to the users with their consent using non-intrusive techniques. The browsing patterns of the users are semantically analyzed to obtain deeper insights of the browsing activities associated with the users. More particularly, deep learning techniques, semantic and sentimental analysis, and artificial intelligence algorithms are applied to the user browsing data / insights that has been collected to identify target advertisements and buying behavior of the users by correlating relationships between one or more attributes of one or more user profiles and user location.

[0024] In an embodiment, the user profile generally includes user identification data such as user ID, domain type, location, employer information, and other general user information. The browsing insights usually includes the specific content / websites displayed, the number of times the specific content / websites were displayed, the specific content / websites chosen by a user, and the web pages on which these specific contentswere displayed. User profiles that associate user interests based on the types of contents more particularly advertisements and web pages that users view can be delivered.

[0025] Referring now to FIG 2, a flowchart of the method for providing targeted advertisement based on user profile and location is illustrated. The method (200) for providing targeted advertisement based on user profile and location comprises the steps of collecting browsing insights from a web server (101) over a communication network (105) and location information from a location determination unit (102) associated with one or more users, wherein the users belong to one family at step (201). In step (202), the method analyzes the browsing insights and location information associated with the users by a processor unit (103). Further, in step (203) the method predicts the age of the users based on the browsing insights by the processor unit (103). Further, in step (204) the method establishes a user profile and corelates with the relevant location by the processor unit (103), wherein the user profile comprises predefined distinctive personality, interests and browsing insights. Furthermore, in step (205) the method selects and provides one or more targeted advertisements from among candidate advertisements to the user by the processor unit (103), wherein the advertisement is selected based on the correlation between the user profile and the relevant location.

[0026] The present invention provides a system for determining the user's age based on browsing insights. The current invention aids in comprehending each user in the family, their relationship with one another, and their distinct differences in personalities, interests, and browsing patterns. The current invention facilitates the creation of user profiles and the derivation of a correlation between each user profile and the relevant location. Furthermore, the current invention derives smart digital advertising targeting from location insights and collective family browsing patterns.Reference numbers:

Claims

ClaimsI claim:

1. A system for providing targeted advertisement based on user profile and location, the system (100) comprising: a) a web server (101) for providing browsing insights associated with one or more users over a communication network (105), wherein the users belong to one family; and b) a location determination unit (102) for providing location information of the users.

2. The system (100) as claimed in claim 1, wherein the system (100) comprises a processor unit (103) and a memory unit (104) which is communicatively coupled to the processor unit (103).

3. The system (100) as claimed in claim 1, wherein the memory unit (104) stores processor-executable instructions which, on execution by the processor unit (103), causes the processor unit (103) to: a) analyze the browsing insights and location information associated with the users; b) predict the age of the users based on the browsing insights; c) establish a user profile and corelate with the relevant location, wherein the user profile comprises predefined distinctive personality, interests and browsing insights; and d) select and provide one or more targeted advertisements from among candidate advertisements to the user, wherein the advertisement is selected based on the correlation between the user profile and the relevant location.

4. The system (100) as claimed in claim 1, wherein the processor unit (103) analyzes buying behavior of the one or more users based on the user profile.

5. A method for providing targeted advertisement based on user profile and location, the method (200) comprising the steps of: a. collecting browsing insights from a web server (101) over a communication network (105) and location information from a location determination unit (102) associated with one or more users, wherein the users belongs to one family; b. analyzing the browsing insights and location information associated with the users by a processor unit (103); c. predicting the age of the users based on the browsing insights by the processor unit (103); d. establishing a user profile and corelating with the relevant location by the processor unit (103), wherein the user profile comprises predefined distinctive personality, interests and browsing insights; and e. selecting and providing one or more targeted advertisements from among candidate advertisements to the user by the processor unit (103), wherein the advertisement is selected based on the correlation between the user profile and the relevant location.

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