US20120078715A1 - Advertising service based on content and user log mining - Google Patents

Advertising service based on content and user log mining Download PDF

Info

Publication number
US20120078715A1
US20120078715A1 US13/310,103 US201113310103A US2012078715A1 US 20120078715 A1 US20120078715 A1 US 20120078715A1 US 201113310103 A US201113310103 A US 201113310103A US 2012078715 A1 US2012078715 A1 US 2012078715A1
Authority
US
United States
Prior art keywords
registered users
webpages
demographic
accessed
search
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US13/310,103
Inventor
Li Li
Tarek Najm
Ying Li
Zheng Chen
Hua-Jun Zeng
Ke Tang
Zhifeng Yang
Fengping Zeng
Xianfang Wang
Xiafeng Dai
Benyu Zang
Jian Wang
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Microsoft Technology Licensing LLC
Original Assignee
Microsoft Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Microsoft Corp filed Critical Microsoft Corp
Priority to US13/310,103 priority Critical patent/US20120078715A1/en
Publication of US20120078715A1 publication Critical patent/US20120078715A1/en
Assigned to MICROSOFT TECHNOLOGY LICENSING, LLC reassignment MICROSOFT TECHNOLOGY LICENSING, LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: MICROSOFT CORPORATION
Abandoned legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0254Targeted advertisements based on statistics

Definitions

  • determining which web pages to place advertisements can be an important decision. It can be desirable to place advertisements on a web page that a specific target market frequently visits, or on a web page that is related to the marketed produce. Accordingly, it may be desirable for an online advertiser to have knowledge of the types of web pages that a specific target market frequently visits before the advertiser bids for or purchases the rights to advertise on a particular web page. Conventionally, advertisers have to rely on their instincts as to which web pages are related to their product or which web pages their target market frequently visits. It may be more desirable, however, to provide a more precise way in which advertisers can rely on statistical information that details the web pages that their target markets frequently visit and the web pages that keywords related to their products are likely to be found. Such statistical information can be based on tracking the searching habits of a certain population of web users, and can aide an online advertiser in placing their advertisements on web pages with a greater effect.
  • a system and method are disclosed for providing documents related to a search request.
  • the documents that are provided may be based on the searching habits of registered users.
  • the demographic attributes of the registered users can be associated with their search history and stored in an index.
  • the search request can be compared to the information stored in the index.
  • One or more documents that have been previously accessed by a registered user and that is associated with a search request can be provided.
  • FIG. 1 illustrates an embodiment of a system for implementing the invention
  • FIG. 2 illustrates an embodiment for creating an index of associated information including metadata from publishers' web pages, user profile data of registered users, and the search history of the registered users;
  • FIG. 3 illustrates an embodiment of a method for providing a document and user demographic attributes corresponding to a search request
  • FIG. 4 illustrates an embodiment of an UI for accepting search requests and providing search results.
  • the invention introduces a system and method for providing documents as search results related to a search request.
  • the search request can include a demographic search query including one or more demographic attributes, or the search request can include a search query of one or more keywords.
  • the documents provided that are related to the search request can be based on the searching habits of registered users of a searching service or a content manager. In the event that the search request is a search query including one or more keywords, demographic attributes of the registered users who access the provided documents can also be provided.
  • the documents in the search results list can be provided in a variety of order preferences including sorting the documents by relevance to a keywords or sorting the documents by the popularity of the documents. Once a first list of documents is originally provided, the list can be subsequently reordered by selecting another order preference.
  • FIG. 1 illustrates an embodiment of a system for implementing the invention.
  • Client 102 may be or include a desktop or laptop computer, a network-enabled cellular telephone (with or without media capturing/playback capabilities), wireless email client, or other client, machine or device to perform various tasks including Web browsing, search, electronic mail (email) and other tasks, applications and functions.
  • Client 102 may additionally be any portable media device such as digital still camera devices, digital video cameras (with or without still image capture functionality), media players such as personal music players and personal video players, and any other portable media device.
  • Client 102 can be used by any user or third-party.
  • Content manager 104 , search service 108 , and publisher 116 can include a server including, for instance, a workstation running the Microsoft Windows®, MacOSTM, Unix, Linux, Xenix, IBM AIXTM, Hewlett-Packard UXTM, Novell NetwareTM Sun Microsystems SolarisTM, OS/2TM, BeOSTM, Mach, Apache, OpenStepTM or other operating system or platform.
  • the content manager is a contextual advertisement system that is used to manager content and information related to contextual advertisements.
  • search service the search service is a search engine.
  • content manager 104 and search service 108 are separate devices, however, in other embodiments, the content manager and search service can be integrated into one device.
  • client 102 may also be a server.
  • Client 102 can include a communication interface.
  • the communication interface may be an interface that can allow the client to be directly connected to any other client, server, or device or allows the client 102 to be connected to a client, server, or device over network 106 .
  • Network 106 can include, for example, a local area network (LAN), a wide area network (WAN), or the Internet.
  • the client 102 can be connected to another client, device, or server via a wireless interface.
  • FIG. 2 illustrates an embodiment for creating an index of associated information including metadata from publishers' web pages, user profile data of registered users, and the search history of the registered users.
  • a publisher 116 FIG. 1
  • a publisher can be any website that registers with the content manager in order to have advertisements placed on its web pages.
  • a publisher can register with the content manager by submitting their primary uniform resource locators (URLs) to the content manager.
  • URLs uniform resource locators
  • the content manager can activate a crawler that will crawl any documents from the submitted URLs and as well as any documents from URLs linked to the submitted URLs within the publishers' domains.
  • a document can be a web page. In crawling the documents of the URLs, at operation 202 , any metadata, image data, multimedia data, text data, and any other information can be obtained from the corresponding documents. The obtained information can be stored in index 114 ( FIG. 1 ).
  • user profile data and the search history of the registered users can be obtained.
  • registered users are users who have registered with any properties of the search service 108 or content manager 104 ( FIG. 1 ).
  • a registered user can provide any type of demographic attributes including, but not limited to, age, gender, country and/or city of residence, occupation, interests, income, etc.
  • demographic attributes can be stored and obtained from user profile database 110 ( FIG. 1 ).
  • user profile database 110 may also be stored in the content manager.
  • the searching service can monitor and track the searching history of registered users through use of a conventional means such as, but not limited to, using cookies.
  • the search history can include the documents accessed by registered users, the search queries used by registered users, as well as the particular method a registered user employed when accessing a document or searching the Internet at any given moment.
  • accessing a document can include browsing a web page.
  • the search history of registered users can be stored and obtained from search log 112 ( FIG. 1 ).
  • demographic attributes can also be obtained from a publisher.
  • a publisher through use of a conventional means such as, but not limited to, using a cookie, can monitor and track the users that have accessed any of its documents. Such users can be users who have registered with the property of the searching service or content manager.
  • a publisher will be issued a cookie from the content manager, the search service, or any other entity in order to monitor the registered users who access any of its documents. With the cookie, if a registered user accesses a publisher's document, the publisher will be able to attain the demographic attributes of the user.
  • the publisher can then store the demographic attributes of the users who have accessed its documents in user profile database 118 ( FIG. 1 ).
  • the demographic attributes can subsequently be obtained from user profile database 118 at operation 204 .
  • the data crawled and obtained from the publishers' submitted URLs, the user profile information, the user search history information, and any other desired information can be associated together and stored in index 114 ( FIG. 1 ).
  • Associating the information in the index can include associating each user's demographic attributes with the search queries they submitted and the documents that they have accessed while on the Internet.
  • the user's demographic information can be associated with the crawled information within the index.
  • only documents from publishers and the search history related to publishers will be associated and stored with the demographic attributes of registered users.
  • FIG. 3 illustrates an embodiment of a method for providing a document and user demographic attributes corresponding to a search request.
  • a search request is received.
  • the search request is a demographic search query that includes one or more demographic attributes.
  • the search request includes a search query with one or more keywords.
  • the keywords can be non-demographic keywords that are not related to demographic information.
  • the search request is associated with the user demographic attributes and the search history data in the index 114 ( FIG. 1 ) that was created in the method of FIG. 2 .
  • the demographic attributes of the demographic search query can be compared to the demographic attributes of the registered users stored in the index. In the comparison, registered users with similar demographic attributes to those in the demographic search query can be identified along with the documents that these users have accessed.
  • the documents accessed by the identified users are provided.
  • the keywords can be compared to search queries stored in index 114 ( FIG. 1 ) that have been submitted by registered users.
  • the keywords can also be compared to the crawled information that was obtained from the publishers' URLs.
  • documents can be identified that are related to the keywords from the search query.
  • the documents are web pages
  • the web pages that are related to the keywords in the received search query can be identified.
  • the identified documents are provided.
  • demographic attributes associated with the identified documents can also be provided at operation 308 .
  • the demographic attributes of the registered users who have accessed the identified documents can be provided.
  • the demographic attributes of the registered users who have submitted search queries similar to the keywords in the search request may also be provided.
  • the documents can be arranged in an ordered list of results.
  • the documents can be arranged in any type of order that is determined by the content manager or the search service.
  • the identified documents can be arranged in list based on popularity of the documents.
  • the documents are web pages
  • the identified web pages can be provided in an ascending/descending ordered list of popularity.
  • the level of popularity that each web page receives can be based on any type of algorithm that is determined by the content manager, the search service, or any third party.
  • a web page's level of popularity can be based on the number of users that have visited the web page.
  • the identified documents can be arranged in an ascending/descending ordered list of relevance to the keywords. For example, the document that is the most relevant to the keywords can be provided first in the list of results followed by a descending order of search results with respective relevance levels to the keywords.
  • the level of relevance that each document receives can be based on any type of algorithm that can be determined by the content manager or the search service.
  • the list of documents may be subsequently reordered.
  • a user interface is provided to display the list of identified documents to a user.
  • An icon, symbol, hyperlink, switch, or any other trigger mechanism may be provided within the UI that when accessed triggers the UI to display a reordered list of the identified documents based on another order preference.
  • the list of identified documents originally may be provided in an ordered list based on a level of relevance to the keywords within the search query.
  • a user may subsequently access a trigger mechanism that triggers the UI to display a reordered the list of the identified documents based on the popularity of the documents.
  • a search request can include both a demographic search query and a search query with one or more keywords.
  • a search request including a one or more keywords may be received along with a demographic search query.
  • the search request can provide documents that are both related to the keywords and that are accessed by those registered users with demographic attributes corresponding to the demographic search query.
  • a demographic search query can be used to refine a search results list of documents related to a search request including keywords, and vice versa.
  • a first search request including keywords can produce a first results list of documents.
  • a second search request including a demographic search query can be received that produces a second results list that filters out those documents from the first results list that have been accessed by registered users with demographic attributes corresponding to the demographic search query.
  • FIG. 4 illustrates an embodiment of an UI 400 for accepting search requests and providing search results.
  • a user can input any number of keywords as a search request in order to search for corresponding documents.
  • input fields 404 and 406 a user can input demographic attributes in order to search for corresponding documents.
  • Input field 404 represents a structured format for inputting demographic attributes.
  • the structured format includes any number of predefined identifiers that a user can select in order to create a demographic search query.
  • Input field 406 represents an unstructured format for inputting demographic attributes.
  • the unstructured format can be configured to allow a user to freely enter any text related to any type of demographic attribute.
  • Trigger mechanism 408 allows a user to toggle between two or more search result ordering preferences.
  • a user is able to display search results ordered by relevance or by popularity.
  • Trigger mechanism 408 can be accessed by any conventional methods including selecting the mechanism with a mouse cursor.
  • Demographic statistic region 410 can be used to provide any type of demographic statistics corresponding to a document identified in the search results list.
  • the statistic region 410 can include textual information as well as graphical information.
  • the demographic region can be a pop-up window, a side-pane window (left or right), a top-pane window, or a bottom-pane window.

Abstract

A system and method are disclosed for providing documents related to a search request. The search request may include a search query of one or more keywords, or the search request may be a demographic search query including one or more demographic attributes. An index containing data crawled from publisher's websites, demographic information of registered users, along with the search history of the registered users can be created. Once a search request is received, the search request can be compared to the information stored in the index, and one or more documents related to the request can be provided.

Description

    CROSS-REFERENCE TO RELATED APPLICATIONS
  • This application claims priority to and is a continuation of U.S. patent application Ser. No. 11/378,323 filed Mar. 20, 2006 the disclosure of which is hereby incorporated herein in its entirety by reference.
  • BACKGROUND
  • In the field of online advertising, determining which web pages to place advertisements can be an important decision. It can be desirable to place advertisements on a web page that a specific target market frequently visits, or on a web page that is related to the marketed produce. Accordingly, it may be desirable for an online advertiser to have knowledge of the types of web pages that a specific target market frequently visits before the advertiser bids for or purchases the rights to advertise on a particular web page. Conventionally, advertisers have to rely on their instincts as to which web pages are related to their product or which web pages their target market frequently visits. It may be more desirable, however, to provide a more precise way in which advertisers can rely on statistical information that details the web pages that their target markets frequently visit and the web pages that keywords related to their products are likely to be found. Such statistical information can be based on tracking the searching habits of a certain population of web users, and can aide an online advertiser in placing their advertisements on web pages with a greater effect.
  • SUMMARY
  • A system and method are disclosed for providing documents related to a search request. The documents that are provided may be based on the searching habits of registered users. The demographic attributes of the registered users can be associated with their search history and stored in an index. When a search request is received, the search request can be compared to the information stored in the index. One or more documents that have been previously accessed by a registered user and that is associated with a search request can be provided.
  • This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
  • DESCRIPTION OF THE DRAWINGS
  • Illustrative embodiments of the invention are described in detail below with reference to the attached drawing figures, and wherein:
  • FIG. 1 illustrates an embodiment of a system for implementing the invention;
  • FIG. 2 illustrates an embodiment for creating an index of associated information including metadata from publishers' web pages, user profile data of registered users, and the search history of the registered users;
  • FIG. 3 illustrates an embodiment of a method for providing a document and user demographic attributes corresponding to a search request; and
  • FIG. 4 illustrates an embodiment of an UI for accepting search requests and providing search results.
  • DETAILED DESCRIPTION
  • The invention introduces a system and method for providing documents as search results related to a search request. The search request can include a demographic search query including one or more demographic attributes, or the search request can include a search query of one or more keywords. The documents provided that are related to the search request can be based on the searching habits of registered users of a searching service or a content manager. In the event that the search request is a search query including one or more keywords, demographic attributes of the registered users who access the provided documents can also be provided. The documents in the search results list can be provided in a variety of order preferences including sorting the documents by relevance to a keywords or sorting the documents by the popularity of the documents. Once a first list of documents is originally provided, the list can be subsequently reordered by selecting another order preference.
  • FIG. 1 illustrates an embodiment of a system for implementing the invention. Client 102 may be or include a desktop or laptop computer, a network-enabled cellular telephone (with or without media capturing/playback capabilities), wireless email client, or other client, machine or device to perform various tasks including Web browsing, search, electronic mail (email) and other tasks, applications and functions. Client 102 may additionally be any portable media device such as digital still camera devices, digital video cameras (with or without still image capture functionality), media players such as personal music players and personal video players, and any other portable media device. Client 102 can be used by any user or third-party.
  • Content manager 104, search service 108, and publisher 116 can include a server including, for instance, a workstation running the Microsoft Windows®, MacOS™, Unix, Linux, Xenix, IBM AIX™, Hewlett-Packard UX™, Novell Netware™ Sun Microsystems Solaris™, OS/2™, BeOS™, Mach, Apache, OpenStep™ or other operating system or platform. In an embodiment, the content manager is a contextual advertisement system that is used to manager content and information related to contextual advertisements. In an embodiment, search service the search service is a search engine. As shown in FIG. 1, content manager 104 and search service 108 are separate devices, however, in other embodiments, the content manager and search service can be integrated into one device. In another embodiment, client 102 may also be a server.
  • Client 102 can include a communication interface. The communication interface may be an interface that can allow the client to be directly connected to any other client, server, or device or allows the client 102 to be connected to a client, server, or device over network 106. Network 106 can include, for example, a local area network (LAN), a wide area network (WAN), or the Internet. In an embodiment, the client 102 can be connected to another client, device, or server via a wireless interface.
  • FIG. 2 illustrates an embodiment for creating an index of associated information including metadata from publishers' web pages, user profile data of registered users, and the search history of the registered users. In an embodiment, a publisher 116 (FIG. 1) can be any website that registers with the content manager in order to have advertisements placed on its web pages. In an embodiment, a publisher can register with the content manager by submitting their primary uniform resource locators (URLs) to the content manager. Once the publisher has registered with the content manager, the content manager can activate a crawler that will crawl any documents from the submitted URLs and as well as any documents from URLs linked to the submitted URLs within the publishers' domains. In an embodiment, a document can be a web page. In crawling the documents of the URLs, at operation 202, any metadata, image data, multimedia data, text data, and any other information can be obtained from the corresponding documents. The obtained information can be stored in index 114 (FIG. 1).
  • At operation 204, user profile data and the search history of the registered users can be obtained. In an embodiment, registered users are users who have registered with any properties of the search service 108 or content manager 104 (FIG. 1). When registering with any properties of the search service or content manager, a registered user can provide any type of demographic attributes including, but not limited to, age, gender, country and/or city of residence, occupation, interests, income, etc. Such demographic attributes can be stored and obtained from user profile database 110 (FIG. 1). In another embodiment, user profile database 110 may also be stored in the content manager.
  • The searching service can monitor and track the searching history of registered users through use of a conventional means such as, but not limited to, using cookies. In an embodiment the search history can include the documents accessed by registered users, the search queries used by registered users, as well as the particular method a registered user employed when accessing a document or searching the Internet at any given moment. In an embodiment, accessing a document can include browsing a web page. The search history of registered users can be stored and obtained from search log 112 (FIG. 1).
  • In an embodiment, demographic attributes can also be obtained from a publisher. A publisher, through use of a conventional means such as, but not limited to, using a cookie, can monitor and track the users that have accessed any of its documents. Such users can be users who have registered with the property of the searching service or content manager. In an embodiment, a publisher will be issued a cookie from the content manager, the search service, or any other entity in order to monitor the registered users who access any of its documents. With the cookie, if a registered user accesses a publisher's document, the publisher will be able to attain the demographic attributes of the user. The publisher can then store the demographic attributes of the users who have accessed its documents in user profile database 118 (FIG. 1). The demographic attributes can subsequently be obtained from user profile database 118 at operation 204.
  • At operation 206, the data crawled and obtained from the publishers' submitted URLs, the user profile information, the user search history information, and any other desired information can be associated together and stored in index 114 (FIG. 1). Associating the information in the index can include associating each user's demographic attributes with the search queries they submitted and the documents that they have accessed while on the Internet. In the event that a user accesses documents that have been crawled from a publisher's URL, the user's demographic information can be associated with the crawled information within the index. In an embodiment, only documents from publishers and the search history related to publishers will be associated and stored with the demographic attributes of registered users.
  • FIG. 3 illustrates an embodiment of a method for providing a document and user demographic attributes corresponding to a search request. At operation 302, a search request is received. In an embodiment, the search request is a demographic search query that includes one or more demographic attributes. In another embodiment, the search request includes a search query with one or more keywords. In such an embodiment, the keywords can be non-demographic keywords that are not related to demographic information.
  • At operation 304, the search request is associated with the user demographic attributes and the search history data in the index 114 (FIG. 1) that was created in the method of FIG. 2. In an embodiment wherein the search request is a demographic search query, the demographic attributes of the demographic search query can be compared to the demographic attributes of the registered users stored in the index. In the comparison, registered users with similar demographic attributes to those in the demographic search query can be identified along with the documents that these users have accessed. At step 306, the documents accessed by the identified users are provided.
  • In an embodiment wherein the search request is a search query that includes one or more keywords, the keywords can be compared to search queries stored in index 114 (FIG. 1) that have been submitted by registered users. The keywords can also be compared to the crawled information that was obtained from the publishers' URLs. In the comparison, documents can be identified that are related to the keywords from the search query. For example, in an embodiment in which the documents are web pages, the web pages that are related to the keywords in the received search query can be identified. At operation 306, the identified documents are provided. Additionally, in the embodiment in which the search request is a search query including keywords, demographic attributes associated with the identified documents can also be provided at operation 308. For example, the demographic attributes of the registered users who have accessed the identified documents can be provided. Additionally, the demographic attributes of the registered users who have submitted search queries similar to the keywords in the search request may also be provided.
  • When the identified documents are provided, the documents can be arranged in an ordered list of results. The documents can be arranged in any type of order that is determined by the content manager or the search service. In an embodiment, the identified documents can be arranged in list based on popularity of the documents. For example, in an embodiment in which the documents are web pages, the identified web pages can be provided in an ascending/descending ordered list of popularity. The level of popularity that each web page receives can be based on any type of algorithm that is determined by the content manager, the search service, or any third party. For example, a web page's level of popularity can be based on the number of users that have visited the web page.
  • In another embodiment, if the search request received is a search query including one or more keywords, the identified documents can be arranged in an ascending/descending ordered list of relevance to the keywords. For example, the document that is the most relevant to the keywords can be provided first in the list of results followed by a descending order of search results with respective relevance levels to the keywords. The level of relevance that each document receives can be based on any type of algorithm that can be determined by the content manager or the search service.
  • Once the ordered list of identified documents is provided, at operation 310, the list of documents may be subsequently reordered. In an embodiment, a user interface (UI) is provided to display the list of identified documents to a user. An icon, symbol, hyperlink, switch, or any other trigger mechanism may be provided within the UI that when accessed triggers the UI to display a reordered list of the identified documents based on another order preference. For example, the list of identified documents originally may be provided in an ordered list based on a level of relevance to the keywords within the search query. A user may subsequently access a trigger mechanism that triggers the UI to display a reordered the list of the identified documents based on the popularity of the documents.
  • In an embodiment, a search request can include both a demographic search query and a search query with one or more keywords. For example, a search request including a one or more keywords may be received along with a demographic search query. The search request can provide documents that are both related to the keywords and that are accessed by those registered users with demographic attributes corresponding to the demographic search query. In another embodiment, a demographic search query can be used to refine a search results list of documents related to a search request including keywords, and vice versa. For example, a first search request including keywords can produce a first results list of documents. Subsequently, a second search request including a demographic search query can be received that produces a second results list that filters out those documents from the first results list that have been accessed by registered users with demographic attributes corresponding to the demographic search query.
  • FIG. 4 illustrates an embodiment of an UI 400 for accepting search requests and providing search results. Using input field 402, a user can input any number of keywords as a search request in order to search for corresponding documents. Using input fields 404 and 406, a user can input demographic attributes in order to search for corresponding documents. Input field 404 represents a structured format for inputting demographic attributes. The structured format includes any number of predefined identifiers that a user can select in order to create a demographic search query. Input field 406 represents an unstructured format for inputting demographic attributes. The unstructured format can be configured to allow a user to freely enter any text related to any type of demographic attribute.
  • Trigger mechanism 408 allows a user to toggle between two or more search result ordering preferences. In the example shown in FIG. 4, a user is able to display search results ordered by relevance or by popularity. Trigger mechanism 408 can be accessed by any conventional methods including selecting the mechanism with a mouse cursor. Demographic statistic region 410 can be used to provide any type of demographic statistics corresponding to a document identified in the search results list. The statistic region 410 can include textual information as well as graphical information. The demographic region can be a pop-up window, a side-pane window (left or right), a top-pane window, or a bottom-pane window.
  • While particular embodiments of the invention have been illustrated and described in detail herein, it should be understood that various changes and modifications might be made to the invention without departing from the scope and intent of the invention. The embodiments described herein are intended in all respects to be illustrative rather than restrictive. Alternate embodiments will become apparent to those skilled in the art to which the present invention pertains without departing from its scope.
  • From the foregoing it will be seen that this invention is one well adapted to attain all the ends and objects set forth above, together with other advantages, which are obvious and inherent to the system and method. It will be understood that certain features and sub-combinations are of utility and may be employed without reference to other features and sub-combinations. This is contemplated and within the scope of the appended claims.

Claims (20)

1. A method for identifying webpages associated with demographic attributes of registered users for the placement of advertisements on the webpages by an advertiser, the method comprising:
receiving, from an advertiser, an indication of a demographic attribute useable to identify one or more webpages that have been accessed by a subset of registered users, the registered users in the subset being associated with the demographic attribute;
identifying, via a computing device having a processor, the subset of registered users from a plurality of registered users based on the demographic attribute;
identifying the one or more webpages that have been accessed by the subset of registered users; and
providing an indication of the one or more webpages to the advertiser for placement of an advertisement.
2. The method of claim 1, wherein an indication of each registered user in the plurality of registered users is stored in an index in association with indications of demographic attributes associated with each of the registered users and with indications of webpages accessed by each of the registered users.
3. The method of claim 2, wherein the subset of registered users is identified from the index.
4. The method of claim 2, wherein the one or more webpages is identified from the index.
5. The method of claim 1, wherein the plurality of registered users are registered with one or more of a search service and a content manager.
6. The method of claim 5, wherein the plurality of registered users provide the demographic attribute during registration with the one or more of the search service and content manager.
7. The method of claim 1, wherein the one or more webpages are associated with publishers that are registered with one or more of a search service and a content manager.
8. The method of claim 1, wherein providing the indication of the one or more webpages to the advertiser for placement of an advertisement further comprises:
ordering the one or more webpages based on popularity with the registered users.
9. A method for providing demographic information associated with webpages to an advertiser, the method comprising:
receiving, from an advertiser, a keyword useable to identify demographic attributes associated with a plurality of webpages based on registered users that have accessed the plurality of webpages;
executing, via a computing device having a processor, a search query based on the keyword to identify the plurality of webpages;
identifying the plurality of registered users that have accessed one or more of the plurality of webpages;
obtaining the demographic attributes of the plurality of registered users from an index that stores the demographic attributes of the plurality of registered users in association with indications of the webpages that have been accessed by the plurality of registered users; and
providing an indication of the demographic attributes to the advertiser.
10. The method of claim 9, further comprising:
identifying a second plurality of registered users that have submitted search queries that include a search term that is the same or similar to the keyword;
obtaining demographic attributes of the second plurality of registered users from the index, the index storing the demographic attributes of the second plurality of registered users in association with webpages that have been accessed by the second plurality of registered users; and
providing an indication of the demographic attributes to the advertiser.
11. The method of claim 9, wherein the plurality of registered users are identified from the index.
12. The method of claim 10, wherein the second plurality of registered users are identified from the index.
13. The method of claim 10, wherein one or more of the registered users is in both the plurality of registered users and the second plurality of registered users.
14. A method for identifying webpages that have been accessed by members of a target market of an advertiser for the placement of advertisements on the webpages, the method comprising:
receiving, from an advertiser, a demographic attribute and a keyword that are useable to identify one or more webpages that have been accessed by at least a subset of a plurality of registered users;
determining, via a computing device having a processor, a first subset of the plurality of registered users that have executed a search query that includes the keyword as a search term, the search term being stored in an index in association with demographic attributes of the plurality of registered users and in further association with webpages accessed by the plurality of registered users;
identifying, from the index, a first set of webpages that have been accessed by the first subset of registered users;
determining a second subset of the plurality of registered users that are associated with the demographic attribute, the first and second subsets of registered users being the same or different;
identifying a second set of webpages that have been accessed by the second subset of registered users;
determining a third set of webpages comprising webpages that are in both the first and second sets of webpages; and
providing the third set of webpages to the advertiser for the placement of an advertisement.
15. The method of claim 14, wherein the registered users are registered with one or more of a search service and a content manager.
16. The method of claim 15, wherein the registered users provide one or more demographic attributes during registration with the one or more of the search service and content manager.
17. The method of claim 14, wherein the first, second, and third sets of webpages are associated with publishers that are registered with one or more of a search service and a content manager.
18. The method of claim 14, wherein an indication of one or more additional demographic attributes of registered users that have accessed the third set of webpages is provided with the third set of webpages.
19. The method of claim 14, wherein an indication of a method used by registered users to access the third set of webpages is provided with the third set of webpages.
20. The method of claim 14, further comprising:
receiving an indication of a method used to access the one or more webpages;
determining a fourth set of webpages that includes webpages of the third set that have been accessed by registered users using the indicated method.
US13/310,103 2006-03-20 2011-12-02 Advertising service based on content and user log mining Abandoned US20120078715A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US13/310,103 US20120078715A1 (en) 2006-03-20 2011-12-02 Advertising service based on content and user log mining

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11/378,323 US8122049B2 (en) 2006-03-20 2006-03-20 Advertising service based on content and user log mining
US13/310,103 US20120078715A1 (en) 2006-03-20 2011-12-02 Advertising service based on content and user log mining

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
US11/378,323 Continuation US8122049B2 (en) 2006-03-20 2006-03-20 Advertising service based on content and user log mining

Publications (1)

Publication Number Publication Date
US20120078715A1 true US20120078715A1 (en) 2012-03-29

Family

ID=38519127

Family Applications (2)

Application Number Title Priority Date Filing Date
US11/378,323 Active 2026-07-17 US8122049B2 (en) 2006-03-20 2006-03-20 Advertising service based on content and user log mining
US13/310,103 Abandoned US20120078715A1 (en) 2006-03-20 2011-12-02 Advertising service based on content and user log mining

Family Applications Before (1)

Application Number Title Priority Date Filing Date
US11/378,323 Active 2026-07-17 US8122049B2 (en) 2006-03-20 2006-03-20 Advertising service based on content and user log mining

Country Status (1)

Country Link
US (2) US8122049B2 (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090171948A1 (en) * 2007-12-31 2009-07-02 Peer 39 Inc. Method and a system for selecting advertising spots
US20100125523A1 (en) * 2008-11-18 2010-05-20 Peer 39 Inc. Method and a system for certifying a document for advertisement appropriateness
US10013536B2 (en) * 2007-11-06 2018-07-03 The Mathworks, Inc. License activation and management
US10762151B2 (en) 2016-09-08 2020-09-01 Guangzhou Ucweb Computer Technology Co., Ltd. Method and device for recommending content to browser of terminal device and method and device for displaying content on browser of terminal device

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4395176B2 (en) * 2007-05-10 2010-01-06 インターナショナル・ビジネス・マシーンズ・コーポレーション Future technology trend prediction support apparatus, method, program, and method for providing future technology trend prediction support service
US9596308B2 (en) * 2007-07-25 2017-03-14 Yahoo! Inc. Display of person based information including person notes
US20090100051A1 (en) * 2007-10-10 2009-04-16 Yahoo! Inc. Differentiated treatment of sponsored search results based on search context
US8595209B1 (en) * 2008-01-29 2013-11-26 Boundless Network, Inc. Product idea sharing algorithm
US20110015765A1 (en) * 2009-07-15 2011-01-20 Apple Inc. Controlling an audio and visual experience based on an environment
US8417683B2 (en) * 2010-02-16 2013-04-09 Yahoo ! Inc. System and method for presenting geolocated relevance-based content
US20110282752A1 (en) * 2010-05-13 2011-11-17 Manriquez Gregory J Website Creation Method
WO2013078640A1 (en) * 2011-11-30 2013-06-06 Google Inc. Estimating user demographics
US20130211912A1 (en) * 2012-02-10 2013-08-15 Samsung Electronics Co., Ltd. System, apparatus and method for providing advertisement based on user interest information
US20150073863A1 (en) * 2013-09-10 2015-03-12 Mastercard International Incorporated Method and System for Linking Browsing History to Proprietary Transaction Data
CN110309246A (en) * 2019-05-24 2019-10-08 中国地质调查局发展研究中心 A kind of method and device thereof internet geologic data retrieval and obtained
JP7050830B2 (en) * 2020-01-31 2022-04-08 リーガルテック株式会社 Information processing system

Citations (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5794210A (en) * 1995-12-11 1998-08-11 Cybergold, Inc. Attention brokerage
US5991735A (en) * 1996-04-26 1999-11-23 Be Free, Inc. Computer program apparatus for determining behavioral profile of a computer user
US6353827B1 (en) * 1997-09-04 2002-03-05 British Telecommunications Public Limited Company Methods and/or systems for selecting data sets
US20020072971A1 (en) * 1999-11-22 2002-06-13 Debusk David Targeting electronic advertising placement in accordance with an analysis of user inclination and affinity
US20020099605A1 (en) * 2000-10-06 2002-07-25 Searchcactus, Llc Search engine with demographic-based advertising
US6606657B1 (en) * 1999-06-22 2003-08-12 Comverse, Ltd. System and method for processing and presenting internet usage information
US20050021397A1 (en) * 2003-07-22 2005-01-27 Cui Yingwei Claire Content-targeted advertising using collected user behavior data
US20050234895A1 (en) * 2004-04-14 2005-10-20 Nancy Kramer System and method for a modular user controlled search engine
US20050256766A1 (en) * 2002-05-31 2005-11-17 Garcia Johann S Method and system for targeted internet search engine
US20060020510A1 (en) * 2004-07-20 2006-01-26 Vest Herb D Method for improved targeting of online advertisements
US20060074746A1 (en) * 2004-10-01 2006-04-06 Reachlocal, Inc. Method and apparatus for tracking and reporting campaign status information for a marketing campaign
US20060074883A1 (en) * 2004-10-05 2006-04-06 Microsoft Corporation Systems, methods, and interfaces for providing personalized search and information access
US20060161553A1 (en) * 2005-01-19 2006-07-20 Tiny Engine, Inc. Systems and methods for providing user interaction based profiles
US20060212350A1 (en) * 2005-03-07 2006-09-21 Ellis John R Enhanced online advertising system
US20070208728A1 (en) * 2006-03-03 2007-09-06 Microsoft Corporation Predicting demographic attributes based on online behavior
US20070214045A1 (en) * 2006-01-26 2007-09-13 Contextweb, Inc. System and method for operating a marketplace for internet ad media and for delivering ads according to trades made in that marketplace
US7376714B1 (en) * 2003-04-02 2008-05-20 Gerken David A System and method for selectively acquiring and targeting online advertising based on user IP address
US20100293057A1 (en) * 2003-09-30 2010-11-18 Haveliwala Taher H Targeted advertisements based on user profiles and page profile
US20140025497A1 (en) * 2003-08-05 2014-01-23 Google Inc. System, method and computer program product for presenting directed advertising to a user via a network

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7225182B2 (en) * 1999-05-28 2007-05-29 Overture Services, Inc. Recommending search terms using collaborative filtering and web spidering
US8060416B2 (en) * 2000-07-18 2011-11-15 Yahoo! Inc. Method and system for providing advertising inventory information in response to demographic inquiries
US20060026067A1 (en) * 2002-06-14 2006-02-02 Nicholas Frank C Method and system for providing network based target advertising and encapsulation
US7051020B2 (en) * 2002-06-27 2006-05-23 International Business Machines Corporation Intelligent query re-execution
EP1665093A4 (en) * 2003-08-21 2006-12-06 Idilia Inc System and method for associating documents with contextual advertisements
US11042886B2 (en) * 2003-09-04 2021-06-22 Google Llc Systems and methods for determining user actions
US20050222989A1 (en) * 2003-09-30 2005-10-06 Taher Haveliwala Results based personalization of advertisements in a search engine
US20060195361A1 (en) * 2005-10-01 2006-08-31 Outland Research Location-based demographic profiling system and method of use
US20060178934A1 (en) * 2005-02-07 2006-08-10 Link Experts, Llc Method and system for managing and tracking electronic advertising
US7577665B2 (en) * 2005-09-14 2009-08-18 Jumptap, Inc. User characteristic influenced search results
US20070100690A1 (en) * 2005-11-02 2007-05-03 Daniel Hopkins System and method for providing targeted advertisements in user requested multimedia content

Patent Citations (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5794210A (en) * 1995-12-11 1998-08-11 Cybergold, Inc. Attention brokerage
US5991735A (en) * 1996-04-26 1999-11-23 Be Free, Inc. Computer program apparatus for determining behavioral profile of a computer user
US6353827B1 (en) * 1997-09-04 2002-03-05 British Telecommunications Public Limited Company Methods and/or systems for selecting data sets
US6606657B1 (en) * 1999-06-22 2003-08-12 Comverse, Ltd. System and method for processing and presenting internet usage information
US20020072971A1 (en) * 1999-11-22 2002-06-13 Debusk David Targeting electronic advertising placement in accordance with an analysis of user inclination and affinity
US20020099605A1 (en) * 2000-10-06 2002-07-25 Searchcactus, Llc Search engine with demographic-based advertising
US20050256766A1 (en) * 2002-05-31 2005-11-17 Garcia Johann S Method and system for targeted internet search engine
US7376714B1 (en) * 2003-04-02 2008-05-20 Gerken David A System and method for selectively acquiring and targeting online advertising based on user IP address
US20050021397A1 (en) * 2003-07-22 2005-01-27 Cui Yingwei Claire Content-targeted advertising using collected user behavior data
US20140025497A1 (en) * 2003-08-05 2014-01-23 Google Inc. System, method and computer program product for presenting directed advertising to a user via a network
US20100293057A1 (en) * 2003-09-30 2010-11-18 Haveliwala Taher H Targeted advertisements based on user profiles and page profile
US20050234895A1 (en) * 2004-04-14 2005-10-20 Nancy Kramer System and method for a modular user controlled search engine
US20060020510A1 (en) * 2004-07-20 2006-01-26 Vest Herb D Method for improved targeting of online advertisements
US20060074746A1 (en) * 2004-10-01 2006-04-06 Reachlocal, Inc. Method and apparatus for tracking and reporting campaign status information for a marketing campaign
US20060074883A1 (en) * 2004-10-05 2006-04-06 Microsoft Corporation Systems, methods, and interfaces for providing personalized search and information access
US20060161553A1 (en) * 2005-01-19 2006-07-20 Tiny Engine, Inc. Systems and methods for providing user interaction based profiles
US20060212350A1 (en) * 2005-03-07 2006-09-21 Ellis John R Enhanced online advertising system
US8768766B2 (en) * 2005-03-07 2014-07-01 Turn Inc. Enhanced online advertising system
US20070214045A1 (en) * 2006-01-26 2007-09-13 Contextweb, Inc. System and method for operating a marketplace for internet ad media and for delivering ads according to trades made in that marketplace
US20070208728A1 (en) * 2006-03-03 2007-09-06 Microsoft Corporation Predicting demographic attributes based on online behavior

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10013536B2 (en) * 2007-11-06 2018-07-03 The Mathworks, Inc. License activation and management
US20090171948A1 (en) * 2007-12-31 2009-07-02 Peer 39 Inc. Method and a system for selecting advertising spots
US20100088321A1 (en) * 2007-12-31 2010-04-08 Peer 39 Inc. Method and a system for advertising
US9117219B2 (en) 2007-12-31 2015-08-25 Peer 39 Inc. Method and a system for selecting advertising spots
US20100125523A1 (en) * 2008-11-18 2010-05-20 Peer 39 Inc. Method and a system for certifying a document for advertisement appropriateness
US20100125502A1 (en) * 2008-11-18 2010-05-20 Peer 39 Inc. Method and system for identifying web documents for advertisements
US10346879B2 (en) * 2008-11-18 2019-07-09 Sizmek Technologies, Inc. Method and system for identifying web documents for advertisements
US10762151B2 (en) 2016-09-08 2020-09-01 Guangzhou Ucweb Computer Technology Co., Ltd. Method and device for recommending content to browser of terminal device and method and device for displaying content on browser of terminal device

Also Published As

Publication number Publication date
US20070219955A1 (en) 2007-09-20
US8122049B2 (en) 2012-02-21

Similar Documents

Publication Publication Date Title
US8122049B2 (en) Advertising service based on content and user log mining
US11049138B2 (en) Systems and methods for targeted advertising
US20180322201A1 (en) Interest Keyword Identification
US8768772B2 (en) System and method for selecting advertising in a social bookmarking system
US8768954B2 (en) Relevancy-based domain classification
US10061820B2 (en) Generating a user-specific ranking model on a user electronic device
CN108681604B (en) Navigating to popular search results
JP5572596B2 (en) Personalize the ordering of place content in search results
US9348935B2 (en) Systems and methods for augmenting a keyword of a web page with video content
US10607235B2 (en) Systems and methods for curating content
US8260774B1 (en) Personalization search engine
US8745067B2 (en) Presenting comments from various sources
US10719836B2 (en) Methods and systems for enhancing web content based on a web search query
US9396485B2 (en) Systems and methods for presenting content
KR101518088B1 (en) Syndicating search queries using web advertising
US20090292674A1 (en) Parameterized search context interface
US20090006388A1 (en) Search result ranking
US20120095834A1 (en) Systems and methods for using a behavior history of a user to augment content of a webpage
US20070294615A1 (en) Personalizing a search results page based on search history
US20070067217A1 (en) System and method for selecting advertising
US20080172370A1 (en) Providing virtual really simple syndication (rss) feeds
US20090249229A1 (en) System and method for display of relevant web page images
US20110082850A1 (en) Network resource interaction detection systems and methods
KR20110085995A (en) Providing search results
US20160259817A1 (en) Surfacing actions from social data

Legal Events

Date Code Title Description
AS Assignment

Owner name: MICROSOFT TECHNOLOGY LICENSING, LLC, WASHINGTON

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:MICROSOFT CORPORATION;REEL/FRAME:034544/0541

Effective date: 20141014

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION