SEARCH ADVERTISEMENT SELECTION BASED ON USER ACTIONS

• US 20110258032A1
• Filed: 04/14/2010
• Published: 10/20/2011
• Est. Priority Date: 04/14/2010
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: CHANDRASEKARAN SURENDRAN, ARUNGUNRAM, ALI, MAHBUBUL ALAM, PRASAD, RAJEEV, SRIVASTAVA, ABHINAI, NAJM, TAREK, VADLAMANI, VISWANATH
• Application Number:
  US12/759,879
• Publication Number:
  US 20110258032A1
• Time in Patent Office: Days
• US Class Current: 705/14.42
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0243 Comparative campaigns
• CPC Class Codes: G06Q 30/0256 User search

Abstract

Advertisements are selected for presentation on a search results page based on the presence or absence of user activity within the search results page. When a search results page is provided to an end user, the search results page is tracked for user activity. If user activity is detected, a user context is identified and new advertisements are selected for presentation on the search results page based on the user context. In some embodiments, the search results page provides search results in clusters, and the user context corresponds with a search result cluster selected by an end user. In some embodiments, dominant concepts in the user context are identified and used to select advertisements. Alternatively, if user activity is not detected within a predetermined period of time, new advertisements are selected based on the absence of user activity within the search results page.

Claims

1. One or more computer-readable media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising:

receiving a search query submitted by an end user;

providing a plurality of search results in response to the search query submitted by the end user, wherein the plurality of search results are grouped into a plurality of clusters, each cluster including a different subset of search results;

identifying a user activity corresponding with one of the plurality of clusters, the user activity being indicative of user interest in a selected cluster;

identifying a user context based on the selected cluster; and

selecting one or more advertisements for presentation based on the user context; and

providing the one or more advertisements for presentation to the end user.

2. The one or more computer-readable media of claim 1, wherein the method further includes selecting one or more initial advertisements based on the search query, and wherein the one or more initial advertisements are provided in conjunction with the plurality of search results.

3. The one or more computer-readable media of claim 2, wherein the one or more advertisements are provided by replacing the one or more initial advertisements with the one or more advertisements.

4. The one or more computer-readable media of claim 1, wherein each subset of search results corresponding with each cluster is provided within a separate tab selectable by the end user, and wherein identifying a user activity corresponding with one of the plurality of clusters comprises identifying a user selection of a tab corresponding with the selected cluster.

5. The one or more computer-readable media of claim 1, wherein selecting the one or more advertisements comprises selecting one or more keywords based on the user context and selecting the one or more advertisements based on the one or more keywords.

6. The one or more computer-readable media of claim 5, wherein selecting the one or more keywords comprises:

identifying a plurality of search results within the user context;

identifying a plurality of concepts within text corresponding with the plurality of search results;

analyzing the plurality of concepts using a concept graph to identify one or more dominant concepts; and

selecting the one or more keywords based on the one or more dominant concepts.

7. The one or more computer-readable media of claim 1, wherein providing the plurality of search results grouped into the plurality of clusters comprises performing a semantic query expansion of the search query submitted by the end user to generate a plurality of expanded queries and performing a search using each expanded query, and wherein the user context is identified based on an expanded query corresponding with the selected cluster.

8. The one or more computer-readable media of claim 1, wherein the one or more advertisements are selected based on at least one previous user context in addition to the user context.

9. The one or more computer-readable media of claim 8, wherein selecting the one or more advertisements comprises weighting each of the user context and the at least one previous user context based on at least one selected from the following:

an order in which each user context occurred, and a length of time the end user viewed each user context.

10. One or more computer-readable media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising:

receiving a search query submitted by an end user;

providing a search results page for presentation to the end user in response to the search query submitted by the end user, the search results page including a plurality of search results and an initial advertisement selected based at least in part on the search query submitted by the end user;

tracking the search results page for user activity;

detecting a user action by the end user within the search results page;

responsive to detecting a user action within the search results page, identifying a user context based on the user action;

identifying a set of search results within the user context;

identifying a plurality of concepts within text corresponding with the set of search results within the user context;

analyzing the plurality of concepts using a concept graph to identify one or more dominant concepts;

selecting one or more keywords based on the one more dominant concepts;

selecting a new advertisement based on the one or more keywords; and

replacing the initial advertisement within the search results page with the new advertisement.

11. The one or more computer-readable media of claim 10, wherein the text corresponding with the set of search results comprises at least one selected from the following:

a search result snippet for a search result; and

a document to which a search result references.

12. The one or more computer-readable media of claim 10, wherein analyzing the plurality of concepts using a concept graph to identify one or more dominant concepts comprises identifying a main topic of the user context and identifying the one or more dominant concepts based on strength of relationship in the concept graph between each of the one or more dominant concepts and the main topic of the user context.

13. The one or more computer-readable media of claim 12, wherein the method further comprises generating an expanded graph for at least one dominant concept and ranking a plurality of keywords based on the expanded graph, wherein the one or more keywords are selected based on the rankings for the plurality of keywords.

14. The one or more computer-readable media of claim 10, wherein the method further comprises:

continuing to track the search results page for user activity after replacing the initial advertisement within the search results page with the new advertisement;

detecting a new user action by the end user within the search results page;

responsive to detecting a new user action within the search results page, identifying a new user context based on the new user action;

selecting a second new advertisement based on the new user context; and

replacing the new advertisement within the search results page with the second new advertisement.

15. One or more computer-readable media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising:

receiving a search query submitted by an end user;

providing a search results page in response to the search query, the search results page including a plurality of search results and an initial advertisement;

determining that a predetermined time period has expired without detecting user activity within the search results page;

responsive to determining that the predetermined time period has expired without detecting user activity within the search results page, selecting a new advertisement; and

replacing the initial advertisement within the search results page with the new advertisement.

16. The one or more computer-readable media of claim 15, wherein the initial advertisement was selected from a list of ranked advertisements, and wherein the new advertisement is selected from the list of ranked advertisements.

17. The one or more computer-readable media of claim 15, wherein the initial advertisement is selected based on a current user context within the search results page, and wherein the new advertisement is selected based on a history of user contexts within the search results page.

18. The one or more computer-readable media of claim 17, wherein each user context in the history of user contexts is weighted based on at least one selected from the following:

an order in which each user selection was selected, and a length of time the end user viewed each subset of search results corresponding with each user selection.

19. The one or more computer-readable media of claim 15, wherein the new advertisement is selected using a first algorithm that differs from a second algorithm used to select the initial advertisement.

20. The one or more computer-readable media of claim 15, wherein the initial advertisement is selected using a first subset of one or more keywords selected for a list of ranked keywords and the new advertisement is selected using a second subset of one or more keywords selected from the list of ranked keywords.