Method and System for Providing Content According to Personal Preference

• US 20090043781A1
• Filed: 10/17/2007
• Published: 02/12/2009
• Est. Priority Date: 08/10/2007
• Status: Active Grant

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Lee, Ho Yun, Roh, Daniel Jim, Kim, Jin Soo
• Granted Patent: US 8,595,226 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

In one embodiment of the present invention, a main server receives a content request identifying a content category from a client and identifies the client sending the request from the content request. Then, the content category from the content request is identified. The main server determines if the content category is included in a preference tag of the identified client. The preference tag comprises a plurality of hierarchical category identifiers selected from a hierarchical configuration of category identifiers. If the content category is included in the preference tag associated with the identified client, then personalized content according to the preference tag of the identified client is provided. Thus, a method and system for providing content according to personal preference are provided.

Claims

1. A method of providing a personalized content in a content providing server, comprising:

receiving, from a client, a content request identifying a content category;

identifying the client associated with the content request;

identifying the content category from the content request;

determining if the content category is included in a preference tag associated with the identified client, wherein the preference tag comprises a plurality of hierarchical category identifiers selected from a hierarchical configuration of category identifiers; and

if the content category is included in the preference tag associated with the identified client, providing personalized content in accordance with the preference tag of the identified client.

2. The method of claim 1, wherein the step of determining if the content category is included in the preference tag associated with the identified client includes the step of determining if the content category is included in at least one preference tag associated with the identified client;

and the step of providing the personalized content in accordance with the preference tag of the identified client includes the step of providing the personalized content in accordance with the preference tag that is included in the content category of the identified client.

3. The method of claim 2, wherein the step of providing the personalized content in accordance with the preference tag that is included in the content category of the identified client includes the step of providing the personalized content in accordance with a preference score of the preference tag;

and

wherein the preference score of the preference tag is associated with the frequency of accessing of the client to content objects of which content category is included in the preference tag.

4. The method of claim 3, wherein the step of providing the personalized content in accordance with the preference tag that is included in the content category of the identified client further comprises the step of selecting at least one preference tag among the preference tags that include the content category based on the respective preference score.

5. The method of claim 3, wherein the step of providing the personalized content in accordance with the preference tag that is included in the content category of the identified client further comprises the step of controlling the amount of personalized content in accordance With the preference score of the preference tag.

6. The method of claim 2, wherein the step of providing the personalized content in accordance with the preference tag that is included in the content category of the identified client includes the step of providing the personalized content in accordance with the preference tag having the same tag level.

7. The method of claim 3, further comprising the step of updating the preference tag and the respective preference score.

8. A method of setting a tag to a content object comprising:

extracting a series of categories that the content object belongs to by analyzing the content object;

forming the tag by ordering the categories hierarchically; and

setting the formed tag to the content object.

9. A method of setting a preference tag of a client among tags of content comprising:

determining a preference score of the tag associated with the frequency of accessing of the client to content objects having each of the tags; and

selecting at least one preference tag based on the reference scores.

10. The method of claim 9, wherein the tag includes at least one category to classify the respective content object.

11. The method of claim 10, wherein the step of determining the preference score includes the step of calculating the preference score using the following equation:

$\underset{e}{\sum <br><br>}<br><br>\underset{i}{\sum <br><br>}<br><br>d<br><br>\left(i\right)\times <br><br>\mathrm{DailySum}<br><br>\left(n-i,e\right)\times <br><br>\mathrm{cw}<br><br>\left(e\right),$

wherein DailySum(n-i, e) is a daily score function for event e on the (n-i)th day, d(i) is a decay function and cw(e) is a category weight function.

12. A system for providing content to clients comprising:

a content storage module for storing content;

a client profile storage module for storing preference tags per client; and

a control module for, if the content category received from the client is included in the preference tag, providing personalized content in accordance with the preference tag that includes the content category.

13. The system according to claim 12, further comprising a tag setting module for setting a tag to a content object that is stored in the content storage module.

14. The system according to claim 12, further comprising

a client content consumption history storage module for storing history of content objects having a corresponding tag that a client has accessed;

and

a client preference calculating module for determining the frequent of accessing of the client to content objects having each of tags using the history and calculating a preference score of the respective tag based on the frequencies.

15. The system according to claim 12, further comprising a means for performing collaborative filtering.

16. Logic encoded in one or more tangible media for execution and when executed operable to cause the one or more processors to:

receive, from a client, a content request identifying a content category;

identify the client associated with the content request;

identify the content category from the content request;

determine if the content category is included in a preference tag associated with the identified client, wherein the preference tag comprises a plurality of hierarchical category identifiers selected from a hierarchical configuration of category identifiers; and

if the content category is included in the preference tag associated with the identified client, provide personalized content in accordance with the preference tag of the identified client.

17. The logic of claim 16, wherein the step of determine if the content category is included in the preference tag associated with the identified client further include the logic causing the one or more processors to determine if the content category is included in at least one preference tag associated with the identified client;

and the step of provide the personalized content in accordance with the preference tag of the identified client further includes the logic causing the one or more processors to provide the personalized content in accordance with the preference tag that is included in the content category of the identified client.

18. The logic of claim 17, wherein the step of provide the personalized content in accordance with the preference tag that is included in the content category of the identified client further includes the logic causing the one or more processors to provide the personalized content in accordance with a preference score of the preference tag;

and

wherein the preference score of the preference tag is associated with the frequency of accessing of the client to content objects of which content category is included in the preference tag.

19. The logic of claim 18, wherein the step of provide the personalized content in accordance with the preference tag that is included in the content category of the identified client further comprises the logic causing the one or more processors to select at least one preference tag among the preference tags that include the content category based on the respective preference score.

20. The logic of claim 18, wherein the step of provide the personalized content in accordance with the preference tag that is included in the content category of the identified client further comprises the logic causing the one or more processors to control the amount of personalized content in accordance with the preference score of the preference tag.

21. The logic of claim 17, wherein the step of provide the personalized content in accordance with the preference tag that is included in the content category of the identified client includes the logic causing the one or more processors to provide the personalized content in accordance with the preference tag having the same tag level.

22. The logic of claim 18, further comprising the logic causing the one or more processors to update the preference tag and the respective preference score.

23. Logic encoded in one or more tangible media for execution and when executed operable to cause the one or more processors to:

extract a series of categories that the content object belongs to by analyzing the content object;

form the tag by ordering the categories hierarchically; and

setting the formed tag to the content object.

24. Logic encoded in one or more tangible media for execution and when executed operable to cause the one or more processors to:

determine a preference score of the tag associated with the frequency of accessing of the client to content objects having each of the tags; and

select at least one preference tag based on the reference scores.

25. The logic of claim 24, wherein the tag includes at least one category to classify the respective content object.

26. The logic of claim 25, wherein the step of determine the preference score includes the logic causing the one or more processors to calculate the preference score using the following equation:

$\underset{e}{\sum <br><br>}<br><br>\underset{i}{\sum <br><br>}<br><br>d<br><br>\left(i\right)\times <br><br>\mathrm{DailySum}<br><br><br><br>\left(n-i,e\right)\times <br><br>\mathrm{cw}<br><br>\left(e\right),$

wherein DailySum(n-i, e) is a daily score function for event e on the (n-i)th day, d(i) is a decay function and cw(e) is a category weight function.