COLLABORATIVE SEARCH ENGINE SYSTEM

• US 20100235354A1
• Filed: 03/12/2009
• Published: 09/16/2010
• Est. Priority Date: 03/12/2009
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Orestano, Andrea, Gargaro, Gianluca
• Application Number:
  US12/402,892
• Publication Number:
  US 20100235354A1
• Time in Patent Office: Days
• US Class Current: 707/725
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

An apparatus and method for implementing a collaborative search engine. A plurality of search tags associated with one or more search terms received from a client device associated with a user of a collaborative search engine are determined. A plurality of users of the collaborative search engine that are associated with information relevant to one or more of the search tags are identified. A time reference associated with the information associated with each of the users is determined. Search results are generated ranking the relevance of each of the plurality of users with respect to the search tags based, at least in part, on the relevance of the information associated with each of the users and the time reference associated with the information.

Claims

1. A method comprising:

determining a plurality of search tags associated with one or more search terms received from a client device associated with a user of a collaborative search engine;

identifying a plurality of users of the collaborative search engine that are associated with information relevant to one or more of the search tags;

determining a time reference associated with the information associated with each of the users; and

generating search results ranking a relevance of each of the plurality of users with respect to the search tags based, at least in part, on a relevance of the information associated with each of the users and the time reference associated with the information.

2. The method of claim 1, further comprising determining the relevance of the information associated with each of the users based, at least in part, on a number of search tags associated with the information and relevance weights assigned to the search tags.

3. The method of claim 2, further comprising providing the client device the search results, the search tags associated with the received search terms, and the relevance weights assigned to the search tags.

4. The method of claim 3, further comprising:

receiving updated relevance weights from the client device modifying the relevance weights of at least a subset of the search tags;

generating new search results based, at least in part, on the updated relevance weights; and

providing the new search results to the client device associated with the user of the collaborative search engine.

5. The method of claim 2, further comprising assigning default relevance weights to each of the search tags, wherein said assigning default relevance weights comprises assigning equal relevance weights to each of the search tags.

6. The method of claim 1, wherein said determining a plurality of search tags associated with one or more search terms comprises determining one or more search tags that match the one or more search terms.

7. The method of claim 6, further comprising determining one or more additional search tags that are related to the one or more search terms.

8. The method of claim 1, further comprising:

determining instant messaging contact information associated with the plurality of users included in the search results; and

providing the search results and the instant messaging contact information associated with the plurality of users to the client device.

9. A method comprising:

determining a plurality of search tags associated with one or more search terms received from a client device associated with a user of a collaborative search engine;

identifying a plurality of users of the collaborative search engine that are associated with information relevant to one or more of the search tags;

determining a relevance of the information associated with each of the users based, at least in part, on relevance weights associated with the search tags;

determining a time reference associated with the information associated with each of the users;

generating search results ranking a relevance of each of the plurality of users with respect to the search tags based, at least in part, on the relevance of the information associated with each of the users and the time reference associated with the information;

determining instant messaging contact information associated with the plurality of users included in the search results; and

providing the search results and the instant messaging contact information associated with the plurality of users to the client device.

10. The method of claim 9, wherein said determining a relevance of the information comprises determining a relevance of the information associated with each of the users based, at least in part, on a number of search tags associated with the information and relevance weights associated with the search tags.

11. The method of claim 10, further comprising providing the client device the search results, the search tags associated with the received search terms, and the relevance weights associated with the search tags.

12. The method of claim 11, further comprising:

receiving updated relevance weights from the client device modifying the relevance weights of at least a subset of the search tags;

generating new search results based, at least in part, on the updated relevance weights; and

providing the new search results to the client device associated with the user of the collaborative search engine.

13. One or more machine-readable media having stored therein a program product, which when executed a set of one or more processor units causes the set of one or more processor units to perform operations that comprise:

determining a plurality of search tags associated with one or more search terms received from a client device associated with a user of a collaborative search engine;

identifying a plurality of users of the collaborative search engine that are associated with information relevant to one or more of the search tags;

determining a time reference associated with the information relevant to one or more of the search tags; and

generating search results ranking a relevance of each of the plurality of users with respect to the search tags based, at least in part, on a relevance of the information associated with each of the users and the time reference associated with the information.

14. The machine-readable media of claim 13, wherein the operations further comprise determining the relevance of the information associated with each of the users based, at least in part, on a number of search tags associated with the information and relevance weights assigned to the search tags.

15. The machine-readable media of claim 14, wherein the operations further comprise providing the client device the search results, the search tags associated with the received search terms, and the relevance weights assigned to the search tags.

16. The machine-readable media of claim 15, wherein the operations further comprise:

receiving updated relevance weights from the client device modifying the relevance weights of at least a subset of the search tags;

generating new search results based, at least in part, on the updated relevance weights; and

providing the new search results to the client device associated with the user of the collaborative search engine.

17. An apparatus comprising:

a set of one or more processing units;

a network interface; and

a collaborative search engine unit operable to,

determine a plurality of search tags associated with one or more search terms received from a client device associated with a user of a collaborative search engine;

identify a plurality of users of the collaborative search engine that are associated with information relevant to one or more of the search tags;

determine a time reference associated with the information relevant to one or more of the search tags; and

generate search results ranking a relevance of each of the plurality of users with respect to the search tags based, at least in part, on a relevance of the information associated with each of the users and the time reference associated with the information.

18. The apparatus of claim 17, wherein the collaborative search engine unit is further operable to determine the relevance of the information associated with each of the users based, at least in part, on a number of search tags associated with the information and relevance weights assigned to the search tags.

19. The apparatus of claim 18, wherein the collaborative search engine unit is further operable to provide the client device the search results, the search tags associated with the received search terms, and the relevance weights assigned to the search tags.

20. The apparatus of claim 19, wherein the collaborative search engine unit is further operable to:

receive updated relevance weights from the client device modifying the relevance weights of at least a subset of the search tags;

generate new search results based, at least in part, on the updated relevance weights; and

provide the new search results to the client device associated with the user of the collaborative search engine.