System and method for user rank search

• US 20050256848A1
• Filed: 05/13/2004
• Published: 11/17/2005
• Est. Priority Date: 05/13/2004
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Vergo, John George, Karat, John, Cofino, Thomas A., Wolf, Catherine Gody, Alpert, Sherman Robert
• Application Number:
  US10/844,996
• Publication Number:
  US 20050256848A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06F 16/9538 Presentation of query results

Abstract

A method and apparatus are disclosed for ranking the results of a document search by identifying a prior, similar search and assigning a weight to each document based on whether the document was selected by a user of the prior search. The assigned weights are utilized to rank the documents identified by the document search in order of their relevance to the search terms. The search terms of the document search and information describing the selections made by a user of the document search are then stored to facilitate the assignment of weights to documents in future searches. According to another aspect of the invention, the weight assigned to a document is correlated to a degree of closeness of search terms of a prior search and search terms of a new document search. For example, a degree of closeness measurement is defined that correlates to a number of synonyms common between the search terms of a prior search and the search terms of a new document search.

Claims

1. A method for processing a document identified by a document search, comprising the steps of:

identifying a prior search having search terms that are sufficiently similar to search terms of said document search; and

assigning a weight to said document based on whether said document was selected by a user of said prior search.

2. The method of claim 1, wherein said assigned weight is based on an order of selection of two or more documents by said user.

3. The method of claim 1, wherein said assigned weight is utilized to rank said document identified by said document search.

4. The method of claim 1, wherein a final selection is assigned more weight than a non-final selection.

5. The method of claim 1, wherein a document entry in position n of a hitlist is assigned more weight than a document entry in position k of said hitlist if said document entry in position n is selected before said document entry in position k.

6. The method of claim 1, wherein said weight assigned to said document is correlated to a position of said document in a hitlist.

7. The method of claim 1, wherein said weight assigned to said document is correlated to a number of a page, wherein an entry identifying said document appears on said page.

8. The method of claim 1, wherein said weight assigned to said document is correlated to a degree of closeness of said search terms of said prior search and said search terms of said document search.

9. The method of claim 8, wherein a degree of closeness measurement correlates to a number of synonyms common between said search terms of said prior search and said search terms of said document search.

10. The method of claim 1, wherein a document selected by an expert is assigned more weight than a document entry selected by a non-expert.

11. The method of claim 1, wherein a weight assigned to said document is correlated to a ratio of the number of times said document was selected in a prior search and a number of prior search result hitlists, wherein said prior search result hitlists contain an entry identifying said document.

12. The method of claim 1, wherein a document corresponding to a non-final selection is assigned less weight than a document that is not selected by a user.

13. The method of claim 1, further comprising the step of storing said search terms of said document search and information describing selections by a user of said document search.

14. The method of claim 1, further comprising the step of storing said search terms of said document search and an ordered list of documents based on whether said documents were selected by a user.

15. An apparatus for processing a document identified by a document search, comprising:

a memory; and

at least one processor, coupled to the memory, operative to;

identify a prior search having search terms that are similar to search terms of said document search; and

assign a weight to said document based on whether said document was selected by a user of said prior search.

16. The apparatus of claim 15, wherein said assigned weight is based on an order of selection of two or more documents by said user.

17. The apparatus of claim 15, wherein said assigned weight is utilized to rank said document identified by said document search.

18. The apparatus of claim 15, wherein a final selection is assigned more weight than a non-final selection.

19. The apparatus of claim 15, wherein a document entry in position n of a hitlist is assigned more weight than a document entry in position k of said hitlist if said document entry in position n is selected before said document entry in position k.

20. The apparatus of claim 15, wherein said weight assigned to said document is correlated to a position of said document in a hitlist.

21. The apparatus of claim 15, wherein said weight assigned to said document is correlated to a number of a page, wherein an entry identifying said document appears on said page.

22. The apparatus of claim 15, wherein said weight assigned to said document is correlated to a degree of closeness of said search terms of said prior search and said search terms of said document search.

23. The apparatus claim 22, wherein a degree of closeness measurement correlates to a number of synonyms common between said search terms of said prior search and said search terms of said document search.

24. The apparatus of claim 15, wherein a document selected by an expert is assigned more weight than a document entry selected by a non-expert.

25. The apparatus of claim 15, wherein a weight assigned to said document is correlated to a ratio of the number of times said document was selected in a prior search and a number of prior search result hitlists, wherein said prior search result hitlists contain an entry identifying said document.

26. The apparatus of claim 15, wherein a document corresponding to a non-final selection is assigned less weight than a document that is not selected by a user.

27. The apparatus of claim 15, wherein said processor is further configured to store said search terms of said document search and information describing selections by a user of said document search.

28. The apparatus of claim 15, further comprising the step of storing said search terms of said document search and an ordered list of documents based on whether said documents were selected by a user.

29. An article of manufacture for processing a document identified by a document search, comprising a machine readable medium containing one or more programs which when executed implement the steps of:

identifying a prior search having search terms that are similar to search terms of said document search; and

assigning a weight to said document based on whether said document was selected by a user of said prior search.

30. The article of manufacture of claim 29, wherein said assigned weight is based on an order of selection of two or more documents by said user.

31. The article of manufacture of claim 29, wherein said assigned weight is utilized to rank said document identified by said document search.

32. The article of manufacture of claim 29, wherein said one or more programs which when executed further implement the step of storing said search terms of said document search and information describing selections by a user of said document search.

33. A method for processing a plurality of documents identified by a document search, comprising the steps of:

storing search terms of said document search; and

storing an ordered list of a plurality of said documents identified by said document search, where an order of said list is based on one or more user selections of said documents identified by said document search.