Determining and using search term weightings

• US 20110314005A1
• Filed: 06/16/2011
• Published: 12/22/2011
• Est. Priority Date: 06/18/2010
• Status: Abandoned Application

• Current Assignee: Alibaba Group Holding Ltd.
• Original Assignee: Alibaba Group Holding Ltd.
• Inventors: Guo, Xiang
• Application Number:
  US13/134,825
• Publication Number:
  US 20110314005A1
• Time in Patent Office: Days
• US Class Current: 707/723
• CPC Class Codes: G06F 16/313 Selection or weighting of terms for indexing

Abstract

Determining search term weightings is disclosed, including: storing, in a search information log, a search query and corresponding information; generating a category distribution word list based at least in part on one or more stored search information logs; processing the category distribution word list based at least in part on a retrieved attribute word list; and determining a weighting corresponding to a search term associated with the processed category distribution word list. Using search term weighting is disclosed, including: receiving a subsequent search query; retrieving search term weightings corresponding to one or more search terms associated with the subsequent search query; searching indexed information using the one or more search terms associated with the subsequent search query; and ranking and presenting the indexed information corresponding to the one or more search terms based at least in part on the retrieved search term weightings.

Claims

1. A method of facilitating search, comprising:

storing, in a search information log, a search query and corresponding information;

generating a category distribution word list based at least in part on one or more stored search information logs;

processing the category distribution word list based at least in part on a retrieved attribute word list; and

determining a weighting corresponding to a search term associated with the processed category distribution word list.

2. The method of claim 1, further comprising storing the determined weighting corresponding to the search term associated with the processed category distribution word list.

3. The method of claim 2, further comprising:

receiving a subsequent search query;

retrieving search term weightings corresponding to one or more search terms associated with the subsequent search query;

searching indexed information using the one or more search terms associated with the subsequent search query; and

ranking and presenting the indexed information corresponding to the one or more search terms based at least in part on the retrieved search term weightings.

4. The method of claim 3, further comprising parsing the subsequent search query into one or more search terms.

5. The method of claim 1, wherein the corresponding information to the search query includes one or more of the following:

one or more search terms, one or more selections associated with search results returned in response to the search query, and one or more search categories corresponding to the one or more search terms.

6. The method of claim 1, wherein an entry associated with the category distribution word list includes a search term, corresponding one or more search categories and search probabilities corresponding to the one or more search categories.

7. The method of claim 1, wherein the retrieved attribute word list includes information on one or more products sold at an associated electronic commerce website.

8. The method of claim 1, wherein processing the category distribution word list based at least in part on a retrieved attribute word list includes determining whether a search term associated with the category distribution word list is found on the attribute word list;

in the event that the search term is found on the attribute word list, determining whether a search probability associated with the search term exceeds a predetermined threshold probability, in the event that the search probability does not exceed the predetermined threshold probability, filtering out the associated search term; and

in the event that the search term is not found on the attribute word list, equalizing the search term with respect to all search categories associated with the search term.

9. The method of claim 1, wherein determining a weighting corresponding to a search term includes calculating an entropy value associated with the search term based at least in part on one or more probabilities corresponding to one or more search categories corresponding to the search term.

10. The method of claim 9, further comprising classifying the search term associated with the category distribution word list into a type and adjusting the weighting corresponding to the search term based at least in part on the classified type of the search term.

11. The method of claim 3, wherein ranking and presenting the indexed information includes giving a higher ranking to a first search term that corresponds to a higher weighting than a second search term that corresponds to a lower weighting.

12. A system, comprising:

a processor configured to;

store, in a search information log, a search query and corresponding information,

generate a category distribution word list based at least in part on one or more stored search information logs,

process the category distribution word list based at least in part on a retrieved attribute word list, and

determine a weighting corresponding to a search term associated with the processed category distribution word list; and

a memory coupled to the processor and configured to provide the processor with instructions.

13. The system of claim 12, wherein the processor is further configured to store the determined weighting corresponding to the search term associated with the processed category distribution word list.

14. The system of claim 13, wherein the processor is further configured to:

receive a subsequent search query;

retrieve search term weightings corresponding to one or more search terms associated with the subsequent search query;

search indexed information using the one or more search terms associated with the subsequent search query; and

rank and present the indexed information corresponding to the one or more search terms based at least in part on the retrieved search term weightings.

15. The system of claim 14, wherein the processor is further configured to parse the subsequent search query into one or more search terms.

16. The system of claim 12, wherein the corresponding information to the search query includes one or more of the following:

one or more search terms, one or more selections associated with search results returned in response to the search query, and one or more search categories corresponding to the one or more search terms.

17. The system of claim 12, wherein an entry associated with the category distribution word list includes a search term, corresponding one or more search categories and search probabilities corresponding to the one or more search categories.

18. The system of claim 12, wherein the retrieved attribute word list includes information on one or more products sold at an associated electronic commerce website.

19. The system of claim 12, wherein to process the category distribution word list based at least in part on a retrieved attribute word list includes the processor configured to determine whether a search term associated with the category distribution word list is found on the attribute word list;

in the event that the search term is found on the attribute word list, determine whether a search probability associated with the search term exceeds a predetermined threshold probability, in the event that the search probability does not exceed the predetermined threshold probability, filter out the associated search term; and

in the event that the search term is not found on the attribute word list, equalize the search term with respect to all search categories associated with the search term.

20. The system of claim 12, wherein to determine a weighting corresponding to a search term includes the processor configured to calculate an entropy value associated with the search term based at least in part on one or more probabilities corresponding to one or more search categories corresponding to the search term.

21. The system of claim 20, wherein the processor is further configured to classify the search term associated with the category distribution word list into a type and adjust the weighting corresponding to the search term based at least in part on the classified type of the search term.

22. The system of claim 14, wherein to rank and present the indexed information includes the is processor configured to give a higher ranking to a first search term that corresponds to a higher weighting than a second search term that corresponds to a lower weighting.

23. A computer program product, the computer program product being embodied in a computer readable storage medium and comprising computer instructions for:

storing, in a search information log, a search query and corresponding information;

generating a category distribution word list based at least in part on one or more stored search information logs;

processing the category distribution word list based at least in part on a retrieved attribute word list; and

determining a weighting corresponding to a search term associated with the processed category distribution word list.