Systems and methods that employ a distributional analysis on a query log to improve search results
US7617202B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 16, 2003 |
| Grant date | Nov 10, 2009 |
| Priority date | — |
| Expiry date | Sep 16, 2024 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99935
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides systems and methods that employ a statistical distributional analysis to improve content search engine search results. In particular, a substring and/or a string sequence distributional algorithm can be applied to a set of queries to generate a distributional characteristic (e.g., a profile) for the set of queries, wherein the set is selected from a plurality of queries stored on a query log. Typically, the queries are selected based on a substring of interest and/or an identification of a user initiating searches. The distributional characteristic can then be employed to determine a distributional similarity measure that can be utilized in connection with a search to facilitate search results via providing a mechanism to determine synonymous search terms, spelling corrections/variations, and facilitate collaborative filtering, for example. Thus, the present invention employs a novel technique that mines and employs previous queries to enhance the query search results.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.