System and method for modeling user selection feedback in a...

Details System and method for modeling user selection feedback in a... System and method for modeling user selection feedback in a...

2007-04-10

2010-11-02

To, Baoquoc N (Department: 2162)

Data processing: database and file management or data structures

Database and file access

Preparing data for information retrieval

C707S750000

Reexamination Certificate

active

07827184

ABSTRACT:
The present invention provides for improving the search relevance of a search results page by including a perceived relevance factor. The system, device and method monitors user selection of elements in the search results page, where these selections indicate relevance of the element compared with the original search request. A perceived relevance factor for the element is then determined based on probabilistic-based computations accounting for the element, which may include a description, a thumbnail and/or meta data, and the position of the element on the search results page. Thereby, for future searches and search results page generation, relevance factors may be calculated based on various factors, including the element attribute based relevant scores and the perceived relevance factor.

REFERENCES:
patent: 2009/0030876 (2009-01-01), Hamilton

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