SYSTEM AND METHOD FOR MODELING USER SELECTION FEEDBACK IN A SEARCH RESULT PAGE
First Claim
1. A method for improving search relevance for a user search, the method comprising:
- generating a search results page in response to a search request, the search result page including document identifiers for each of a plurality of referenced documents retrieved in response to the search request;
monitoring user selection of one of the document identifiers;
determining a perceived relevance factor for the selected document identifier including prior probability calculations to determine relevance based on a position of the document identifier on the search results page and an inverse of the probability calculations to determine relevance of the identifier and identifier meta data; and
calculating a relevance factor for the selected document identifier based on the perceived relevance factor and a plurality of document attribute based relevant scores.
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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.
81 Citations
24 Claims
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1. A method for improving search relevance for a user search, the method comprising:
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generating a search results page in response to a search request, the search result page including document identifiers for each of a plurality of referenced documents retrieved in response to the search request; monitoring user selection of one of the document identifiers; determining a perceived relevance factor for the selected document identifier including prior probability calculations to determine relevance based on a position of the document identifier on the search results page and an inverse of the probability calculations to determine relevance of the identifier and identifier meta data; and calculating a relevance factor for the selected document identifier based on the perceived relevance factor and a plurality of document attribute based relevant scores. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for improving search relevance for a user search, the system comprising:
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a search database having a plurality of document identifiers for each of a plurality of referenced documents; a processing device operative to, based on executable instructions, generate a search results page in response to a search request, the search results page including the plurality of document identifiers such that the search results page is presented to a user; a user selection monitoring device operative to determine user selection of one of the document identifiers, and the processing device further operative to, based on the executable instructions; determine a perceived relevance factor for the selected document identifier including prior probability calculations to determine relevance based on a position of the document identifier on the search results page and an inverse of the probability calculations to determine relevance of the identifier and identifier meta data; and calculate a relevance factor for the selected document identifier based on the perceived relevance factor and a plurality of document attribute based relevant scores. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A computer readable medium having executable instructions stored thereon such that upon execution of the instructions, a processing device is operative to:
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generate a search results page in response to a search request, the search result page including document identifiers for each of a plurality of referenced documents retrieved in response to the search request; monitor user selection of one of the document identifiers; determine a perceived relevance factor for the selected document identifier including prior probability calculations to determine relevance based on a position of the document identifier on the search results page and an inverse of the probability calculations to determine relevance of the identifier and identifier meta data; and calculate a relevance factor for the selected document identifier based on the perceived relevance factor and a plurality of document attribute based relevant scores. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24)
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Specification