Google Inc.

Vrishali Wagle

Ramanathan V Guha

Patrick F Riley

Paul Richard Komarek

A system embodiment receives a query from the user. The query is processed by a search infrastructure which may return a set of results. Results may then be estimated for quality by a quality estimator. The quality estimator may determine an initial quality estimation of the search result(s). A query re-issuer generates re-issued query information based on the initial quality estimation of the search result(s) for the initial query. A query modifier then receives the re-issued query information and generates a modified re-issued query in accordance with the query re-issue information. A method embodiment modifies and re-issues a query to the search infrastructure. The method includes determining an initial quality estimation of the search result, generating re-issued query information based on at least an initial quality estimation of the search result for the initial query, receiving the re-issued query information and generating a modified re-issued query.

System and method for query re-issue in search engines

A system embodiment receives a query from the user. The query is processed by a search infrastructure which may return a set of results. Results may then be estimated for quality by a quality estimator. The quality estimator may determine an initial quality estimation of the search result(s). A query re-issuer generates re-issued query information based on the initial quality estimation of the search result(s) for the initial query. A query modifier then receives the re-issued query information and generates a modified re-issued query in accordance with the query re-issue information. A method embodiment modifies and re-issues a query to the search infrastructure. The method includes determining an initial quality estimation of the search result, generating re-issued query information based on at least an initial quality estimation of the search result for the initial query, receiving the re-issued query information and generating a modified re-issued query in accordance with the re-issued query information.

In an embodiment, the size of a filter in a search engine is dynamically adjusted in order to reduce filter error. The filter, for example, may be a domain filter that contains domain(s) of preferred search results. A search engine processes the query and the domain filter to create a set of search results that are relevant to the query terms and for which a selected portion of the search results satisfy the domain filter, in that such portion of the documents come from domains in the filter. The search results may then be provided to the user, as a set of search results that are relevant to the query terms and which include some portion of results that match the query labels. The construction of the domain filter may be done with a Bloom filter approach, using domain prefixes from annotations.

Filtering in search engines

In an embodiment, the size of a filter in a search engine is dynamically adjusted in order to reduce filter error. The filter, for example, may be a domain filter that contains domain(s) of preferred search results. A search engine processes the query and the domain filter to create a set of search results that are relevant to the query terms and for which a selected portion of the search results satisfy the domain filter, in that such portion of the documents comes from domains in the filter. The search results may then be provided to the user, as a set of search results that are relevant to the query terms and which include some portion of results that match the query labels. The construction of the domain filter may be done with a Bloom filter approach, using domain prefixes from annotations.

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Sunnyvale, CA, United States of America

Vrishali Wagle