Utilization of features extracted from structured documents to improve search relevance

Features automatically extracted from semi-structured web pages are utilized by a search engine to rank documents that include semi-structured web pages. These features include, but are not limited to, a number of reviews, a number of positive reviews, and/or a number of negative reviews from a web...

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Hauptverfasser: NAGARALU SREE HARI, DAS ANJANA, MITRA BHASKAR, MEHTA RUPESH RASIKLAL
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Sprache:chi ; eng
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creator NAGARALU SREE HARI
DAS ANJANA
MITRA BHASKAR
MEHTA RUPESH RASIKLAL
description Features automatically extracted from semi-structured web pages are utilized by a search engine to rank documents that include semi-structured web pages. These features include, but are not limited to, a number of reviews, a number of positive reviews, and/or a number of negative reviews from a web page that includes user reviews. These features also include a number of views of a video that is viewable by way of a semi-structured web page. The features also include a number of subscribers to broadcasts of an individual from a social networking web page and a number of contacts of an individual listed on a social networking web page.
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Utilization of features extracted from structured documents to improve search relevance
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