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Jeon et al., 2006 - Google Patents

A framework to predict the quality of answers with non-textual features

Jeon et al., 2006

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Document ID
9489407383132720180
Author
Jeon J
Croft W
Lee J
Park S
Publication year
Publication venue
Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval

External Links

Snippet

New types of document collections are being developed by various web services. The service providers keep track of non-textual features such as click counts. In this paper, we present a framework to use non-textual features to predict the quality of documents. We also …
Continue reading at ciir.cs.umass.edu (PDF) (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
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    • G06F17/30675—Query execution
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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