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Li et al., 2012 - Google Patents

A feature-free search query classification approach using semantic distance

Li et al., 2012

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Document ID
1947580152620938299
Author
Li L
Zhong L
Xu G
Kitsuregawa M
Publication year
Publication venue
Expert Systems with Applications

External Links

Snippet

When classifying search queries into a set of target categories, machine learning based conventional approaches usually make use of external sources of information to obtain additional features for search queries and training data for target categories. Unfortunately …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

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    • 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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    • G06Q10/00—Administration; Management
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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