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Veningston et al., 2015 - Google Patents

Semantic association ranking schemes for information retrieval applications using term association graph representation

Veningston et al., 2015

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Document ID
9143469885468983180
Author
Veningston K
Shanmugalakshmi R
Nirmala V
Publication year
Publication venue
Sadhana

External Links

Snippet

Abstract Most of the Information Retrieval (IR) techniques are based on representing the documents using the traditional vector space and probabilistic language model ie, bag-of- words model. In this paper, associations among words in the documents are assessed and it …
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Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • 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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    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
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