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A Context Model For Focused Web Search
Author(s) -
Sachin Kumar,
Naresh Chauhan
Publication year - 2012
Publication title -
international journal of computer and technology
Language(s) - English
Resource type - Journals
ISSN - 2277-3061
DOI - 10.24297/ijct.v2i3c.2715
Subject(s) - computer science , information retrieval , web search query , semantic search , search engine , world wide web , web query classification , search analytics , set (abstract data type) , context (archaeology) , web page , result set , query expansion , paleontology , biology , programming language
In the existing web search systems, the information retrieval isperformed using a single query and mapping it to a set ofdocuments. From a single query, however, the search systemscan only have very limited clue about the user‟s informationneed. The user‟s context and his environment are ignored whilesearching the information resulting in irrelevant search results.These irrelevant search results increase the cognitive overheadof the user in filtering them out and finding useful information.Therefore, the search systems must incorporate contextinformation regarding user and his environment search thehighly relevant web pages. This paper prepares an Entity-Centric model for the context and proposes a framework forcontext-aware focused web search system that considers thevarious context features and returns highly relevant searchresults to the user.

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