Text based Semantic information predictions using user behavior
International Journal of Engineering Trends and Technology (IJETT) | |
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© 2017 by IJETT Journal | ||
Volume-45 Number-10 |
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Year of Publication : 2017 | ||
Authors : Sonali Pawar |
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DOI : 10.14445/22315381/IJETT-V45P298 |
Citation
Sonali Pawar "Text based Semantic information predictions using user behavior", International Journal of Engineering Trends and Technology (IJETT), V45(10),521-523 March 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
For Searching and managing online growth of
information is becoming a difficult task. The major
challenge is to improve users search experience. The
current technique that is involved in Content
description and query processing in Information
Retrieval (IR) are based on keywords. I am therefore
trying to improve the quality of search results. In this
paper I am trying to optimize the search engines
results. Mostly used search engines are Google, Yahoo
and Bing. Thus the query q is provided as an input to
search engine followed by retrieving relevant ddocuments/
links to user. Depending upon the user
behavior the documents are retrieved to user. For this
we will firstly create a login section where user will
provide interests, hobbies and designation in it, to make
searching more useful.
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Keywords
Content description, keywords, Information
Retrieval, Search engine, Query processing.