UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRAU06034


Registration ID:
202020

Page Number

230-238

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Title

CAPTURING USER EXPECTATION FOR ACCURATE INFORMATION RETRIEVAL IN PERSONALIZED WEBSITES

Abstract

CPSS (Cyber Physical Social Systems) provide high quality, proactive and personalized services for humans. Billions of bytes of data are generated every second in CPSS. General search engines are built to serve all users, but they face difficulties in addressing the needs of user. Capturing user expectation has become difficult especially in personalized websites. Here we are using keyword extraction algorithm for effective search, real-time location and relevant feedback algorithm are used to acquire specific information. Implicit feedback based on click-through data analysis is used. To improve the ranking quality we are designing a personalized page rank algorithm.

Key Words

CAPTURING USER EXPECTATION FOR ACCURATE INFORMATION RETRIEVAL IN PERSONALIZED WEBSITES

Cite This Article

"CAPTURING USER EXPECTATION FOR ACCURATE INFORMATION RETRIEVAL IN PERSONALIZED WEBSITES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.230-238, March-2019, Available :http://www.jetir.org/papers/JETIRAU06034.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"CAPTURING USER EXPECTATION FOR ACCURATE INFORMATION RETRIEVAL IN PERSONALIZED WEBSITES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp230-238, March-2019, Available at : http://www.jetir.org/papers/JETIRAU06034.pdf

Publication Details

Published Paper ID: JETIRAU06034
Registration ID: 202020
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 230-238
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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