UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1807191


Registration ID:
184522

Page Number

242-245

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Title

Fuzzy Clustering for Ranking Relevant Information In News Media

Abstract

- In last few years, there has been a hard development of incorporating results starting structured data source into keyword based web track systems such as news media or any search engines. In search engines, different users may seek for different information by issuing the similar query. To fulfill most of users with the partial search results, search result diversification will re-rank the results for coating as many users’ intents as probable. Most of the previous intent-aware diversification algorithms will distinguish the user intentions as that of subtopics, every of which is typically a piece of clarification, a word, a phrase. Web search queries are regularly unclear or multi-search, which makes an easy ranked list of consequences insufficient. To assist data finding for such queries, device discover a method that explicitly represents captivating which means of a question the usage of organizations of semantically associated terms retrieved from seek effects . In the proposed work system Fuzzy clustering effectively identifies search engine that are relevant in both social media and news media It focus on social media plan to include other forms i.e., user attention method search engine(image process, video capture ,internet marketing). This search engine provides even more insight in the true interest of users to perform experiment on different areas and datasets.

Key Words

Fuzzy Clustering, Information Filtering, Social Computing, Social Network Analysis, Topic Identification, Topic Ranking

Cite This Article

"Fuzzy Clustering for Ranking Relevant Information In News Media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.242-245, July-2018, Available :http://www.jetir.org/papers/JETIR1807191.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

"Fuzzy Clustering for Ranking Relevant Information In News Media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp242-245, July-2018, Available at : http://www.jetir.org/papers/JETIR1807191.pdf

Publication Details

Published Paper ID: JETIR1807191
Registration ID: 184522
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 242-245
Country: --, --, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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