UGC Approved Journal no 63975

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

Volume 3 Issue 2
February-2016
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1602001


Registration ID:
160010

Page Number

1-5

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Title

Survey of Heterogeneous Sim-Rank System For Image Intensional Search

Abstract

First introduce MoK-SimRank to significantly improve the speed and one of the most popular algorithms for computing node similarity in information networks. Next, propose an algorithm called SimLearn to (1) Extend MoK-SimRank to heterogeneous image-rich information network. (2 Both link-based and content based similarity accounts integrating reinforcement learning with feature learning.for that present a system called iRIN designed for performing image retrieval in image-rich information networks. Then, propose an algorithm Integrated Weighted Similarity Learning (IWSL) to account for both link-based and content based similarities by considering the network structure and mutually reinforcing link similarity . Then conduct experiments on Flickr and Amazon networks. The results achieves better performance than traditional approaches and Implement a new product search and recommendation system to find both visually semantically relevant products based on algorithm

Key Words

Image Retrieval ,Information Network, ranking, Image Mining

Cite This Article

"Survey of Heterogeneous Sim-Rank System For Image Intensional Search", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 2, page no.1-5, February-2016, Available :http://www.jetir.org/papers/JETIR1602001.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

"Survey of Heterogeneous Sim-Rank System For Image Intensional Search", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 2, page no. pp1-5, February-2016, Available at : http://www.jetir.org/papers/JETIR1602001.pdf

Publication Details

Published Paper ID: JETIR1602001
Registration ID: 160010
Published In: Volume 3 | Issue 2 | Year February-2016
DOI (Digital Object Identifier):
Page No: 1-5
Country: pune, maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162


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