International Journal of Scientific Development and Research - IJSDR
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Paper Title: A Semantic-Based Companion Approval System for Social Networks
Authors Name: Payal Prakash Bansod , Varsha D. Jadhav
Unique Id: IJSDR2008061
Published In: Volume 5 Issue 8, August-2020
Abstract: Existing community networks urge associates to users based on their collective graphs like reciprocated acquaintances, which may not be the most suitable to reflect a user's taste on friend assortment in real life. In order to progress the obtainable methods, a semantic based conviction recommendation system which recommends attendant having high similarities in significance sharing. As a result, the semantic based counsel system maintains essential group of conviction people having analogous interest. On line implicit groups are becoming increasingly outstanding due to the enlargement of neighborhood and social networking sites. We intend LDA algorithm using some selected user properties to update friend-book.
Keywords: Semantic, Friend-book, Smart-phone, Social Network, Recommendation
Cite Article: "A Semantic-Based Companion Approval System for Social Networks", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 8, page no.431 - 437, August-2020, Available :http://www.ijsdr.org/papers/IJSDR2008061.pdf
Downloads: 00060116
Publication Details: Published Paper ID: IJSDR2008061
Registration ID:192388
Published In: Volume 5 Issue 8, August-2020
DOI (Digital Object Identifier):
Page No: 431 - 437
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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