research-article

Provenance based Trust computation for Recommendation in Social Network

Authors:

A. Christiyana Arulselvi,

S. SendhilKumar,

G. S. MahalakshmiAuthors Info & Claims

ICIA-16: Proceedings of the International Conference on Informatics and Analytics

Article No.: 114, Pages 1 - 7

https://doi.org/10.1145/2980258.2982105

Published: 25 August 2016 Publication History

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Abstract

The term social network means to develop traditional communication among people. As it becomes online, the people in communication don't have face-to-face contact and also they may be known or unknown. Though known, there is no guarantee and confident that one who contact as a requester is a friend or foe. This paper aims towards developing a provenance-based trust model by utilizing the reputation of the mutual friend from the interaction he/she had with the requester. Provenance factors identified from the interaction information are used to compute the reputation. Because of the uncertainty in the behavior of a person in online social networking (OSN) sites, a stochastic model that evolves the randomness over time is applied and the trust computation is further refined. A statistical approach using Bayesian is used for recommending trustable request.

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Cited By

Darraz NKarabila IEl-Ansari AAlami NLazaar MMallahi M(2023)Using Sentiment Analysis to Spot Trending Products2023 Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE)10.1109/ICVEE59738.2023.10348252(48-54)Online publication date: 14-Oct-2023
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https://doi.org/10.1109/ICCONS.2017.8250525

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cover image ACM Other conferences

ICIA-16: Proceedings of the International Conference on Informatics and Analytics

August 2016

868 pages

ISBN:9781450347563

DOI:10.1145/2980258

Copyright © 2016 ACM.

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Published: 25 August 2016

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ICIA-16: International Conference on Informatics and Analytics

August 25 - 26, 2016

Pondicherry, India

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Cited By

Darraz NKarabila IEl-Ansari AAlami NLazaar MMallahi M(2023)Using Sentiment Analysis to Spot Trending Products2023 Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE)10.1109/ICVEE59738.2023.10348252(48-54)Online publication date: 14-Oct-2023
https://doi.org/10.1109/ICVEE59738.2023.10348252
Arulselvi ASendhilkumar SMahalakshmi S(2017)Classification of tweets for sentiment and trend analysis2017 International Conference on Intelligent Computing and Control Systems (ICICCS)10.1109/ICCONS.2017.8250525(566-573)Online publication date: Jun-2017
https://doi.org/10.1109/ICCONS.2017.8250525

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