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Effective recommendation model using social network for linking user pursuit to product content

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Title Effective recommendation model using social network for linking user pursuit to product content
 
Creator P, Valarmathi
R, Dhanalakshmi
Rajagopalan, Narendran
 
Subject Recommender system
E-commerce
Diversification
Fuzzy logic
Amazon dataset
 
Description 40-45
The ongoing advancement of data innovation and the rapid development of the internet has encouraged a blast of data which has highlighted the issue of data overload. In reaction to this issue, recommender programs have evolved and helped users find their fascinating content. With the progressively entangled social setting, how to satisfy customized demands effectively has become another development in customized proposal administration contemplates. To mitigate the sparse issue of recommendation systems, we suggest a new recommendation approach based on fuzzy theory to improve their consistency and flexibility in diverse contexts. The proposed method also employs social network to reflect multifaceted factors of users. In this strategy, we group clients and consider about assortment of complex variables. The results on amazon dataset indicate that the proposed method achieves better efficiency over current methods.
 
Date 2021-09-09T10:07:51Z
2021-09-09T10:07:51Z
2021-03
 
Type Article
 
Identifier 0975-105X (Online); 0367-8393 (Print)
http://nopr.niscair.res.in/handle/123456789/58079
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source IJRSP Vol.50(1) [March 2021]