Record Details

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

Online Publishing @ NISCAIR

View Archive Info
 
 
Field Value
 
Authentication Code dc
 
Title Statement Effective recommendation model using social network for linking user pursuit to product content
 
Added Entry - Uncontrolled Name P, Valarmathi ; Department of Computer Science of Engineering, National Institute of Technology Puducherry, Karaikal 609 609, India
 
Uncontrolled Index Term Recommender system, E-commerce, Diversification, Fuzzy logic, Amazon dataset
 
Summary, etc. 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.
 
Publication, Distribution, Etc. Indian Journal of Radio & Space Physics (IJRSP)
2022-04-27 12:53:20
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/IJRSP/article/view/62092
 
Data Source Entry Indian Journal of Radio & Space Physics (IJRSP); ##issue.vol## 50, ##issue.no## 1 (2021): IJRSP MARCH-2021
 
Language Note en
 
Terms Governing Use and Reproduction Note Except where otherwise noted, the Articles on this site are licensed underCreative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India© 2012. The Council of Scientific & Industrial Research, New Delhi.