Hybrid Recommendation System using Particle Swarm Optimization and User Access Based Ranking-Reference-Cited by-同舟云学术

Hybrid Recommendation System using Particle Swarm Optimization and User Access Based Ranking

Published:2016-08-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Informatics and Analytics
language:
Short-container-title:

Author:

Sumathi G.¹,Sendhilkumar S.¹,Mahalakshmi G. S.²

Affiliation:

1. Dept. of IST, Anna University, Chennai, India

2. Dept. of CSE, Anna University, Chennai, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2980258.2980405

Reference26 articles.

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3. Castellanos I. and Rojas Y. 2014. Recommender system using collaborative filtering for the publication system of multimedia content-Video Web 1.0. Intl. Jour. of innovation and applied studies 6(3) 326--334. Castellanos I. and Rojas Y. 2014. Recommender system using collaborative filtering for the publication system of multimedia content-Video Web 1.0. Intl. Jour. of innovation and applied studies 6(3) 326--334.

4. High Rating Recent Preferences Based Recommendation System

5. Formoso V. Fernández D. Cacheda F. and Carneiro V. 2013. Using profile expansion techniques to alleviate the new user problem. Information processing & management 49(3). 659--672. 10.1016/j.ipm.2012.07.005 Formoso V. Fernández D. Cacheda F. and Carneiro V. 2013. Using profile expansion techniques to alleviate the new user problem. Information processing & management 49(3). 659--672. 10.1016/j.ipm.2012.07.005

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