A Collaborative Filtering Recommendation Algorithm Based on User Interest

DOI

10.2991/icecee-15.2015.276How to use a DOI?

Keywords

Collaborative Filtering; User Interest; Recommendation System.

Abstract

Collaborative filtering recommendation is one of the most successful technologies for applying in recommendation system of E-commerce websites. However, the traditional collaborative filtering recommendation system is under-powered for dealing with user interest and data sparsity. To solve this problem, this paper proposes a collaborative filtering recommendation algorithm based on user interest (CFRUI). The algorithm introduces user interest weights to establish user-item rating matrix, implements similarity calculation by clustering analysis, so as to get the final recommended result. The experiment results show the algorithm can make effectively utilization of user interest to improve recommended quality.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhenyu Chen
AU  - Wenye Yu
PY  - 2015/06
DA  - 2015/06
TI  - A Collaborative Filtering Recommendation Algorithm Based on User Interest
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 1473
EP  - 1477
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.276
DO  - 10.2991/icecee-15.2015.276
ID  - Chen2015/06
ER  -