Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

A Collaborative Filtering Recommendation Algorithm Based on User Interest

Authors
Zhenyu Chen, Wenye Yu
Corresponding Author
Zhenyu Chen
Available Online June 2015.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 2nd International Conference on Electrical, Computer Engineering and Electronics
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.276How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2015 2nd International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.276
DO  - https://doi.org/10.2991/icecee-15.2015.276
ID  - Chen2015/06
ER  -