A Collaborative Filtering Recommendation Algorithm Based on User Interest
Zhenyu Chen, Wenye Yu
Available Online June 2015.
- https://doi.org/10.2991/icecee-15.2015.276How to use a DOI?
- Collaborative Filtering; User Interest; Recommendation System.
- 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.
- 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 -