Time-aware Recommender System Using Naïve Bayes Classifier Weighting Technique
- 10.2991/3ca-13.2013.66How to use a DOI?
- component; Recommender system, Naïve Bayes Classifier, Time-awareness
Collaborative filtering method have been widely used in the recommender system which has problems of scalability and highly time consuming between the process of recommendation and traditional method didn’t concern over the difference of time that a user has rating for an item. In this paper, we proposed a Naïve Bayes Classifier technique that uses the user rating for the item and item information to construct a model with time awareness. It will provide better scalability and accuracy recommendation result even the system has more sparsity. In addition, it decreases time consuming by constructing a model in the offline and calculate the recommendation results in online phase. We show the result from our proposed can make the system get more efficient.
- © 2013, 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/).
Cite this article
TY - CONF AU - Sutheera Puntheeranurak AU - Pongpan Pitakpaisarnsin PY - 2013/04 DA - 2013/04 TI - Time-aware Recommender System Using Naïve Bayes Classifier Weighting Technique BT - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation PB - Atlantis Press SP - 266 EP - 269 SN - 1951-6851 UR - https://doi.org/10.2991/3ca-13.2013.66 DO - 10.2991/3ca-13.2013.66 ID - Puntheeranurak2013/04 ER -