Time-aware Recommender System Using Naïve Bayes Classifier Weighting Technique

DOI

10.2991/3ca-13.2013.66How to use a DOI?

Keywords

component; Recommender system, Naïve Bayes Classifier, Time-awareness

Abstract

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.

Copyright

© 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/).

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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  -