TY  - JOUR
T1  - An Effective Preference Model to Improve Top-N Recommendation
AU  - Lee, Jaewoong 
AU  - Lee, Jongwuk 
JO  - Journal of KIISE, JOK
PY  - 2017
DA  - 2017/1/14
DO  - 10.5626/JOK.2017.44.6.621
KW  - recommendation systems
KW  - collaborative filtering
KW  - ranking-oriented collaborative filtering
KW  - Top-N recommendation
AB  - Collaborative filtering is a technique that effectively recommends unrated items for users. Collaborative filtering is based on the similarity of the items evaluated by users. The existing top-N recommendation methods are based on pair-wise and list-wise preference models. However, these methods do not effectively represent the relative preference of items that are evaluated by users, and can not reflect the importance of each item. In this paper, we propose a new method to represent user"s latent preference by combining an existing preference model and the notion of inverse user frequency. The proposed method improves the accuracy of existing methods by up to two times.