Ontology-based Top-N Recommendations on New Items with Matrix Factorization

  title={Ontology-based Top-N Recommendations on New Items with Matrix Factorization},
  author={Haomin Cui and Ming Zhu and Shijia Yao},
Collaborative Filter is proved to be effective in recommendations and widely used in the recommender system for online stores. The mechanism of this method is to find similarities among users in rating score. The item can be recommended based on the similar user’s choice. The calculation of user similarities is based on distance metrics and vector similarity measures. However, the effect of CF methods is limited by several problems, such as the new item problem and how to recommend the items in… CONTINUE READING


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