A Hybrid Multi-criteria Semantic-Enhanced Collaborative Filtering Approach for Personalized Recommendations

@article{Shambour2011AHM,
  title={A Hybrid Multi-criteria Semantic-Enhanced Collaborative Filtering Approach for Personalized Recommendations},
  author={Qusai Shambour and Jie Lu},
  journal={2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology},
  year={2011},
  volume={1},
  pages={71-78}
}
Recommender systems aim to assist web users to find only relevant information to their needs rather than an undifferentiated mass of information. Collaborative filtering (CF) techniques are probably the most popular and widely adopted techniques in recommender systems. Despite of their success in various applications, CF-based techniques still encounter two major limitations, namely sparsity and cold-start problems. More recently, semantic information of items has been successfully used in… CONTINUE READING
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