Conceptual recommender system for CiteSeerX

  title={Conceptual recommender system for CiteSeerX},
  author={Ajith Kodakateri Pudhiyaveetil and Susan Gauch and Hiep Phuc Luong and Joshua Eno},
  booktitle={RecSys '09},
Short search engine queries do not provide contextual information, making it difficult for traditional search engines to understand what users are really requesting. One approach to this problem is to use recommender systems that identify user interests through various methods in order to provide information specific to the user's needs. However, many current recommender systems use a collaborative model based on a network of users to provide the recommendations, leading to problems in… 

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