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Multi-Criteria User Modeling in Recommender Systems

Multi-Criteria User Modeling in Recommender Systems

Starting at: Rs.4,500.00

4500 reward points

Multi-Criteria User Modeling in Recommender Systems

†Recommender systems are software applications that attempt to reduce information overload. Their goal is to recommend items of interest to the end users based on their preferences. To achieve that, most Recommender Systems exploit the Collaborative Filtering approach. In parallel, Multiple Criteria Decision Analysis (MCDA) is a well established field of Decision Science that aims at analyzing and modeling decision makerís value system, in order to support him/her in the decision making process. A hybrid framework that incorporates techniques from the field of MCDA, together with the Collaborative Filtering approach, is analyzed. The proposed methodology improves the performance of simple Multi-rating Recommender Systems as a result of two main causes; the creation of groups of user profiles prior to the application of Collaborative Filtering algorithm and the fact that these profiles are the result of a user modeling process, which is based on individual userís value system and exploits Multiple Criteria Decision Analysis techniques. Experiments in real user data prove the aforementioned statement.



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  • Model: PROJ5781
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Friday 30 September, 2016.

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