J. Delgado and N. Ishii. Memory-based weightedmajority prediction for recommender systems. In Proceedings of the ACM SIGIR-99, Recommender Systems Workshop, August 1999. Home/Search Document Details and Download
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A Formal Model for User Preference - Jung, Hong (2002) (Correct)
....Personalization, Data Sparseness, Pareto Distribution, Random Occurrence Probability, Dynamic Weighting Model. 1. Introduction User preference is an important concept to predict user behaviors and recommend preferred items in personalization systems. Many researches on personalization system [1] [2] [3] have adopted direct recommendation models which do not have formal preference model, so they have problems in dealing with intrinsic properties of preference, and interpreting intuitive meaning of preference from the results. Preference is the concept to make relation between a person and a ....
Delgado, J., and N. Ishii, "Memory-Based WeightedMajority Prediction for Recommender Systems," ACM SIGIR'99 Workshop on Recommender Systems, 1999.
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J. Delgado and N. Ishii. Memory-based weightedmajority prediction for recommender systems. In Proceedings of the ACM SIGIR-99, Recommender Systems Workshop, August 1999.
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