《International Journal of Approximate Reasoning》
Com- bining content-based and collaborative recommendations: A hy- brid approach based on Bayesian networks
作者:
LM De Campos，JM Fernández-Luna，JF Huete，MA Rueda-Morales
关键词:
Bayesian networks；Collaborative filtering；Content-based filtering；Hybrid recommender systems；IMDB；MovieLens
摘要:
This paper therefore presents a new Bayesian network model to deal with the problem of hybrid recommendation by combining content-based and collaborative features. It has been tailored to the problem in hand and is equipped with a flexible topology and efficient mechanisms to estimate the required probability distributions so that probabilistic inference may be performed. The effectiveness of the model is demonstrated using the MovieLens and IMDB data sets.
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