Probabilistic Reinforcement Rules for Item-Based Recommender Systems.

Sylvain Castagnos Armelle Brun Anne Boyer

Published in: ECAI (2008)

Keyphrases

recommender systems
collaborative filtering
probabilistic relational
reinforcement learning
matrix factorization
information overload
rule sets
cold start problem

user preferences
probabilistic model
trust aware
item based collaborative filtering
user interests
information filtering
user profiles

implicit feedback
probabilistic logic
collaborative filtering recommender systems
user modeling
production rules
rule extraction
user ratings

data sparsity
boolean expressions
personal preferences
uncertain data
association rule mining
domain experts
generative model