Modeling decisions for artificial intelligence: theory, tools and applications
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
Negative implicit feedback in e-commerce recommender systems
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
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We discuss the role of disjunctive aggregation operators in prototype based reasoning systems such as recommender systems. We indicate a need for these aggregation operators to have the additional property of noble reinforcement: Allowing a collection of high valued arguments to reinforce each other to give complete satisfaction while avoiding the situation in which a collection of low valued arguments act in the same way. We describe the difficulty that most t-conorms have in realizing this feature of noble reinforcement. We show that by relaxing the requirement of associativity we can provide disjunctive type aggregation operators that manifest noble reinforcement.