These models are induced by data mining algorithms using as input data both product and user attributes structured according to a particular domain ontology.
This work proposes a complete framework to deal with some important drawbacks still present in current recommender systems, addressed to movies' ...
These models are induced by data mining algorithms using as input data both product and user attributes structured according to a particular domain ontology.
Bibliographic details on Movie Recommendation Framework Using Associative Classification and a Domain Ontology.
Movie Recommendation Framework Using Associative Classification and a Domain Ontology. M. García, S. Segrera, V. Batista, M. Vicente, and Á. Sánchez.
People also ask
What are movie recommendation system methods?
Which other learning approach or approaches could be used to generate a movie recommendation system?
Movie Recommendation Framework Using Associative Classification and a Domain Ontology. 2013 · Marı́a N. Moreno Garcı́a, Saddys Segrera, et al. · Lecture ...
Movie recommendation framework using associative classification and a domain ontology. MN Moreno, S Segrera, VF López, MD Muñoz, AL Sánchez. Hybrid Artificial ...
A collaborative filtering method for music recommendation using ... 2019. Movie recommendation framework using associative classification and a domain ontology.
Web mining based framework for solving usual problems in recommender systems. · Movie Recommendation Framework Using Associative Classification and a Domain ...
Recommendations are obtained by means of applying associative classification to data annotated with semantic metadata according to a domain-specific ontology.