Acquiring Word Similarities with Higher Order Association Mining
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A hybrid recommendation technique based on product category attributes
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Personal ontologies: Generation of user profiles based on the YAGO ontology
Information Processing and Management: an International Journal
Attribute-based collaborative filtering using genetic algorithm and weighted C-means algorithm
International Journal of Business Information Systems
International Journal of Business Information Systems
International Journal of Business Information Systems
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Recommender systems help to reduce information overload and provide customized information access for targeted domains. Such systems take input from users and, based on their needs and preferences, provide personalized advices that help people to filter useful information. Collaborative filtering and content-based filtering are the most widely recommendation techniques adopted to date. The paper presents a new hybrid recommendation technique based on the combination of classic collaborative filtering and user profiles inferred using content-based methods.