Semantic Based Web Mining for Recommender Systems

Autor:	María Dolores Muñoz Vicente, Joel Pinho Lucas, María N. Moreno García, Vivian F. López Batista
Rok vydání:	2010
Předmět:	World Wide Web Web mining Computer science business.industry Semantic computing Semantic Web Stack Recommender system Web intelligence business Semantic Web Data Web Social Semantic Web
Zdroj:	Advances in Intelligent and Soft Computing ISBN: 9783642148828 DCAI
DOI:	10.1007/978-3-642-14883-5_3
Popis:	Availability of efficient mechanisms for selective and personalized recovery of information is nowadays one of the main demands of Web users. In the last years some systems endowed with intelligent mechanisms for making personalized recommendations have been developed. However, these recommender systems present some important drawbacks that prevent from satisfying entirely their users. In this work, a methodology that combines an association rule mining method with the definition of a domain-specific ontology is proposed in order to overcome these problems in the context of a movies’ recommender system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5acea916a6e0b9259621d79e48d6a576 https://doi.org/10.1007/978-3-642-14883-5_3 Zobrazit plný text záznamu