Title :
Combining Situation and Content Similarities in Fuzzy Based Interest Matchmaking Mechanism
Author :
Djaghloul, Y. ; Groues, V. ; Naudet, Yannick
Author_Institution :
CRP Henri Tudor, Esch-sur-Alzette, Luxembourg
Abstract :
In this paper, we present an approach to weight the influence of context regarding user interests in content-based recommendations. The balance between interest-content matching and situation matching is formalized using a Fuzzy model, allowing more intuitive personalization. Using content consumption history, this model can be optimized from an initial general model to a new one fitting better the preferences of the user. We propose a generic service for such personalized context-aware recommendations. Experimental results are discussed and show the effectiveness comparing to a classical weighted function.
Keywords :
content management; fuzzy set theory; pattern matching; recommender systems; ubiquitous computing; content consumption history; content similarity; content-based recommendation; fuzzy based interest matchmaking mechanism; fuzzy model; interest-content matching; personalization; personalized context-aware recommendation; situation matching; situation similarity; user interest; Context; Fuzzy logic; Load modeling; Ontologies; Optimization; Pragmatics; Recommender systems; Fuzzy logic; Personalization; Recommender System; Situation;
Conference_Titel :
Semantic and Social Media Adaptation and Personalization (SMAP), 2012 Seventh International Workshop on
Conference_Location :
Luxembourg
Print_ISBN :
978-1-4673-4563-7
DOI :
10.1109/SMAP.2012.21
