Exploiting hierarchical tags for context-awareness

Context-awareness for information retrieval is challenging problem as information about the users current situation is rarely available. If such information would be available, retrieval and recommendation systems could find information relevant to their users' current context. We present a model for creating contextualized recommendations based on implicitly expressed context via keywords assigned to previously seen items. When employed, the model can improve the performance of recommender systems. Categories and Subject Descriptors H.3.3 [Information Search and Retrieval]: Retrieval models General Terms Algorithms, Experimentation, Human Factors Keywords Context modeling, user modeling, context-awareness, tags

• Type: Journal
• Year: 2010
• Where: CIKM
• Authors: Alan Said, Jérôme Kunegis, Ernesto William De Luca, Sahin Albayrak
• Keywords: CIKM 2010, Human Factors Keywords, Information, Information Technology, Users Current Situation