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KCAP
2003
ACM
14 years 1 months ago
Capturing interest through inference and visualization: ontological user profiling in recommender systems
Tools for filtering the World Wide Web exist, but they are hampered by the difficulty of capturing user preferences in such a diverse and dynamic environment. Recommender systems ...
Stuart E. Middleton, Nigel R. Shadbolt, David De R...
MIR
2010
ACM
264views Multimedia» more  MIR 2010»
14 years 3 months ago
Quest for relevant tags using local interaction networks and visual content
Typical tag recommendation systems for photos shared on social networks such as Flickr, use visual content analysis, collaborative filtering or personalization strategies to prod...
Neela Sawant, Ritendra Datta, Jia Li, James Ze Wan...
WWW
2011
ACM
13 years 3 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
MDM
2010
Springer
151views Communications» more  MDM 2010»
13 years 7 months ago
diffeRS: A Mobile Recommender Service
—Thanks to advances in mobile technology, modern mobile devices have become essential companions, assisting their users in attaining their daily tasks. It will not be long before...
Lucia Del Prete, Licia Capra
AH
2006
Springer
14 years 9 days ago
A Comparative Study of Compound Critique Generation in Conversational Recommender Systems
Abstract. Critiquing techniques provide an easy way for users to feedback their preferences over one or several attributes of the products in a conversational recommender system. W...
Jiyong Zhang, Pearl Pu