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» How Users Perceive and Appraise Personalized Recommendations
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IUI
2003
ACM
14 years 7 days ago
Personal choice point: helping users visualize what it means to buy a BMW
How do we know if we can afford a particular purchase? We can find out what the payments might be and check our balances on various accounts, but does this answer the question? Wh...
Andrew E. Fano, Scott W. Kurth
RECSYS
2010
ACM
13 years 7 months ago
Beyond accuracy: evaluating recommender systems by coverage and serendipity
When we evaluate the quality of recommender systems (RS), most approaches only focus on the predictive accuracy of these systems. Recent works suggest that beyond accuracy there i...
Mouzhi Ge, Carla Delgado-Battenfeld, Dietmar Janna...
AGENTS
1997
Springer
13 years 11 months ago
An Adaptive Web Page Recommendation Service
An adaptive recommendation service seeks to adapt to its users, providing increasingly personalized recommendations over time. In this paper we introduce the \Fab" adaptive W...
Marko Balabanovic
ICWS
2010
IEEE
13 years 5 months ago
User Experience in Added Value Location-Based Mobile Music Service
— In this paper, the user experience in added value location-based mobile music service called the City Night Life (CNL) is evaluated and analyzed. The CNL service provides recom...
Timo Koskela, Sari Järvinen, Meirong Liu, Mik...
SIGIR
2003
ACM
14 years 7 days ago
The Personalized, Collaborative Digital Library Environment CYCLADES and Its Collections Management
Usually, a Digital Library (DL) is an information resource where users may submit queries to satisfy their daily information need. The CYCLADES system envisages a DL additionally a...
Leonardo Candela, Umberto Straccia