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IADIS
2003
13 years 9 months ago
Prediction Strategies in a TV Recommender System - Method and Experiments
Predicting the interests of a user in information is an important process in personalized information systems. In this paper, we present a way to create prediction engines that al...
Mark van Setten, Mettina Veenstra, Anton Nijholt, ...
ICCBR
2005
Springer
14 years 1 months ago
Re-using Implicit Knowledge in Short-Term Information Profiles for Context-Sensitive Tasks
Typically, case-based recommender systems recommend single items to the on-line customer. In this paper we introduce the idea of recommending a user-defined collection of items whe...
Conor Hayes, Paolo Avesani, Emiliano Baldo, Padrai...
CORR
2011
Springer
166views Education» more  CORR 2011»
12 years 11 months ago
A Personalized System for Conversational Recommendations
Searching for and making decisions about information is becoming increasingly difficult as the amount of information and number of choices increases. Recommendation systems help ...
Mehmet H. Göker, Pat Langley, Cynthia A. Thom...
AAAI
2010
13 years 9 months ago
Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach
With the increasing popularity of location tracking services such as GPS, more and more mobile data are being accumulated. Based on such data, a potentially useful service is to m...
Vincent Wenchen Zheng, Bin Cao, Yu Zheng, Xing Xie...
FLAIRS
2006
13 years 9 months ago
Combining Visualization and Feedback for Eyewear Recommendation
The importance of effective customer assistance technologies is imperative in today's online marketplace where users are oftentimes overwhelmed by the product choices availab...
John Doody, Edwin Costello, Lorraine McGinty, Barr...