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» Putting Users in Control of their Recommendations
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RECSYS
2010
ACM
14 years 10 months ago
On the real-time web as a source of recommendation knowledge
The so-called real-time web (RTW) is a web of opinions, comments, and personal viewpoints, often expressed in the form of short, 140-character text messages providing abbreviated ...
Sandra Garcia Esparza, Michael P. O'Mahony, Barry ...
ICOM
2011
14 years 1 months ago
A Context-Aware Proactive Controller for Smart Environments
In this paper we describe an implicit user interface for smart environment control: We make our system guess how to assist the user(s) proactively. Our controller is based on two ...
Frank Krüger, Gernot Ruscher, Sebastian Bader...
RECSYS
2009
ACM
15 years 4 months ago
Collaborative prediction and ranking with non-random missing data
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ď¬...
Benjamin M. Marlin, Richard S. Zemel
67
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UIALL
2004
Springer
15 years 3 months ago
Adaptive User Modelling in AthosMail
In this paper we discuss the adaptive User Model component of the AthosMail system, and describe especially the Cooperativity Model which produces recommendations for the appropria...
Kristiina Jokinen, Kari Kanto, Jyrki Rissanen
RECSYS
2009
ACM
15 years 4 months ago
Rating aggregation in collaborative filtering systems
Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
Florent Garcin, Boi Faltings, Radu Jurca, Nadine J...