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» Feature-Weighted User Model for Recommender Systems
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CSCW
2000
ACM
14 years 6 days ago
Explaining collaborative filtering recommendations
Automated collaborative filtering (ACF) systems predict a person’s affinity for items or information by connecting that person’s recorded interests with the recorded interests...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
AIA
2007
13 years 9 months ago
Adaptive preference elicitation for top-K recommendation tasks using GAI-networks
The enormous number of questions needed to acquire a full preference model when the size of the outcome space is large forces us to work with partial models that approximate the u...
Sérgio R. de M. Queiroz
SMC
2010
IEEE
166views Control Systems» more  SMC 2010»
13 years 6 months ago
A system to recommend dishes by the real time recognition of dining activity
— Enhancement of dining environment by information technology is explored in this paper. A table system to recommend additional dishes according to the dining status is introduce...
Tomoo Inoue, Yosuke Matsusaka
AIPS
2003
13 years 9 months ago
Recommendation as a Stochastic Sequential Decision Problem
Recommender systems — systems that suggest to users in e-commerce sites items that might interest them — adopt a static view of the recommendation process and treat it as a pr...
Ronen I. Brafman, David Heckerman, Guy Shani
SIGIR
2009
ACM
14 years 2 months ago
On social networks and collaborative recommendation
Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided an...
Ioannis Konstas, Vassilios Stathopoulos, Joemon M....