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» Personalized Recommendation of TV Programs
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ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
15 years 6 months ago
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Yifan Hu, Yehuda Koren, Chris Volinsky
UM
2009
Springer
15 years 6 months ago
How Users Perceive and Appraise Personalized Recommendations
Abstract. Traditional websites have long relied on users revealing their preferences explicitly through direct manipulation interfaces. However recent recommender systems have gone...
Nicolas Jones, Pearl Pu, Li Chen
DOCENG
2003
ACM
15 years 5 months ago
Structuring interactive TV documents
Interactive video technology is meant to support user-interaction with video in scene objects associated with navigation in video segments and access to text-based metadata. Inter...
Rudinei Goularte, Edson dos Santos Moreira, Maria ...
UM
2010
Springer
15 years 3 months ago
Interaction and Personalization of Criteria in Recommender Systems
A user’s informational need and preferences can be modeled by criteria, which in turn can be used to prioritize candidate results and produce a ranked list. We examine the use of...
Shawn R. Wolfe, Yi Zhang
UM
2010
Springer
15 years 4 months ago
A Study on User Perception of Personality-Based Recommender Systems
Our previous research indicates that using personality quizzes is a viable and promising way to build user profiles to recommend entertainment products. Based on these findings, ...
Rong Hu, Pearl Pu