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AAAI
2000
13 years 11 months ago
TV Content Recommender System
The plethora of content available to the consumer has become overwhelming. Increasing amounts of information are being disseminated through terrestrial broadcast, satellite, and c...
Srinivas Gutta, Kaushal Kurapati, K. P. Lee, Jacqu...
ICML
2004
IEEE
14 years 10 months ago
Unifying collaborative and content-based filtering
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
Justin Basilico, Thomas Hofmann
SIGPRO
2008
74views more  SIGPRO 2008»
13 years 10 months ago
Speaker segmentation and clustering
This survey focuses on two challenging speech processing topics, namely: speaker segmentation and speaker clustering. Speaker segmentation aims at finding speaker change points in...
Margarita Kotti, Vassiliki Moschou, Constantine Ko...
ICIW
2008
IEEE
14 years 4 months ago
SEARCHY: An Agent to Personalize Search Results
—User’s behaviour in browsing sessions is a valuable source of information useful to analyze user interests and personalize the human-computer interaction during information se...
Ivan Marcialis, Emanuela De Vita
ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
14 years 4 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