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» A Personalized System for Conversational Recommendations
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IMC
2010
ACM
13 years 7 months ago
The impact of YouTube recommendation system on video views
Hosting a collection of millions of videos, YouTube offers several features to help users discover the videos of their interest. For example, YouTube provides video search, relate...
Renjie Zhou, Samamon Khemmarat, Lixin Gao
CORR
2008
Springer
133views Education» more  CORR 2008»
13 years 9 months ago
Emergence of Spontaneous Order Through Neighborhood Formation in Peer-to-Peer Recommender Systems
The advent of the Semantic Web necessitates paradigm shifts away from centralized client/server architectures towards decentralization and peer-to-peer computation, making the exi...
Ernesto Diaz-Aviles, Lars Schmidt-Thieme, Cai-Nico...
DATAMINE
2002
155views more  DATAMINE 2002»
13 years 9 months ago
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among customers' preferences. We investigate the use of a...
Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz
CORR
2010
Springer
169views Education» more  CORR 2010»
13 years 3 months ago
Recommender Systems by means of Information Retrieval
In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
Alberto Costa, Fabio Roda
SAC
2008
ACM
13 years 8 months ago
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...