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» Providing Justifications in Recommender Systems
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IMC
2010
ACM
13 years 5 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
SAC
2008
ACM
13 years 7 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...
ICPPW
2002
IEEE
14 years 18 days ago
Hebbian Algorithms for a Digital Library Recommendation System
generally meta-data, so that documents on any specific subject can be transparently retrieved. While quality control can in principle still rely on the traditional methods of peer-...
Francis Heylighen, Johan Bollen
MOBISYS
2011
ACM
12 years 10 months ago
AppJoy: personalized mobile application discovery
The explosive growth of the mobile application market has made it a significant challenge for the users to find interesting applications in crowded App Stores. To alleviate this...
Bo Yan, Guanling Chen
ICDE
2011
IEEE
225views Database» more  ICDE 2011»
12 years 11 months ago
Methods for boosting recommender systems
—Online shopping has grown rapidly over the past few years. Besides the convenience of shopping directly from ones home, an important advantage of e-commerce is the great variety...
Rubi Boim, Tova Milo