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SIGIR
2011
ACM
8 years 10 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
ICDE
2011
IEEE
225views Database» more  ICDE 2011»
8 years 10 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
CF
2011
ACM
8 years 7 months ago
Hybrid high-performance low-power and ultra-low energy reliable caches
Ubiquitous computing has become a very popular paradigm. The most suitable technological solution for those systems consists of using hybrid processors able to operate at high vol...
Bojan Maric, Jaume Abella, Francisco J. Cazorla, M...
TKDE
2011
133views more  TKDE 2011»
9 years 2 months ago
Collaborative Filtering with Personalized Skylines
— Collaborative filtering (CF) systems exploit previous ratings and similarity in user behavior to recommend the top-k objects/records which are potentially most interesting to t...
Ilaria Bartolini, Zhenjie Zhang, Dimitris Papadias
RTAS
2011
IEEE
8 years 10 months ago
Maximizing Contention-Free Executions in Multiprocessor Scheduling
—It is widely assumed that scheduling real-time tasks becomes more difficult as their deadlines get shorter. With deadlines shorter, however, tasks potentially compete less with...
Jinkyu Lee, Arvind Easwaran, Insik Shin
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