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KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 4 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
16 years 4 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
OSDI
2004
ACM
16 years 4 months ago
Enhancing Server Availability and Security Through Failure-Oblivious Computing
We present a new technique, failure-oblivious computing, that enables servers to execute through memory errors without memory corruption. Our safe compiler for C inserts checks th...
Martin C. Rinard, Cristian Cadar, Daniel Dumitran,...
ICAC
2009
IEEE
15 years 10 months ago
Self-correlating predictive information tracking for large-scale production systems
Automatic management of large-scale production systems requires a continuous monitoring service to keep track of the states of the managed system. However, it is challenging to ac...
Ying Zhao, Yongmin Tan, Zhenhuan Gong, Xiaohui Gu,...
129
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GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 10 months ago
GAMA (genetic algorithm driven multi-agents)for e-commerce integrative negotiation
Software agents help automate a variety of tasks including those involved in buying and selling products over the internet. The need for handling complex highly configurable produ...
Magda Bahaa Eldin Fayek, Ihab A. Talkhan, Khalil S...
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