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» Refreshing Models to Provide Timely Query Recommendations
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ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
14 years 7 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...
DSS
2006
138views more  DSS 2006»
14 years 9 months ago
Design of a shopbot and recommender system for bundle purchases
The increasing proliferation of online shopping and purchasing has naturally led to a growth in the popularity of comparisonshopping search engines, popularly known as "shopb...
Robert S. Garfinkel, Ram D. Gopal, Arvind K. Tripa...
EDBT
2011
ACM
199views Database» more  EDBT 2011»
14 years 1 months ago
Predicting completion times of batch query workloads using interaction-aware models and simulation
A question that database administrators (DBAs) routinely need to answer is how long a batch query workload will take to complete. This question arises, for example, while planning...
Mumtaz Ahmad, Songyun Duan, Ashraf Aboulnaga, Shiv...
SDM
2003
SIAM
123views Data Mining» more  SDM 2003»
14 years 11 months ago
Fast Online SVD Revisions for Lightweight Recommender Systems
The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
Matthew Brand
STAIRS
2008
169views Education» more  STAIRS 2008»
14 years 11 months ago
Probabilistic Association Rules for Item-Based Recommender Systems
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
Sylvain Castagnos, Armelle Brun, Anne Boyer