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RECSYS
2010
ACM
15 years 6 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho
RECSYS
2010
ACM
15 years 6 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
SIGCOMM
2010
ACM
15 years 6 months ago
On-line consistent backup in transactional file systems
A consistent backup, preserving data integrity across files in a file system, is of utmost importance for the purpose of correctness and minimizing system downtime during the proc...
Lipika Deka, Gautam Barua
SIGIR
2010
ACM
15 years 6 months ago
SED: supervised experimental design and its application to text classification
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...
Yi Zhen, Dit-Yan Yeung
SIGMOD
2010
ACM
249views Database» more  SIGMOD 2010»
15 years 6 months ago
Worry-free database upgrades: automated model-driven evolution of schemas and complex mappings
Schema evolution is an unavoidable consequence of the application development lifecycle. The two primary schemas in an application, the client conceptual object model and the pers...
James F. Terwilliger, Philip A. Bernstein, Adi Unn...