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EDBT
2012
ACM
299views Database» more  EDBT 2012»
13 years 23 days ago
RecStore: an extensible and adaptive framework for online recommender queries inside the database engine
Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
CORR
2000
Springer
115views Education» more  CORR 2000»
14 years 10 months ago
Exploiting Diversity in Natural Language Processing: Combining Parsers
Three state-of-the-art statistical parsers are combined to produce more accurate parses, as well as new bounds on achievable Treebank parsing accuracy. Two general approaches are ...
John C. Henderson, Eric Brill
HICSS
2005
IEEE
115views Biometrics» more  HICSS 2005»
15 years 4 months ago
Exploring the Psychological Determinants of Perceived Ease of Use and Usefulness
The question of why individuals adopt a particular information system is an important issue in IS research. While extensive prior research has established that the Technology Acce...
Bryan A. Reinicke, George M. Marakas
ICASSP
2011
IEEE
14 years 1 months ago
Score fusion and calibration in multiple language detectors with large performance variation
In a large-scale language detection task, performance variation found between different component systems and different target languages has an adverse effect to the pooled error ...
Raymond W. M. Ng, Cheung-Chi Leung, Tan Lee, Bin M...
ITCC
2005
IEEE
15 years 4 months ago
A Web Recommendation System Based on Maximum Entropy
We propose a Web recommendation system based on a maximum entropy model. Under the maximum entropy principle, we can combine multiple levels of knowledge about users’ navigation...
Xin Jin, Bamshad Mobasher, Yanzan Zhou