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» Estimating Probabilities in Recommendation Systems
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SIGSOFT
2007
ACM
14 years 8 months ago
Recommending random walks
We improve on previous recommender systems by taking advantage of the layered structure of software. We use a random-walk approach, mimicking the more focused behavior of a develo...
Zachary M. Saul, Vladimir Filkov, Premkumar T. Dev...
HICSS
2005
IEEE
164views Biometrics» more  HICSS 2005»
14 years 1 months ago
An Efficient Technique for Frequent Pattern Mining in Real-Time Business Applications
Association rule mining in real-time is of increasing thrust in many business applications. Applications such as e-commerce, recommender systems, supply-chain management and group...
Rajanish Dass, Ambuj Mahanti
HICSS
2006
IEEE
138views Biometrics» more  HICSS 2006»
14 years 1 months ago
An Efficient Algorithm for Real-Time Frequent Pattern Mining for Real-Time Business Intelligence Analytics
Finding frequent patterns from databases has been the most time consuming process in data mining tasks, like association rule mining. Frequent pattern mining in real-time is of in...
Rajanish Dass, Ambuj Mahanti
CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
14 years 16 days ago
Sequentially updated Probability Collectives
— Multi-agent coordination problems can be cast as distributed optimization tasks. Probability Collectives (PCs) are techniques that deal with such problems in discrete and conti...
Michalis Smyrnakis, David S. Leslie
ICCV
2005
IEEE
14 years 1 months ago
Learning the Probability of Correspondences without Ground Truth
We present a quality assessment procedure for correspondence estimation based on geometric coherence rather than ground truth. The procedure can be used for performance evaluation...
Qingxiong Yang, R. Matt Steele, David Nisté...