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» Symbolic data analysis tools for recommendation systems
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IIR
2010
13 years 9 months ago
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
DOLAP
2009
ACM
14 years 2 months ago
Query recommendations for OLAP discovery driven analysis
Recommending database queries is an emerging and promising field of investigation. This is of particular interest in the domain of OLAP systems where the user is left with the te...
Arnaud Giacometti, Patrick Marcel, Elsa Negre, Arn...
CC
2004
Springer
142views System Software» more  CC 2004»
14 years 1 months ago
A Symbolic Approach to Bernstein Expansion for Program Analysis and Optimization
Abstract. Several mathematical frameworks for static analysis of programs have been developed in the past decades. Although these tools are quite useful, they have still many limit...
Philippe Clauss, Irina Tchoupaeva
SIGSOFT
2009
ACM
14 years 8 months ago
DebugAdvisor: a recommender system for debugging
In large software development projects, when a programmer is assigned a bug to fix, she typically spends a lot of time searching (in an ad-hoc manner) for instances from the past ...
B. Ashok, Joseph M. Joy, Hongkang Liang, Sriram K....
ACSW
2007
13 years 9 months ago
A Grid Based e-Research Platform for Clinical Management in the Human Respiratory and Vascular System
A Grid based e-Research platform is being developed for providing a simulation-based virtual reality environment for clinical management and therapy treatment. The development of ...
Sherman Cheung, Xingchen Chu, Shengjin Xu, Rajkuma...