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» Effort Estimation Based on Collaborative Filtering
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SIGIR
2006
ACM
14 years 2 months ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
ESM
2000
13 years 10 months ago
Filtered Gibbs sampler for estimating blocking probabilities in WDM optical networks
Blocking probabilities in Wavelength Division Multiplex optical networks are hard to compute for realistic sized systems, even though analytical formulas for the distribution exis...
Felisa J. Vázquez-Abad, Lachlan L. H. Andre...
WAW
2010
Springer
270views Algorithms» more  WAW 2010»
13 years 6 months ago
Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks
Abstract. Motivated by social network data mining problems such as link prediction and collaborative filtering, significant research effort has been devoted to computing topologica...
Pooya Esfandiar, Francesco Bonchi, David F. Gleich...
AMDO
2010
Springer
13 years 6 months ago
Compatible Particles for Part-Based Tracking
Particle Filter methods are one of the dominant tracking paradigms due to its ability to handle non-gaussian processes, multimodality and temporal consistency. Traditionally, the e...
Brais Martínez, Marc Vivet, Xavier Binefa
IAT
2009
IEEE
14 years 3 months ago
Social Trust-Aware Recommendation System: A T-Index Approach
Collaborative Filtering based on similarity suffers from a variety of problems such as sparsity and scalability. In this paper, we propose an ontological model of trust between us...
Alireza Zarghami, Soude Fazeli, Nima Dokoohaki, Mi...