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Sorec: social recommendation using probabilistic matrix factorization
(ACM, 2008)
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system confronts. Many existing approaches to recommender ...
Diffusionrank: a possible penicillin for web spamming
(2007)
While the PageRank algorithm has proven to be very effective for ranking Web pages, the rank scores of Web pages can be manipulated. To handle the manipulation problem and to cast a new insight on the Web structure, we ...
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
(2009)
[no abstract available]
A census of human soluble protein complexes
(Elsevier, 2012-08-11)
Cellular processes often depend on stable physical associations between proteins. Despite recent progress, knowledge of the composition of human protein complexes remains limited. To close this gap, we applied an integrative ...
Mining social networks using heat diffusion processes for marketing candidates selection
(ACM, 2008)
Social Network Marketing techniques employ pre-existing social networks to increase brands or products awareness through word-of-mouth promotion. Full understanding of social network marketing and the potential candidates ...
Learning latent semantic relations from clickthrough data for query suggestion
(2008)
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to the complexity of the Web structure and the ...
Predictive random graph ranking on the web
(2006)
The incomplete information about the Web structure causes inaccurate results of various ranking algorithms. In this paper, we propose a solution to this problem by formulating a new framework called, Predictive Random Graph ...
NHDC and PHDC: Non-propagating and propagating heat diffusion classifiers
(12th International Conference on Neural Information Processing, 2005)
Abstract - By imitating the way that heat flows in a medium with a geometric structure, we propose two novel classification algorithms, Non-propagating Heat Diffusion Classifier (NHDC) and Propagating Heat Diffusion ...
A point-distribution index and its application to sensor-grouping in wireless sensor networks
(ACM, 2006)
We propose [i], a novel index for evaluation of point-distribution. [i] is the minimum distance etween each pair of points normalized by the average distance between each pair of points. We find that a set of points that ...
Learning with Consistency between Inductive Functions and Kernels
(2009)
[no abstract available]










