Now showing items 1-10 of 11
Learning latent semantic relations from clickthrough data for query suggestion
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 ...
Diffusionrank: a possible penicillin for web spamming
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 ...
Predictive random graph ranking on the web
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
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 ...
Predictive ranking: a novel page ranking approach by estimating the web structure
PageRank (PR) is one of the most popular ways to rank web pages. However, as the Web continues to grow in volume, it is becoming more and more difficult to crawl all the available pages. As a result, the page ranks computed ...
Mining social networks using heat diffusion processes for marketing candidates selection
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 ...
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
[no abstract available]
Learning with Consistency between Inductive Functions and Kernels
[no abstract available]
A Maximal Eigenvalue Method for Detecting Process Representative Genes by Integrating Data from Multiple Sources
An important problem in computational biology is the identification of candidate genes which can be considered as representative of the different cellular processes taking place in the cell as it evolves through time. ...