Now showing items 1-9 of 9
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 ...
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
[no abstract available]
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 ...
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 ...
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 ...
Learning with Consistency between Inductive Functions and Kernels
[no abstract available]
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 ...
Sorec: social recommendation using probabilistic matrix factorization
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 ...