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» A random walk approach to sampling hidden databases
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CORR
2010
Springer
177views Education» more  CORR 2010»
14 years 9 months ago
Supervised Random Walks: Predicting and Recommending Links in Social Networks
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
Lars Backstrom, Jure Leskovec
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
15 years 10 months ago
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
Mohsen Jamali, Martin Ester
ICDAR
2009
IEEE
14 years 7 months ago
A Multi-Hypothesis Approach for Off-Line Signature Verification with HMMs
In this paper, an approach based on the combination of discrete Hidden Markov Models (HMMs) in the ROC space is proposed to improve the performance of off-line signature verificat...
Luana Batista, Eric Granger, Robert Sabourin
KDD
2006
ACM
200views Data Mining» more  KDD 2006»
15 years 10 months ago
A Random-Walk Based Scoring Algorithm Applied to Recommender Engines
Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...
Augusto Pucci, Marco Gori, Marco Maggini
IJCAI
2007
14 years 11 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci