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» Language Models of Collaborative Filtering
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SIGIR
2004
ACM
14 years 1 months ago
A nonparametric hierarchical bayesian framework for information filtering
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
Kai Yu, Volker Tresp, Shipeng Yu
AFL
2011
98views more  AFL 2011»
12 years 7 months ago
Accepting Networks of Evolutionary Processors with Subregular Filters
In this paper, we propose a new variant of Accepting Networks of Evolutionary Processors, in which the operations can be applied only arbitrarily to the words, while the filters ...
Florin Manea, Bianca Truthe
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
14 years 8 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
CIKM
2009
Springer
13 years 5 months ago
A tag recommendation system for folksonomy
Social bookmarking tools become more and more popular nowadays and tagging is used to organize information and allow users to recall or search the resources. Users need to type th...
Ning Zhang, Yuan Zhang, Jie Tang
PRL
2008
88views more  PRL 2008»
13 years 7 months ago
Time-efficient spam e-mail filtering using n-gram models
In this paper, we propose spam e-mail filtering methods having high accuracies and low time complexities. The methods are based on the n-gram approach and a heuristics which is re...
Ali Çiltik, Tunga Güngör