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» A Knowledge Recommend System Based on User Model
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IIR
2010
13 years 9 months ago
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
CHI
2010
ACM
14 years 2 months ago
Short and tweet: experiments on recommending content from information streams
More and more web users keep up with newest information through information streams such as the popular microblogging website Twitter. In this paper we studied content recommendat...
Jilin Chen, Rowan Nairn, Les Nelson, Michael Berns...
ISM
2005
IEEE
109views Multimedia» more  ISM 2005»
14 years 1 months ago
A Trust Model for Ubiquitous Systems based on Vectors of Trust Values
Ubiquitous Computing foresees a massively networked world supporting a population of diverse but cooperating mobile devices where trust relationships between entities are uncertai...
Hassan Jameel, Hung Le Xuan, Umar Kalim, Ali Sajja...
IFIPTM
2009
109views Management» more  IFIPTM 2009»
13 years 5 months ago
Elimination of Subjectivity from Trust Recommendation
In many distributed applications, a party who wishes to make a transaction requires that it has a certain level of trust in the other party. It is frequently the case that the part...
Omar Hasan, Lionel Brunie, Jean-Marc Pierson, Elis...
NIPS
2007
13 years 9 months ago
Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data
Content-based image suggestion (CBIS) targets the recommendation of products based on user preferences on the visual content of images. In this paper, we motivate both feature sel...
Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila