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» Providing Justifications in Recommender Systems
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HCI
2007
13 years 9 months ago
Hit Me Baby One More Time: A Haptic Rating Interface
As the importance of recommender systems increases, in combination with the explosion in data available over the internet and in our own digital libraries, we suggest an alternativ...
Christoph Bartneck, Philomena Athanasiadou, Takayu...
ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
14 years 29 days ago
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers base...
Huseyin Polat, Wenliang Du
ITRUST
2004
Springer
14 years 1 months ago
Analyzing Correlation between Trust and User Similarity in Online Communities
Abstract. Past evidence has shown that generic approaches to recommender systems based upon collaborative filtering tend to poorly scale. Moreover, their fitness for scenarios su...
Cai-Nicolas Ziegler, Georg Lausen
RECSYS
2009
ACM
14 years 10 days ago
A semantic framework for personalized ad recommendation based on advanced textual analysis
In this paper we present a hybrid recommendation system that combines ontological knowledge with content-extracted linguistic information, derived from pre-trained lexical graphs,...
Dorothea Tsatsou, Fotis Menemenis, Ioannis Kompats...
WECWIS
2005
IEEE
157views ECommerce» more  WECWIS 2005»
14 years 1 months ago
A Recommender for Targeted Advertisement of Unsought Products in E-Commerce
Recommender systems are a powerful tool for promoting sales in electronic commerce. An effective shopping recommender system can help boost the retailer’s sales by reminding cus...
Koung-Lung Lin, Jane Yung-jen Hsu, Han-Shen Huang,...