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» Collaborative Filtering Based on User Trends
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GFKL
2006
Springer
102views Data Mining» more  GFKL 2006»
13 years 9 months ago
Collaborative Filtering Based on User Trends
Panagiotis Symeonidis, Alexandros Nanopoulos, Apos...
IUI
2010
ACM
14 years 2 months ago
Personalized news recommendation based on click behavior
Online news reading has become very popular as the web provides access to news articles from millions of sources around the world. A key challenge of news websites is to help user...
Jiahui Liu, Peter Dolan, Elin Rønby Pederse...
EPIA
2009
Springer
13 years 9 months ago
Item-Based and User-Based Incremental Collaborative Filtering for Web Recommendations
Abstract. In this paper we propose an incremental item-based collaborative filtering algorithm. It works with binary ratings (sometimes also called implicit ratings), as it is typi...
Catarina Miranda, Alípio Mário Jorge
CHI
2005
ACM
14 years 5 months ago
Context-aware collaborative filtering system: predicting the user's preferences in ubiquitous computing
In this paper I propose a context-aware collaborative filtering system that can predict a user's preference in different context situations based on past user-experiences. Th...
Annie Chen
SIGIR
2008
ACM
13 years 5 months ago
EigenRank: a ranking-oriented approach to collaborative filtering
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
Nathan Nan Liu, Qiang Yang