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IJCAI
2007
13 years 5 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
KDD
2006
ACM
200views Data Mining» more  KDD 2006»
14 years 4 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
SIGIR
2008
ACM
13 years 3 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
WWW
2009
ACM
14 years 4 months ago
Tag ranking
Social media sharing web sites like Flickr allow users to annotate images with free tags, which significantly facilitate Web image search and organization. However, the tags assoc...
Dong Liu, Xian-Sheng Hua, Linjun Yang, Meng Wang, ...
IUI
2010
ACM
13 years 9 months ago
Towards a reputation-based model of social web search
While web search tasks are often inherently collaborative in nature, many search engines do not explicitly support collaboration during search. In this paper, we describe HeyStaks...
Kevin KcNally, Michael P. O'Mahony, Barry Smyth, M...