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EPIA
2009
Springer
13 years 11 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
RECSYS
2010
ACM
13 years 7 months ago
Affiliation recommendation using auxiliary networks
Social network analysis has attracted increasing attention in recent years. In many social networks, besides friendship links amongst users, the phenomenon of users associating th...
Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu,...
LWA
2007
13 years 9 months ago
Know the Right People? Recommender Systems for Web 2.0
Web 2.0 applications like Flickr, YouTube, or Del.icio.us are increasingly popular online communities for creating, editing and sharing content. However, the rapid increase in siz...
Stefan Siersdorfer, Sergej Sizov, Paul Clough
ECWEB
2004
Springer
91views ECommerce» more  ECWEB 2004»
14 years 1 months ago
On the Use of Bipolar Scales in Preference-Based Recommender Systems
Recommendations in e–commerce collaborative filtering are based on predicting the preference of a user for a given item according to historical records of other user’s prefere...
Miguel-Ángel Sicilia, Elena García B...
IEEEARES
2007
IEEE
14 years 1 months ago
Reputation Management Survey
Electronic markets, distributed peer-to-peer applications and other forms of online collaboration are all based on mutual trust, which enables transacting peers to overcome the un...
Sini Ruohomaa, Lea Kutvonen, Eleni Koutrouli