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EEE
2005
IEEE
14 years 1 months ago
Semantic Feedback for Hybrid Recommendations in Recommendz
In this paper we discuss the Recommendz 1 recommender system. This domain-independent system combines the advantages of collaborative and content-based filtering in a novel way. ...
Matthew Garden, Gregory Dudek
CSCW
2010
ACM
14 years 4 months ago
Egalitarians at the gate: one-sided gatekeeping practices in social media
Although Wikipedia has increasingly attracted attention for its in-depth and timely coverage of breaking news stories, the social dynamics of how Wikipedia editors process breakin...
Brian Keegan, Darren Gergle
RECSYS
2009
ACM
14 years 2 months ago
Using a trust network to improve top-N recommendation
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
Mohsen Jamali, Martin Ester
KBS
2006
127views more  KBS 2006»
13 years 7 months ago
Collaborative Recommending using Formal Concept Analysis
We show how Formal Concept Analysis (FCA) can be applied to Collaborative Recommenders. FCA is a mathematical method for analysing binary relations. Here we apply it to the relati...
Patrick du Boucher-Ryan, Derek G. Bridge
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
14 years 1 months ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett