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RECSYS
2009
ACM
15 years 4 months ago
iTag: a personalized blog tagger
We present iTag, a personalized tag recommendation system for blogs. iTag improves on the state-of-the-art in tag recommendation systems in two ways. First, iTag has much higher p...
Michael Hart, Rob Johnson, Amanda Stent
CORR
2002
Springer
97views Education» more  CORR 2002»
14 years 11 months ago
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
This paper presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not recommended (thumbs down). The classification of a review is...
Peter D. Turney
JITT
2011
177views more  JITT 2011»
14 years 6 months ago
Mobile Recommender Systems
Mobile phones are becoming a primary platform for information access and when coupled with recommender systems technologies they can become key tools for mobile users both for lei...
Francesco Ricci
COOPIS
2004
IEEE
15 years 3 months ago
Paradigms for Decentralized Social Filtering Exploiting Trust Network Structure
Recommender systems, notably collaborative and hybrid information filtering approaches, vitally depend on neighborhood formation, i.e., selecting small subsets of most relevant pee...
Cai-Nicolas Ziegler, Georg Lausen
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
15 years 5 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