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WAIM
2005
Springer
13 years 11 months ago
Research Paper Recommender Systems: A Subspace Clustering Approach
Researchers from the same lab often spend a considerable amount of time searching for published articles relevant to their current project. Despite having similar interests, they c...
Nitin Agarwal, Ehtesham Haque, Huan Liu, Lance Par...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 6 months ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos
GFKL
2005
Springer
114views Data Mining» more  GFKL 2005»
13 years 11 months ago
Attribute-aware Collaborative Filtering
One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Rec...
Karen H. L. Tso, Lars Schmidt-Thieme
TKDE
2010
186views more  TKDE 2010»
13 years 3 months ago
A Unified Framework for Providing Recommendations in Social Tagging Systems Based on Ternary Semantic Analysis
—Social Tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize items (songs, pictures, web links, products, etc.). Social tag...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
14 years 6 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010