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» Symbolic data analysis tools for recommendation systems
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KDD
2006
ACM
122views Data Mining» more  KDD 2006»
14 years 8 months ago
Tensor-CUR decompositions for tensor-based data
Motivated by numerous applications in which the data may be modeled by a variable subscripted by three or more indices, we develop a tensor-based extension of the matrix CUR decom...
Michael W. Mahoney, Mauro Maggioni, Petros Drineas
TKDE
2010
186views more  TKDE 2010»
13 years 6 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...
VOSS
2004
Springer
152views Mathematics» more  VOSS 2004»
14 years 1 months ago
Symbolic Representations and Analysis of Large Probabilistic Systems
Abstract. This paper describes symbolic techniques for the construction, representation and analysis of large, probabilistic systems. Symbolic approaches derive their efficiency by...
Andrew S. Miner, David Parker
IJCAI
2007
13 years 9 months ago
An Analysis of the Use of Tags in a Blog Recommender System
The Web is experiencing an exponential growth in the use of weblogs or blogs, websites containing dated journal-style entries. Blog entries are generally organised using informall...
Conor Hayes, Paolo Avesani, Sriharsha Veeramachane...
PC
1998
110views Management» more  PC 1998»
13 years 7 months ago
Compiler-Based Tools for Analyzing Parallel Programs
In this paper, we present several tools for analyzing parallel programs. The tools are built on top of a compiler infrastructure, which provides advanced capabilities for symbolic...
Brian Armstrong, Seon Wook Kim, Insung Park, Micha...