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» Symbolic data analysis tools for recommendation systems
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LCPC
2005
Springer
14 years 1 months ago
Interprocedural Symbolic Range Propagation for Optimizing Compilers
Abstract. We have designed and implemented an interprocedural algorithm to analyze symbolic value ranges that can be assumed by variables at any given point in a program. Our algor...
Hansang Bae, Rudolf Eigenmann
FMCAD
1998
Springer
13 years 12 months ago
Symbolic Simulation: An ACL2 Approach
Executable formal speci cation can allow engineers to test (or simulate) the speci ed system on concrete data before the system is implemented. This is beginning to gain acceptance...
J. Strother Moore
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 8 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
WWW
2005
ACM
14 years 8 months ago
Improving recommendation lists through topic diversification
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
IFIP12
2009
13 years 5 months ago
User Recommendations based on Tensor Dimensionality Reduction
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 tagging...
Panagiotis Symeonidis