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KDD
2006
ACM
200views Data Mining» more  KDD 2006»
15 years 10 months ago
A Random-Walk Based Scoring Algorithm Applied to Recommender Engines
Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...
Augusto Pucci, Marco Gori, Marco Maggini
SIGMOD
1999
ACM
87views Database» more  SIGMOD 1999»
15 years 2 months ago
On Random Sampling over Joins
A major bottleneck in implementing sampling as a primitive relational operation is the ine ciency ofsampling the output of a query. It is not even known whether it is possible to ...
Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasa...
IJCAI
2007
14 years 11 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci
ICALP
2007
Springer
15 years 4 months ago
Reconciling Data Compression and Kolmogorov Complexity
While data compression and Kolmogorov complexity are both about effective coding of words, the two settings differ in the following respect. A compression algorithm or compressor...
Laurent Bienvenu, Wolfgang Merkle
EUROCRYPT
2003
Springer
15 years 3 months ago
Why Provable Security Matters?
Abstract. Recently, methods from provable security, that had been developped for the last twenty years within the research community, have been extensively used to support emerging...
Jacques Stern