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SADM
2010
196views more  SADM 2010»
13 years 4 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
SIGMOD
2010
ACM
362views Database» more  SIGMOD 2010»
13 years 4 months ago
Data warehousing and analytics infrastructure at facebook
Scalable analysis on large data sets has been core to the functions of a number of teams at Facebook - both engineering and nonengineering. Apart from ad hoc analysis of data and ...
Ashish Thusoo, Zheng Shao, Suresh Anthony, Dhruba ...
SOICT
2010
13 years 4 months ago
Constraint-based local search for solving non-simple paths problems on graphs: application to the routing for network covering p
Routing problems have been considered as central problems in the fields of transportation, distribution and logistics. LS(Graph) is a generic framework allowing to model and solve...
Pham Quang Dung, Phan-Thuan Do, Yves Deville, Tuon...
CORR
2010
Springer
169views Education» more  CORR 2010»
13 years 4 months ago
Recommender Systems by means of Information Retrieval
In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
Alberto Costa, Fabio Roda
CORR
2011
Springer
196views Education» more  CORR 2011»
13 years 1 months ago
Privacy-Enhanced Reputation-Feedback Methods to Reduce Feedback Extortion in Online Auctions
In this paper, we study methods for improving the utility and privacy of reputation scores for online auctions, such as used in eBay, so as to reduce the effectiveness of feedbac...
Michael T. Goodrich, Florian Kerschbaum