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» Methods and metrics for cold-start recommendations
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GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
14 years 5 days ago
Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem
Recommender systems are used by an increasing number of e-commerce websites to help the customers to find suitable products from a large database. One of the most popular techniqu...
Stefan Hauger, Karen H. L. Tso, Lars Schmidt-Thiem...
TSMC
2008
109views more  TSMC 2008»
13 years 5 months ago
Providing Justifications in Recommender Systems
Abstract--Recommender systems are gaining widespread acceptance in e-commerce applications to confront the "information overload" problem. Providing justification to a re...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...
WWW
2005
ACM
14 years 6 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...
CASCON
1996
96views Education» more  CASCON 1996»
13 years 7 months ago
Real-time complexity metric tools for visualAge smalltalk and C++
"Anything that one cannot measure cannot be controlled." Software metrics provide insight into the quality of software, informing the developers about the status of a pr...
Subroto Bhattacharya, Stephen G. Graham
EDBTW
2010
Springer
14 years 25 days ago
A method for evaluating marketer re-identification risk
Disclosures of health databases for secondary purposes is increasing rapidly. In this paper, we develop and evaluate a reidentification risk metric for the case where an intruder ...
Fida Kamal Dankar, Khaled El Emam