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CW
2003
IEEE
15 years 2 months ago
Development of a recommendation system with multiple subjective evaluation process models
Current BtoC recommendation services utilize consumers’ purchased log as criteria for selecting information, yet it includes little information of the reason why he bought the i...
Emi Yano, Emi Sueyoshi, Isao Shinohara, Toshikazu ...
60
Voted
FUZZIEEE
2007
IEEE
15 years 4 months ago
A Feature Selection Method Based on Choquet Integral and Typicality Analysis
— An iterative feature selection method based on feature typicality and interactivity analysis is presented in this paper. The aim is to enhance model interpretability by selecti...
Cyril Mazaud, Jan Rendek, Vincent Bombardier, Laur...
105
Voted
CIKM
2006
Springer
15 years 1 months ago
Coupling feature selection and machine learning methods for navigational query identification
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
Yumao Lu, Fuchun Peng, Xin Li, Nawaaz Ahmed
GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
15 years 3 months ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis
72
Voted
TSMC
2008
109views more  TSMC 2008»
14 years 9 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...