Amanote Research
Register
Sign In
Group Recommending: A Methodological Approach Based on Bayesian Networks
doi 10.1109/icdew.2007.4401074
Full Text
Open PDF
Abstract
Available in
full text
Date
April 1, 2007
Authors
Luis M. de Campos
Juan M. Fernandez-Luna
Juan F. Huete
Miguel A. Rueda-Morales
Publisher
IEEE
Related search
A Skeleton-Based Approach to Learning Bayesian Networks From Data
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Improving Users’ Product Acceptability: An Approach Based on Bayesian Networks and a Simulated Annealing Algorithm
International Journal of Production Research
Industrial
Manufacturing Engineering
Strategy
Management Science
Management
Operations Research
Recommending Mobile Microblog Users via a Tensor Factorization Based on User Cluster Approach
Wireless Communications and Mobile Computing
Computer Networks
Electronic Engineering
Information Systems
Electrical
Communications
BayesChess: A Computer Chess Program Based on Bayesian Networks
Pattern Recognition Letters
Signal Processing
Computer Vision
Pattern Recognition
Artificial Intelligence
Software
Bayesian Approach to Learn Bayesian Networks Using Data and Constraints
Indoor Location Using Wireless Networks Based on Bayesian Reasoning
A Bayesian Approach to Ranking Private Companies Based on Predictive Indicators
SSRN Electronic Journal
Recommending Locations Based on Users’ Periodic Behaviors
Mobile Information Systems
Computer Networks
Computer Science Applications
Communications
Modeling Customer Satisfaction in Microfinance Sector: A Fuzzy Bayesian Networks Approach
International Journal of Engineering Business Management
Management Science
Human Resource Management
Operations Research
Organizational Behavior