A Proficient Web Recommender System Using Hybrid Possiblistic Fuzzy Clustering and Bayesian Model Approach

International Journal of Intelligent Engineering and Systems - Japan
doi 10.22266/ijies2018.1231.19
Full Text
Abstract

Available in full text

Date
Authors
Publisher

The Intelligent Networks and Systems Society

Related search

Hybrid Recommender System Using Emotional Fingerprints Model

International Journal of Information Retrieval Research
2019English

A Hotel Recommender System Using Context Based Clustering

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

A Hybrid Web Recommender System Based on Cellular Learning Automata

2010English

A Hybrid Approach for Personalized Recommender System Using Weighted TFIDF on RSS Contents

International Journal of Computer Applications Technology and Research
2016English

A Hybrid Recommender System Using Trust and Bi-Clustering in Order to Increase the Efficiency of Collaborative Filtering

Signal and Data Processing
2018English

A Hybrid Recommender System Based on User-Recommender Interaction

Mathematical Problems in Engineering
MathematicsEngineering
2015English

Hybrid Intrusion Detection System Model Using Clustering, Classification and Decision Table

IOSR Journal of Computer Engineering
2013English

A Scalable, Accurate Hybrid Recommender System

2010English

Fuzzy Inference System Model From Non-Fuzzy Clustering Output

Journal of Engineering and Applied Sciences
Engineering
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy