Fusion-Based Recommender System for Serendipity-Oriented Recommendations

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
doi 10.3156/jsoft.25.524
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Japan Society for Fuzzy Theory and Intelligent Informatics

Related search

A Hybrid Recommender System Based on User-Recommender Interaction

Mathematical Problems in Engineering
MathematicsEngineering
2015English

Improving Serendipity and Accuracy in Cross-Domain Recommender Systems

Lecture Notes in Business Information Processing
ControlSystems EngineeringInformation SystemsBusinessInternational ManagementSimulationManagementManagement Information SystemsModeling
2017English

A Recommender System for Library Based on Hadoop Ecosystem

DEStech Transactions on Materials Science and Engineering
2017English

In-Memory, Distributed Content-Based Recommender System

Journal of Intelligent Information Systems
Information SystemsComputer NetworksHardwareCommunicationsArchitectureArtificial IntelligenceSoftware
2013English

A Configuration-Based Recommender System for Supporting E-Commerce Decisions

European Journal of Operational Research
Information SystemsSimulationManagement ScienceManagementComputer ScienceModelingOperations Research
2017English

Enhanced Recommendations for E-Learning Authoring Tools Based on a Proactive Context-Aware Recommender

2013English

A Fuzzy Preference Tree-Based Recommender System for Medical Database

International Journal of Engineering and Technology(UAE)
ArchitectureHardwareEngineeringChemical EngineeringBiotechnologyEnvironmental EngineeringComputer Science
2017English

Framework for Hybrid Book Recommender System Based on Opinion Mining

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

A Multi Agent Recommender System That Utilises Consumer Reviews in Its Recommendations

International Journal of Intelligent Information and Database Systems
Information Systems
2008English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy