Amanote Research

Amanote Research

    RegisterSign In

Hybrid Semantic Recommender System for Chemical Compounds

Lecture Notes in Computer Science - Germany
doi 10.1007/978-3-030-45442-5_12
Full Text
Open PDF
Abstract

Available in full text

Categories
Computer ScienceTheoretical Computer Science
Date

January 1, 2020

Authors
Márcia BarrosAndré MoitinhoFrancisco M. Couto
Publisher

Springer International Publishing


Related search

Design and Implementation of Semantic and Content Based Hybrid Recommender System for Java Programs

International Journal of Computer Applications
2016English

A Multimedia Semantic Recommender System for Cultural Heritage Applications

2011English

A Hybrid Recommender System Based on User-Recommender Interaction

Mathematical Problems in Engineering
MathematicsEngineering
2015English

A Scalable, Accurate Hybrid Recommender System

2010English

GeoSRS: A Hybrid Social Recommender System for Geolocated Data

Information Systems
HardwareInformation SystemsArchitectureSoftware
2016English

Hybrid Recommender System Using Emotional Fingerprints Model

International Journal of Information Retrieval Research
2019English

Framework for Hybrid Book Recommender System Based on Opinion Mining

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

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy