A visual-semantic approach for building content-based recommender systems-Reference-Cited by-同舟云学术

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A visual-semantic approach for building content-based recommender systems

Published:2023-07 Issue: Volume:117 Page:102243
ISSN:0306-4379
Container-title:Information Systems
language:en
Short-container-title:Information Systems

Author:

Bendouch Mounir M.,Frasincar Flavius,Robal Tarmo^ORCID

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference62 articles.

1. Evolution of the Internet and its Cores;Zhang;New J. Phys.,2008

2. The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things;Turner,2014

3. Recommendation systems: A review;Rafsanjani;Int. J. Comput. Eng. Res.,2013

4. Recommender Systems Handbook;Ricci,2015

5. Making web users’ domain models explicit by applying ontologies;Robal,2007

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1. HyGate-GCN: Hybrid-Gate-Based Graph Convolutional Networks with dynamical ratings estimation for personalized POI recommendation;Expert Systems with Applications;2024-12

2. TaskFinder: A Semantics-Based Methodology for Visualization Task Recommendation;Analytics;2024-07-04

3. An online-to-offline service recommendation method based on two-layer knowledge networks;Information Sciences;2023-11

4. Enhancing Decision Making with Semantic-Based Hybrid Recommender System;2023 International Conference on Decision Aid Sciences and Applications (DASA);2023-09-16

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