Top-N Recommender Systems Using Genetic Algorithm-Based Visual-Clustering Methods-Reference-Cited by-同舟云学术

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Top-N Recommender Systems Using Genetic Algorithm-Based Visual-Clustering Methods

Published:2016-06-24 Issue:7 Volume:8 Page:54
ISSN:2073-8994
Container-title:Symmetry
language:en
Short-container-title:Symmetry

Author:

Marung Ukrit,Theera-Umpon Nipon,Auephanwiriyakul Sansanee

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Link

http://www.mdpi.com/2073-8994/8/7/54/pdf

Reference50 articles.

1. Content-based Recommender Systems: State of the Art and Trends;Lops,2011

2. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

3. CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering

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1. Genetic algorithms: theory, genetic operators, solutions, and applications;Evolutionary Intelligence;2023-02-03

2. Content Based Recommender System: Methodologies, Performance, Evaluation and Application;2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2022-12-16

3. Hybrid Sparrow Clustered (HSC) Algorithm for Top-N Recommendation System;Symmetry;2022-04-11

4. An Improved Recommender System Solution to Mitigate the Over-Specialization Problem Using Genetic Algorithms;Electronics;2022-01-13

5. Optimization of fuzzy similarity by genetic algorithm in user‐based collaborative filtering recommender systems;Expert Systems;2022-01-04

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