Research on recommender system based on ontology and genetic algorithm-Reference-Cited by-同舟云学术

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Research on recommender system based on ontology and genetic algorithm

Published:2016-04 Issue: Volume:187 Page:92-97
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Lv Gang,Hu Chunling,Chen Shengbing

Funder

Nature Science Foundation of Anhui

Key Constructive Discipline of Hefei University

Training Object for Academic Leader of Hefei University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference20 articles.

1. Image annotation by multiple-instance learning with discriminative feature mapping and selection;Hong;IEEE Trans. Cybern.,2014

2. F. Goossen, W. IJntema, F. Frasincar et al., News personalization using the CF-IDF semantic recommender//international conference on web intelligence Min. Semant. Sogndal, 2011, pp. 10–21.

3. Image quality assessment based on matching pursuit;Hong;Inf. Sci.,2014

4. Cantador I., Bellogín A., Castells P. News@hand: a semantic web approach to recommending news//Interonal Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, Hannover, 2008, pp. 279–283.

5. Directional projection based image fusion quality metric;Hong;Inf. Sci.,2014

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1. Towards an Ontology-Based E-Learning Recommendation System;2023 3rd International Conference on Computing and Information Technology (ICCIT);2023-09-13

2. Survey on the Objectives of Recommender Systems: Measures, Solutions, Evaluation Methodology, and New Perspectives;ACM Computing Surveys;2022-12-03

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4. Cold start aware hybrid recommender system approach for E-commerce users;Soft Computing;2022-08-03

5. F-EvoRecSys: An Extended Framework for Personalized Well-Being Recommendations Guided by Fuzzy Inference and Evolutionary Computing;International Journal of Fuzzy Systems;2022-05-13

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