Evolutionary computing in recommender systems: a review of recent research-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Evolutionary computing in recommender systems: a review of recent research

Published:2016-01-18 Issue:3 Volume:16 Page:441-462
ISSN:1567-7818
Container-title:Natural Computing
language:en
Short-container-title:Nat Comput

Author:

Horváth Tomáš,de Carvalho André C. P. L. F.

Funder

PNPD/CAPES

Scientific Grant Agency of the Ministry of Education of Slovak Republic and the Slovak Academy of Sciences

CNPq

FAPESP

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications

Link

http://link.springer.com/article/10.1007/s11047-016-9540-y/fulltext.html

Reference170 articles.

1. Abbas A, Zhang L, Khan S (2015) A survey on context-aware recommender systems based on computational intelligence techniques. Computing 97(7):667–690

2. Abdi H, Williams LJ (2010) Principal component analysis. Wiley Interdiscip Rev Comput Stat 2(4):433–459

3. Adomavicius G, Mobasher B, Ricci F, Tuzhilin A (2011) Context-aware recommender systems. AI Mag 32(3):67–80

4. Agarwal V, Bharadwaj K (2011) Trust-enhanced recommendation of friends in web based social networks using genetic algorithms to learn user preferences. In: Trends in computer science, engineering and information technology, communications in computer and information science, vol 204. Springer, Berlin Heidelberg, pp 476–485

5. Agarwal V, Bharadwaj K (2013) A collaborative filtering framework for friends recommendation in social networks based on interaction intensity and adaptive user similarity. Soc Netw Anal Min 3(3):359–379

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Economic recommender systems – a systematic review;Electronic Commerce Research and Applications;2024-01

2. A many objective commercial recommendation algorithm via Game-Based core node extraction;Egyptian Informatics Journal;2023-12

3. Building a Recommender System Using Collaborative Filtering Algorithms and Analyzing its Performance;IoT, Cloud and Data Science;2023-02-27

4. Behaviour recommendations with a deep learning model and genetic algorithm for health debt characterisation;Journal of Biomedical Informatics;2023-01

5. Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms;IEEE Transactions on Games;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3