Recommendation System Based on Clustering Techniques Using Collaborative Filtering Method-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Recommendation System Based on Clustering Techniques Using Collaborative Filtering Method

Published:2023 Issue: Volume: Page:29-36
ISSN:2367-3370
Container-title:Intelligent Sustainable Systems
language:
Short-container-title:

Author:

Swathi Mirthika G. L.,Sivakumar B.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-1726-6_3

Reference20 articles.

1. Kuanr M, Mohapatra P, Piri J (2021) Health recommender system for cervical cancer prognosis in women. In: 2021 6th international conference on inventive computation technologies (ICICT), pp 673–679

2. Stellefson M, Paige SR, Alber JM, Chaney BH, Chaney D, Apperson A, Mohan A (2019) Association between health literacy, electronic health literacy, disease-specific knowledge, and health-related quality of life among adults with chronic obstructive pulmonary disease: cross-sectional study. J Med Internet Res 21(6):e12165. https://doi.org/10.2196/12165.PMID:31172962;PMCID:PMC6592488

3. Wiesner M, Pfeifer D (2014) Health recommender systems: concepts, requirements, technical basics and challenges. Int J Environ Res Public Health 11(3):2580–2607

4. Morales LF, Granda P-D, Reátegui R, Barba-Guaman L (2022) Drug recommendation system for diabetes using a collaborative filtering and clustering approach: development and performance evaluation. J Med Internet Res 24(7):e37233

5. Asthana S, Megahed A, Strong R (2017) A recommendation system for proactive health monitoring using IoT and wearable technologies. In 2017 IEEE international conference on AI & mobile services (AIMS), pp 14–21. IEEE

Cited by 1 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. Gaze Corporate: A Corporate Profiling Website;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

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