An improved memory-based collaborative filtering method based on the TOPSIS technique

Author:

Al-bashiri HaelORCID,Abdulgabber Mansoor Abdullateef,Romli Awanis,Kahtan Hasan

Funder

UMP

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference86 articles.

1. A survey of collaborative filtering techniques;X Su;Advances in Artificial Intelligence,2009

2. Recommender systems based on user reviews: the state of the art;L Chen;User Modeling and User-Adapted Interaction,2015

3. Resnick P, Iacovou N, Suchak M, Bergstrom P, Riedl J, editors. GroupLens: an open architecture for collaborative filtering of netnews. Proceedings of the 1994 ACM conference on Computer Supported Cooperative Work; 1994 October 22–26, 1994 Chapel Hill, North Carolina, USA: ACM. doi: 10.1145/192844.192905

4. Hill W, Stead L, Rosenstein M, Furnas G, editors. Recommending and evaluating choices in a virtual community of use. Proceedings of the SIGCHI conference on Human Factors in Computing Systems; 1995: ACM Press/Addison-Wesley Publishing Co.

5. Shardanand U, Maes P, editors. Social information filtering: algorithms for automating “word of mouth”. Proceedings of the SIGCHI conference on Human Factors in Computing Systems; 1995 May 07–11, 1995 Denver, Colorado, USA ACM Press/Addison-Wesley Publishing Co. doi: 10.1145/223904.223931

Cited by 26 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. Green purchasing Logistics: A lever for Ecological Performance;2024 IEEE 15th International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA);2024-05-02

2. Mitigation of the cold start problem in movie recommender systems using fuzzification of users’ social network information;2024 10th International Conference on Artificial Intelligence and Robotics (QICAR);2024-02-29

3. Collaborative-Prediction-Based Recursive Filtering for Nonlinear Systems Subject to Low-Duty-Cycle Scheduling;IEEE Transactions on Signal Processing;2024

4. Time-Aware Based Recommendation System using Gower’s Coefficients: Enhancing Personalized Recommendation;Procedia Computer Science;2024

5. A Bibliometric Analysis and Science Mapping of Recommendation Systems Research from 1987 to 2022;2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG);2023-04-05

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