Research on personalized recommendation algorithm based on user preference in mobile e-commerce
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems
Link
http://link.springer.com/article/10.1007/s10257-019-00401-2/fulltext.html
Reference14 articles.
1. Al Omoush KS, Al-Qirem RM, Al Hawatmah ZM (2018) The degree of e-business entrepreneurship and long-term sustainability: an institutional perspective. Inf Syst E-Bus Manag 16:29–56
2. Alvaradouribe J, Gómezoliva A, Barreraanimas AY et al (2018) HyRA: a hybrid recommendation algorithm focused on smart POI. Ceutí as a study scenario. Sensors 18(3):890
3. Araibi N, Ahmed EB, Abdessalem WKB (2016) $$\left( {{\mathcal{I}\mathcal{R}\mathcal{O}\mathcal{R}\mathcal{S}}} \right)$$: intelligent recommendation of RSS feeds. Vietnam J Comput Sci 3(1):47–56
4. Chi HY, Chen CC, Cheng WH et al (2016) UbiShop: commercial item recommendation using visual part-based object representation. Multimed Tools Appl 75(23):16093–16115
5. Chu WT, Tsai YL (2017) A hybrid recommendation system considering visual information for predicting favorite restaurants. World Wide Web Internet Web Inf Syst 20(6):1–19
Cited by 23 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. Analysis of the Evolution of Knowledge Payment E-Commerce Model under Intelligent Recommendation Technology;E-Commerce Letters;2024
2. High-Performance E-Commerce Personalized Recommendation System Based on Matrix Factorization and Convolutional Neural Networks;2023 IEEE International Conference on Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario (ICPSITIAGS);2023-12-28
3. Personalized Recommendation Algorithm for Electronic Commerce Based on Artificial Intelligence Technology;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24
4. E-commerce User Recommendation Algorithm Based on Social Relationship Characteristics and Improved K-Means Algorithm;International Journal of Computational Intelligence Systems;2023-08-31
5. Estimation of Missing Entries in Preference Pairwise Matrices Through Nuclear Norm Minimization;International Journal of Information Technology & Decision Making;2023-07-14
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