Scalable online product recommendation engine based on implicit feature extraction domain
Author:
Affiliation:
1. Department of Computer Science, Atma Ram Sanatan Dharma College, University of Delhi, New Delhi, India
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference18 articles.
1. Collaborative filtering using weighted majority prediction algorithms;Nakamura;In ICML,1998
2. Web usage mining to improve the design of an e-commerce website: OrOliveSur, Com;Carmona;Expert Systems with Applications,2012
3. Kelly D. and Belkin N.J. , Reading time, scrolling and interaction: Exploring implicit sources of user preferences for relevance feedback, Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, 2001, pp.408–409.
4. Item-based top-N recommendation resilient to aggregated information revelation;Li;Knowledge-Based Systems,2014
5. A hybrid of sequential rules and collaborative filtering for product recommendation;Liu;Information Sciences,2009
Cited by 9 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. A hybrid recommendation algorithm based on user nearest neighbor model;Scientific Reports;2024-07-25
2. Personalized Smart Travel with Identification and Payment;Springer Proceedings in Business and Economics;2024
3. Product Recommendation System Using Tunicate Swarm Magnetic Optimization Algorithm-Based Black Hole Renyi Entropy Fuzzy Clustering and K-Nearest Neighbour;Journal of Information & Knowledge Management;2021-06-23
4. PrefMap: Visualization of fuzzy pairwise preference structures;Journal of Intelligent & Fuzzy Systems;2020-10-07
5. SVR-based collaborative filtering algorithm: From dense to sparse;Journal of Computational Methods in Sciences and Engineering;2019-11-11
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