Product Recommendation System using Deep Learning based Recurrent Neural Network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Product Recommendation System using Deep Learning based Recurrent Neural Network

Published:2023-01-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Computer Communication and Informatics (ICCCI)
language:
Short-container-title:

Author:

Shanthi S.¹,Nirmaladevi K.¹,Mathiarasi N.¹,Tharani As. Krithika¹,Monisha A.¹,Kuppuchamy R.²,Krishnamoorthy N.³

Affiliation:

1. Kongu Engineering College,Department of Computer Science & Engineering,Perundurai,India

2. PSNA College of Engineering and Technology,Department of Computer Applications,Dindigul,Tamilnadu,India

3. Vellore Institute of Technology,Vellore Campus,Department of Software Systems and Engineering,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10128170/10128171/10128563.pdf?arnumber=10128563

Reference23 articles.

1. Incorporating textual reviews in the learning of latent factors for recommender systems

2. The impact of multi-criteria ratings in social networking sites on the performance of online recommendation agents

3. Investigation and comparison of different CNN architectures on tomato leaf disease prediction using deep learning;krishnamoorthy;AIP Conference Proceedings,2021

4. A hierarchical recommendation system for E-commerce using online user reviews

5. Contextual-boosted deep neural collaborative filtering model for interpretable recommendation

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. A Blockchain-based Trustworthy and Secure Review System for Decentralized e-Portfolio Platforms;2023 14th International Conference on Information and Communication Technology Convergence (ICTC);2023-10-11

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