A Conscious Cross-Breed Recommendation Approach Confining Cold-Start in Electronic Commerce Systems-Reference-Cited by-同舟云学术

A Conscious Cross-Breed Recommendation Approach Confining Cold-Start in Electronic Commerce Systems

Published:2023 Issue: Volume:11 Page:82857-82870
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Patro S. Gopal Krishna¹,Mishra Brojo Kishore¹,Panda Sanjaya Kumar²^ORCID,Hota Amrutashree³,Kumar Raghvendra¹^ORCID,Lyu Shiyang⁴^ORCID,Taniar David⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering (CSE), GIET University, Gunupur, India

2. Department of Computer Science and Engineering (CSE), National Institute of Technology at Warangal, Warangal, India

3. Department of Chemistry, GIET University, Gunupur, India

4. Faculty of Information Technology, Monash University, Clayton, Melbourne, VIC, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10122530.pdf?arnumber=10122530

Reference27 articles.

1. Sequential User-based Recurrent Neural Network Recommendations

2. Recommender system application developments: A survey

3. A configuration-based recommender system for supporting e-commerce decisions

4. A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques

5. Institutional knowledge at Singapore Management University modeling temporal adoptions using dynamic matrix factorization;chua;Proc IEEE 13th Int Conf Comput Vis,2013

Cited by 2 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. MSCMGTB: A Novel Approach for Multimodal Social Media Content Moderation Using Hybrid Graph Theory and Bio-Inspired Optimization;IEEE Access;2024

2. Exploring the Landscape of Hybrid Recommendation Systems in E-Commerce: A Systematic Literature Review;IEEE Access;2024