Exploring Challenges and Innovations in E-Commerce Recommendation Systems: A Comprehensive Review

被引：0

作者：

Rahman, Mashfiqur ^{[1
]}

Mushfik, Samiul ^{[2
]}

Rupak, Makhdum Ahsan ^{[3
]}

Hasan, Muhammad Zubair ^{[4
]}

Bin Farukee, Minhaz ^{[5
]}

Suter, Shawrup Kumer ^{[6
]}

机构：

[1] Vanguard Australia, Melbourne, Vic, Australia

[2] Stibo DX, Dhaka, Bangladesh

[3] Kona Software Lab Ltd, Dhaka, Bangladesh

[4] Celloscope, Dhaka, Bangladesh

[5] ACI Ltd, Dhaka, Bangladesh

[6] Delivery Hero, Berlin, Germany

来源：

FOURTH CONGRESS ON INTELLIGENT SYSTEMS, VOL 2, CIS 2023 | 2024年 / 869卷

关键词：

Collaborative filtering; Content-based filtering; Association rule;

D O I：

10.1007/978-981-99-9040-5_8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recommendation systems play a pivotal role in the digital age, with ongoing research focused on enhancing their effectiveness. This paper delves into the common challenges associated with developing these systems, including the cold-start problem, handling sparse datasets, and the use of matrix filling in hierarchical methods. We explore innovative approaches that include the integration of diverse algorithms and the application of alternative techniques, such as deep learning. Our research aims to establish an empirically based standard for various aspects of recommendation systems, thereby serving as a valuable reference for future studies.

引用

页码：123 / 130

页数：8

共 50 条

[1] Exploring the Landscape of Hybrid Recommendation Systems in E-Commerce: A Systematic Literature Review
Bodduluri, Kailash Chowdary
Palma, Francis
Kurti, Arianit
Jusufi, Ilir
Lowenadler, Henrik
[J]. IEEE ACCESS, 2024, 12 : 28273 - 28296
[2] Innovations in e-commerce
Dysart, Joe
[J]. Paper, Film and Foil Converter, 2002, 76 (10): : 59 - 62
[3] A Comprehensive Review on E-Commerce Research
Khoo, Vivian
Ahmi, Aidi
Saad, Ram Al-Jaffri
[J]. PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND TECHNOLOGY (ICAST'18), 2018, 2016
[4] A framework for e-commerce oriented recommendation systems
Weng, LT
Xu, Y
Li, YF
[J]. PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON ACTIVE MEDIA TECHNOLOGY (AMT 2005), 2005, : 309 - 314
[5] A framework for E-commerce oriented recommendation systems
[J]. Weng, L.-T. (l.weng@student.qut.edu.au), IEEE Systems, Man, and Cybernetics Society; Information Processing Society of Japan; Kagawa University (Institute of Electrical and Electronics Engineers Computer Society):
[6] An integrated framework for recommendation systems in e-commerce
Shih, TK
Chiu, CF
Hsu, HH
Lin, FH
[J]. INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2002, 102 (8-9) : 417 - 431
[7] A Customer Loyalty Model for E-Commerce Recommendation Systems
Ebrahimi, Leila
Mirabi, Vahid Reza
Ranjbar, Mohammad Hossein
Pour, Esmaeil Hassan
[J]. JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT, 2019, 18 (03)
[8] E-Commerce Recommendation Applications
J. Ben Schafer
Joseph A. Konstan
John Riedl
[J]. Data Mining and Knowledge Discovery, 2001, 5 : 115 - 153
[9] E-commerce recommendation applications
Ben Schafer, J
Konstan, JA
Riedl, J
[J]. DATA MINING AND KNOWLEDGE DISCOVERY, 2001, 5 (1-2) : 115 - 153
[10] Algorithm in E-commerce Recommendation
Fan, Zezhou
Chang, Dan
Cui, Jinhong
[J]. 2018 5TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ECONOMICS SYSTEM AND INDUSTRIAL SECURITY ENGINEERING (IEIS 2018), 2018,

← 1 2 3 4 5 →