A Comparative Study of Recommendation Algorithms in E-Commerce

被引：0
|
作者：
Chavan, Reshma [1 ]
Mukhopadhyay, Debajyoti [1 ]
机构：
[1] Maharashtra Inst Technol, Dept Informat Technol, Pune, Maharashtra, India
来源：
2017 INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC) | 2017年
关键词：
E-Commerce; Recommender System; Hadoop; MapReduce; Data Mining;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The recommender systems are used extensively around the world to increase sales and profits. A proper recommender system improves overall user shopping experience. In the e-commerce industry, this approach helps acquire potential market opportunities. This paper focuses on the comparison of different recommendation algorithms and provides a guideline to choose the best algorithm. Better and appropriate recommendations can be achieved by analysing a large amount of data by using Hadoop MapReduce framework, along with appropriate GUI.
引用
收藏
页码：163 / 168
页数：6
相关论文
共 50 条
  • [1] Comparative Analysis of E-commerce Recommendation Strategies
    Jiang, Junhua
    [J]. PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON EDUCATION TECHNOLOGY, MANAGEMENT AND HUMANITIES SCIENCE, 2016, 50 : 493 - 496
  • [2] A Comparative Performance Study of Naive and Ensemble Algorithms for E-commerce
    Hafez, Manar Mohamed
    Diaz Redondo, Rebeca P.
    Fernandez Vilas, Ana
    [J]. 2018 14TH INTERNATIONAL COMPUTER ENGINEERING CONFERENCE (ICENCO), 2018, : 26 - 31
  • [3] Examining collaborative filtering algorithms for clothing recommendation in e-commerce
    Hu, Zhi-Hua
    Li, Xiang
    Wei, Chen
    Zhou, Hong-Lei
    [J]. TEXTILE RESEARCH JOURNAL, 2019, 89 (14) : 2821 - 2835
  • [4] A comparison of collaborative-filtering recommendation algorithms for e-commerce
    Huang, Zan
    Zeng, Daniel
    Chen, Hsinchen
    [J]. IEEE INTELLIGENT SYSTEMS, 2007, 22 (05) : 68 - 78
  • [5] E-Commerce Recommendation Applications
    J. Ben Schafer
    Joseph A. Konstan
    John Riedl
    [J]. Data Mining and Knowledge Discovery, 2001, 5 : 115 - 153
  • [6] E-commerce recommendation applications
    Ben Schafer, J
    Konstan, JA
    Riedl, J
    [J]. DATA MINING AND KNOWLEDGE DISCOVERY, 2001, 5 (1-2) : 115 - 153
  • [7] 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,
  • [8] A study on the impact of personalised recommendation algorithms in webcasting on the development of rural e-commerce entrepreneurship
    Li, Jie
    [J]. International Journal of Computational Systems Engineering, 2023, 7 (2-4) : 135 - 145
  • [9] Attracting Potential Customers in E-Commerce Environments: A Comparative Study of Metaheuristic Algorithms
    Yazdani, Reza
    Taghipourian, Mohammad Javad
    Pourpasha, Mohammad Mahdi
    Hosseini, Seyed Shamseddin
    [J]. PROCESSES, 2022, 10 (02)
  • [10] Personalized Information Recommendation of E-Commerce
    He, Bo
    [J]. ADVANCES IN FUTURE COMPUTER AND CONTROL SYSTEMS, VOL 2, 2012, 160 : 363 - 367
12345