E-Commerce product comparison portal for classification of customer data based on data mining

被引:4
|
作者
Sharma, Dilip Kumar [1 ]
Lohana, Sarika [2 ]
Arora, Saurabh [3 ]
Dixit, Ashutosh [4 ]
Tiwari, Mohit [5 ]
Tiwari, Tripti [6 ]
机构
[1] Jaypee Univ Engn & Technol, Dept Math, Guna, MP, India
[2] State Bank Inst Leadership, Kolkata, India
[3] Jamia Millia Islamia, Dept Comp Engn, New Delhi 110025, India
[4] Bhagwant Univ, Ajmer, Rajasthan, India
[5] Bharati Vidyapeeths Coll Engn, Dept Comp Sci & Engn, A-4 Rohtak Rd Paschim Vihar, Delhi, India
[6] BVIMR, Dept Management Studies, A-4 Rohtak Rd Paschim Vihar, Delhi, India
关键词
Robotic Process Automation; E-Commerce portal; SUPPLY CHAIN;
D O I
10.1016/j.matpr.2021.05.068
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this search paper scrapping the data such as product name, product price, product reviews and ratings related to suggested products from Flipkart and Amazon using Robotic Process Automation tool and data is cleaned in order to remove noisy values and based on the user request the products from Flipkart and Amazon is suggested on E-Commerce portal based on user preferences the user can purchase the product from any site which is completely dependent on user. The RPA tool i.e., UiPath is used to create software robot for both Flipkart and Amazon, this bot is used to scrape the data from Flipkart and Amazon and perform cleaning operation and dump the data to database which can be used for future use. And the bot can be triggered on daily basis for data collection for database updation. This E-Commerce portal helps to categorize and distinguish the product purchase behavior and satisfy the end customer requirements.
引用
收藏
页码:166 / 171
页数:6
相关论文
共 50 条
  • [41] Customer gender prediction system on hierarchical E-commerce data
    Mohammad Masud Khan
    Mohammad Golam Sohrab
    Mohammad Abu Yousuf
    Beni-Suef University Journal of Basic and Applied Sciences, 9
  • [42] Data quality for effective e-commerce customer relationship management
    Ishaya, Tanko
    Rigneau, Julian
    ICEIS 2007: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS: SOFTWARE AGENTS AND INTERNET COMPUTING, 2007, : 92 - +
  • [43] Customer gender prediction system on hierarchical E-commerce data
    Khan, Mohammad Masud
    Sohrab, Mohammad Golam
    Abu Yousuf, Mohammad
    BENI-SUEF UNIVERSITY JOURNAL OF BASIC AND APPLIED SCIENCES, 2020, 9 (01)
  • [44] Product classification integration for e-commerce
    Bergamaschi, S
    Guerra, F
    Vincini, M
    13TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2002, : 861 - 867
  • [45] E-Commerce data classification in the cloud environment based on bayesian algorithm
    Xu, Bing
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 40 (04) : 5819 - 5826
  • [46] Application of sensor-based speech data mining in E-commerce operations data analysis
    Yao, Kang
    Measurement: Sensors, 2024, 33
  • [47] Data mining and application of social e-commerce users based on big data of internet of things
    Xie, Chao
    Xiao, Xiaoyong
    Hassan, Dina K.
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 39 (04) : 5171 - 5181
  • [48] Big Data Mining and Analysis of Agricultural Products Based on e-Commerce Platform
    Hu Meiling
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [49] E-COMMERCE DATA MINING ANALYSIS BASED ON USER PREFERENCES AND ASSOCIATION RULES
    Zhang, Yun
    SCALABLE COMPUTING-PRACTICE AND EXPERIENCE, 2024, 25 (05): : 3515 - 3522
  • [50] Mining E-Commerce Data from E-Shop Websites
    Horch, Andrea
    Kett, Holger
    Weisbecker, Anette
    2015 IEEE TRUSTCOM/BIGDATASE/ISPA, VOL 2, 2015, : 153 - 160