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Type: e-book
Genre: Education & Language, Science & Technology
Language: English
Price: ₹0
Available Formats: PDF

Description

Our Research “Personalized Recommendation Systems for E-Commerce on Social Media Platforms using Big Data Analytics “is a as e-commerce offers more and more choices for users, its structure becomes more and more complicated. Inevitably, it brings about the problem of information overload. The solution to this problem is an e-commerce personalized recommendation system using machine learning technology. People often seem confused when facing extensive information and cannot grasp the key points. This paper studies the personalized recommendation technology of e-commerce: deeply analyzes the related technologies and algorithms of the e-commerce recommendation system and proposes the latest architecture of the e-commerce recommendation system according to the current development status of the e-commerce recommendation system. The system recommends accuracy and real-time requirements and divides the system into two parts: offline mining and online recommendation and analyzes and implements the functions and technologies of each part. User-based recommender systems, collaborative filtering recommender...

About the Authors

Prof. (Dr.) B.K Sarkar
Prof. (Dr.) Reena Singh
Prof. (Dr.) Vandana Singh
Miss Shikha Mishra,
Mr. Pawan Kumar,
Miss. Pari Nidhi Singh

Book Details

ISBN: 9798989862337
Publisher: GEH Press
Number of Pages: 11
Availability: Available for Download (e-book)

Ratings & Reviews

Multidisciplinary International Conference on Innovations in Education Science & Technology ICIEST-2023

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