ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774

ANALYZING AND PREDICTING CUSTOMER BEHAVIOUR USING ADVANCED MACHINE LEARNING TECHNIQUES 

Abstract

Abstract:- Nowadays due to booming Internet technologies and heavy usage of social media and e-commerce platforms many users create content in the form of blogs, posts, reviews etc. This content can be re-utilized to analyze customer behavior so as to understand his requirements, preferences and show them as recommended products so that the e-commerce business increases. It can further help organizations to design their marketing strategies and users can have a personalized experience of shopping and improve the profits of the organization. In this project we try to analyze the data set using n-gram analysis hand feed it to various algorithms to find which algorithm can give the best accuracy and try to recommend similar products using collaborative filtering. Thus we use the latest machine learning techniques such as sentiment analysis, collaborative filtering, neural networks etc Keywords:- Cloud Security, preserving, Data Visualization, Sentiment Analysis, Machine Learning, Natural Language Processing

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IMPORTANT DATES 

Submit paper at ijasret@gmail.com

Paper Submission Open For April  20212
UGC indexed in (Old UGC) 2017
Last date for paper submission 30th April, 2022
Deadline Submit Paper any time
Publication of Paper Within 01-02 Days after completing all the formalities
Paper Submission Open For Publication /online Conference 
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