| KEYWORD |
Design and development of an automatic recommendation system for e-commerce
keywords DATA MINING, PYTHON, RECOMMENDER SYSTEMS
Reference persons ALESSANDRO FIORI
Research Groups DAUIN - GR-04 - DATABASE AND DATA MINING GROUP - DBDM
Thesis type APPLIED RESEARCH, DEVELOPMENT, RESEARCH
Description The sale of products online has experienced exponential growth in the last period. Offering several products with similar features has made it difficult for customers to choose the best product for their needs. In recent years, several recommender systems have been developed in order to make the shopping experience easier. Many of these are based on the analysis of some questions submitted to the users themselves. The objective of this thesis is to study and develop a prototype of a web based application that collects users' browsing data and preferences in order to recommend the best products according to their needs and limiting the interactions of the users themselves.
Deadline 14/07/2022
PROPONI LA TUA CANDIDATURA