ITEA is the Eureka Cluster on software innovation
ITEA is the Eureka Cluster on software innovation
ITEA 4 page header azure circular

: Recommendation system for e-commerce websites

Project
16037 PAPUD
Type
New standard
Description

Recommendation system for e-commerce websites using deep learning systems, pushes products based on a list of products or only one product.

Contact
Patrick Constant
Email
Patrick.constant@pertimm.com
Technical features

Input(s):

  • A list of products and their characteristics
  • A list of visitors and their characteristics
  • A list of baskets of products bought by each visitor

Main feature(s):

  • Recommendation system for ecommerce websites

Output(s):

  • A deep learning recommendation system
Integration constraints
  • REST/JSON API
  • Neural networks using Pytorch (deep) and Tensorflow, and one using Gensim library
Targeted customer(s)

Buyers for e-commerce websites.

Conditions for reuse

Integration within an e-commerce website.

Confidentiality
Public
Publication date
03-11-2020
Involved partners
PERTIMM (FRA)