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: 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
- 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)