Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/169668
Title: | Applying Deep learning for image analysis and recommenders. Application to retail (RESTful APIs) |
Author: | Egea, Santiago Li-Lin, Pau Radeva, Petia |
Keywords: | Programari Comerç electrònic Computer software Electronic commerce |
Issue Date: | 2020 |
Abstract: | In the Internet era, e-commerce is continuously gaining market share due to user’s benefits, such aseasier navigation through store stocks, no necessity of on-site shopping, amongst others. These facts draw a prosperous context for companies that are able to adapt to the new economic situation in numerous sectors (fashion, food, etc.). In this context, University of Barcelona has developped RESTful APIs, that is a recommender systems that provide incredible features for e-commerce so as to maximize successful sales and, consequently, user’s satisfaction. |
Note: | Requeriments tècnics: The software requires at least 6GB of ram. L'accés al manual i al codi no estarà disponible fins la fi de la data d'embargament. Si esteu interessats a accedir-hi, contacteu amb idea@fbg.ub.edu |
URI: | http://hdl.handle.net/2445/169668 |
Appears in Collections: | Programari (Matemàtiques i Informàtica) Programari - Recerca |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Manual usuario RESTful APIs.pdf | 544.46 kB | Adobe PDF | View/Open Request a copy | |
Código Fuente y Ejecutable.zip | 878.53 MB | zip | View/Open Request a copy | |
Segmentator 2.zip | 160.57 MB | zip | View/Open Request a copy | |
Segmentator 1.zip | 1.9 GB | zip | View/Open Request a copy |
Document embargat fins el 28-7-2025
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.