Egea, SantiagoLi-Lin, PauRadeva, Petia2020-07-292020https://hdl.handle.net/2445/169668Requeriments 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.eduIn 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.10 p.application/pdfapplication/zipeng(c) Universitat de Barcelona, 2020ProgramariComerç electrònicComputer softwareElectronic commerceApplying Deep learning for image analysis and recommenders. Application to retail (RESTful APIs)info:eu-repo/semantics/otherinfo:eu-repo/semantics/embargoedAccess