Authors:
Caíque de Paula Pereira
;
Ruyther Parente da Costa
and
Edna Dias Canedo
Affiliation:
University of Brasília (UnB), Brazil
Keyword(s):
E-commerce, Recommendation Algorithms, Mobile Software Development, iOS, Giftr.
Related
Ontology
Subjects/Areas/Topics:
Databases and Information Systems Integration
;
Electronic Commerce
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Mobile Databases
;
Software Agents and Internet Computing
;
Software Engineering
Abstract:
This paper proposes a recommendation algorithm for mobile devices based on the COREL framework. In this context, the mobile application market and m-commerce sales have grown steadily, along with the growth of studies and product recommendation solutions implemented in e-commerce systems. The proposed recommendation algorithm is a customization of the COREL framework, based on the complexity of the implementation associated with iOS mobile applications. Therefore, this work aims to customize a gift recommendation algorithm in the context of mobile devices using as main input the user preferences for the gifts recommendation in the Giftr application. This algorithm has been tested through three cycles of tests and improved during it, the results suggest that the algorithm presents a good performance and gifts results based on the user preferences.