Home // ICDS 2012, The Sixth International Conference on Digital Society // View article

Generating Context-aware Recommendations using Banking Data in a Mobile Recommender System

Authors:
Daniel Gallego Vico
Gabriel Huecas
Joaquín Salvachúa Rodríguez

Keywords: Mobile Recommender; Context-aware; Banking data mining; User modeling; Customer segmentation

Abstract:
The increasing adoption of smartphones by the society has created a new area of research in recommender systems. This new domain is based on using location and context-awareness to provide personalization. This paper describes a model to generate context-aware recommendations for mobile recommender systems using banking data in order to recommend places where the bank customers have previously spent their money. In this work we have used real data provided by a well know Spanish bank. The mobile prototype deployed in the bank Labs environment was evaluated in a survey among 100 users with good results regarding usefulness and effectiveness. The results also showed that test users had a high confidence in a recommender system based on real banking data.

Pages: 73 to 78

Copyright: Copyright (c) IARIA, 2012

Publication date: January 30, 2012

Published in: conference

ISSN: 2308-3956

ISBN: 978-1-61208-176-2

Location: Valencia, Spain

Dates: from January 30, 2012 to February 4, 2012