Hudup - A Framework of E-commercial Recommendation Algorithms

Loc Nguyen, Minh-Phung T. Do

Abstract

Recommendation algorithm is very important to e-commercial websites when it can provide favorite products to online customers, which results out an increase in sale revenue. I propose an infrastructure for e-commercial recommendation solutions. It is a middleware framework of e-commercial recommendation software, which supports scientists and software developers to build up their own recommendation algorithms with low cost, high achievement and fast speed. This report is a full description of the proposed framework, which begins with general architectures and then concentrates on programming classes. Finally, a tutorial will help readers to comprehend the framework.

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Paper Citation


in Harvard Style

Nguyen L. and Do M. (2015). Hudup - A Framework of E-commercial Recommendation Algorithms.In European Project Space on Research and Applications of Information, Communication Systems, Knowledge Technology and Health Applications - Volume 1: EPS Lisbon 2015, ISBN 978-989-758-192-2, pages 10-43. DOI: 10.5220/0007900400100043


in Bibtex Style

@conference{eps lisbon 201515,
author={Loc Nguyen and Minh-Phung T. Do},
title={Hudup - A Framework of E-commercial Recommendation Algorithms},
booktitle={European Project Space on Research and Applications of Information, Communication Systems, Knowledge Technology and Health Applications - Volume 1: EPS Lisbon 2015,},
year={2015},
pages={10-43},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007900400100043},
isbn={978-989-758-192-2},
}


in EndNote Style

TY - CONF

JO - European Project Space on Research and Applications of Information, Communication Systems, Knowledge Technology and Health Applications - Volume 1: EPS Lisbon 2015,
TI - Hudup - A Framework of E-commercial Recommendation Algorithms
SN - 978-989-758-192-2
AU - Nguyen L.
AU - Do M.
PY - 2015
SP - 10
EP - 43
DO - 10.5220/0007900400100043