Hudup - A Framework of E-commercial Recommendation Algorithms

Loc Nguyen; Minh-Phung T. Do

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Paper

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 EPS Lisbon 2015 - Volume 1, 10-43, 2015 , Lisbon, Portugal

Authors: Loc Nguyen ¹ and Minh-Phung T. Do ²

Affiliations: ¹ Sunflower Soft Company, Vietnam, Vietnam ; ² University of Information Technology, Vietnam

Keyword(s): Recommendation Algorithm, Recommendation Server, Middleware Framework.

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 several formats:

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 - EPS Lisbon 2015; ISBN 978-989-758-192-2, SciTePress, pages 10-43. DOI: 10.5220/0007900400100043

@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 - EPS Lisbon 2015},
year={2015},
pages={10-43},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007900400100043},
isbn={978-989-758-192-2},
}

TY - CONF

JO - European Project Space on Research and Applications of Information, Communication Systems, Knowledge Technology and Health Applications - 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
PB - SciTePress