A framework for e-commerce oriented recommendation systems

Published 9 September 2005

Li-Tung Weng, Yue Xu, Yunwei Li

DOI10.1109/amt.2005.1505359

Citations14

TL;DR

A framework that enables recommendation systems to be easily adjusted to suit the overarching needs of various business types, and further carve out the potential market for recommendation systems is proposed.

Abstract

This paper presents a framework for developing and deploying the recommendation systems that are applicable to the complex, dynamic and challenging business environment. Recommendation accuracy and computation performances are the two major research focuses in the domain of recommendation systems. However, from a business side point of view, it is vital to maximize the adoptability of recommendation systems for various business models, aspects and strategies. To date, little research is conducted that aims at increasing the productivity of recommendation systems to business value. In this paper we propose a framework that enables recommendation systems to be easily adjusted to suit the overarching needs of various business types, and further carve out the potential market for recommendation systems.

Keywords

Computer ScienceDecision Sciences

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