JISE


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Journal of Information Science and Engineering, Vol. 34 No. 5, pp. 1273-1286


A Requirements Engineering Approach to Attribute Selection in a Recommendation System


PEI-CHUAN ZHOU, ALAN LIU AND CHING-JUNG LEE
Department of Electronic Engineering
National Chung Cheng University
Chiayi, 621 Taiwan
E-mail: z09620@hotmail.com, aliu@ee.ccu.edu.tw, kgarnett521@hotmail.com


  Attributes play an important role in recommendation systems. This paper presents a method to enhance the result of a recommendation system through attribute selection based on user goals. With a limited amount of data, a recommendation system suffers from sparsity problems and cold start problems in collaborative filtering. In order to utilize such data, our method seek to find a set of suitable attributes using goal-driven requirements analysis to provide more timely information of user preferences for the current needs of a user. The process of goal-driven analysis is aided by the Analytic Hierarchy Process in attribute selection. The experiments show that this method is feasible and derives promising results.    


Keywords: attributes selection, goal-driven use case analysis, user preferences, recommendation system

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