APJIS Asia Pacific Journal of Information Systems

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The Journal for Information Professionals

Asia Pacific Journal of Information Systems (APJIS) is published by the Korea Society
of Management Information Systems (KMIS), which is the largest professional institute
in the field of information systems in Korea.

ISSN 2288-5404 (Print) / ISSN 2288-6818 (Online)

Editor : Sang-Yong Tom Lee

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Current Issue

Date June 2017
Vol. No. Vol. 27 No. 2
DOI https://doi.org/10.14329/apjis.2017.27.2.126
Page 126~138
Title An Exploratory Study of Collaborative Filtering Techniques to Analyze the Effect of Information Amount
Author Hyun Sil Moon, Jung Hyun Yoon, Il Young Choi, Jae Kyeong Kim
Keyword Information Amount, Recommender System, Collaborative Filtering, Personalization Technique, Performance Analysis
Abstract The proliferation of items increased the difficulty of customers in finding the specific items they want to purchase. To solve this problem, companies adopted recommender systems, such as collaborative filtering systems, to provide personalization services. However, companies use only meaningful and essential data given the explosive growth of data. Some customers are concerned that their private information may be exposed because CF systems necessarily deal with personal information. Based on these concerns, we analyze the effects of the amount of information on recommendation performance. We assume that a customer could choose to provide overall information or partial information. Experimental results indicate that customers who provided overall information generally demonstrated high performance, but differences exist according to the characteristics of products. Our study can provide companies with insights concerning the efficient utilization of data.

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