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@article{ART002602271},
author={Lee Bong Kyu},
title={Searching association rules based on purchase history and usage-time of an item},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2020},
volume={16},
number={1},
pages={81-88},
doi={10.29056/jsav.2020.06.09}

TY - JOUR
AU - Lee Bong Kyu
TI - Searching association rules based on purchase history and usage-time of an item
JO - Journal of Software Assessment and Valuation
PY - 2020
VL - 16
IS - 1
PB - Korea Software Assessment and Valuation Society
SP - 81
EP - 88
SN - 2092-8114
AB - Various methods of differentiating and servicing digital content for individual users have been studied. Searching for association rules is a very useful way to discover individual preferences in digital content services. The Apriori algorithm is useful as an association rule extractor using frequent itemsets. However, the Apriori algorithm is not suitable for application to an actual content service because it considers only the reference count of each content. In this paper, we propose a new algorithm based on the Apriori that searches association rules by using purchase history and usage-time for each item. The proposed algorithm utilizes the usage time with the weight value according to purchase items. Thus, it is possible to extract the exact preference of the actual user. We implement the proposed algorithm and verify the performance through the actual data presented in the actual content service system.
KW - Association rule;Digital content;Frequency of use;Purchase history;Algorithm
DO - 10.29056/jsav.2020.06.09
ER -

Lee Bong Kyu. (2020). Searching association rules based on purchase history and usage-time of an item. Journal of Software Assessment and Valuation, 16(1), 81-88.

Lee Bong Kyu. 2020, "Searching association rules based on purchase history and usage-time of an item", Journal of Software Assessment and Valuation, vol.16, no.1 pp.81-88. Available from: doi:10.29056/jsav.2020.06.09

Lee Bong Kyu "Searching association rules based on purchase history and usage-time of an item" Journal of Software Assessment and Valuation 16.1 pp.81-88 (2020) : 81.

Lee Bong Kyu. Searching association rules based on purchase history and usage-time of an item. 2020; 16(1), 81-88. Available from: doi:10.29056/jsav.2020.06.09

Lee Bong Kyu. "Searching association rules based on purchase history and usage-time of an item" Journal of Software Assessment and Valuation 16, no.1 (2020) : 81-88.doi: 10.29056/jsav.2020.06.09

Lee Bong Kyu. Searching association rules based on purchase history and usage-time of an item. Journal of Software Assessment and Valuation, 16(1), 81-88. doi: 10.29056/jsav.2020.06.09

Lee Bong Kyu. Searching association rules based on purchase history and usage-time of an item. Journal of Software Assessment and Valuation. 2020; 16(1) 81-88. doi: 10.29056/jsav.2020.06.09

Lee Bong Kyu. Searching association rules based on purchase history and usage-time of an item. 2020; 16(1), 81-88. Available from: doi:10.29056/jsav.2020.06.09

Lee Bong Kyu. "Searching association rules based on purchase history and usage-time of an item" Journal of Software Assessment and Valuation 16, no.1 (2020) : 81-88.doi: 10.29056/jsav.2020.06.09