Rank consistency of TOPSIS in mobile based recommendation system

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI:10.1145/3427423.3427455

Ratih Kartika Dewi, A. Widodo, Y. A. Sari, Nurul Ilmi Muhlisah Aziz

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引用次数: 1

Abstract

The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm was chosen as an algorithm for making recommendations in many mobile recommender system application, such as in mobile-based sports venue recommendation system. In the previous work, usability testing was conducted to test the user acceptance of the application, but the reliability of TOPSIS hasn't been tested yet. The accuracy testing is very subjective for problems in terms of sports venue recommendations, therefore, this research proposed rank consistency testing to find out if there is a rank reversal (the first ranking is swapped with the latest ranking) when there is a change in the number of alternatives (alternatives in this case are the sports venues). The contribution of this research is to find out the reliability of the TOPSIS algorithm in the issue of mobile-based sports venue recommendation system. The test scenario is held by adding one alternative with the same value as one of the existing alternatives. Based on the results of tests for this case, the rank consistency result shows 100% of rank consistency and there is also no rank reversal.

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基于移动端的推荐系统中TOPSIS的排名一致性

TOPSIS (Order Preference by Similarity to Ideal Solution)算法在许多移动推荐系统应用中被选择作为一种推荐算法，例如基于移动端的体育场馆推荐系统。在之前的工作中，我们进行了可用性测试来测试用户对应用的接受程度，但TOPSIS的可靠性还没有进行测试。对于体育场馆推荐的问题，准确性测试是非常主观的，因此，本研究提出秩一致性测试，当备选项(本例中的备选项为体育场馆)的数量发生变化时，是否会出现秩反转(将第一个排名与最新的排名交换)。本研究的贡献在于找出TOPSIS算法在基于移动的体育场馆推荐系统问题中的可靠性。测试场景是通过添加一个与现有替代方案之一具有相同值的替代方案来保持的。根据本例的测试结果，秩一致性结果显示秩一致性100%，也没有秩反转。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology

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