TY - GEN
T1 - Rank consistency of TOPSIS in mobile based recommendation system
AU - Dewi, Ratih Kartika
AU - Widodo, Agus Wahyu
AU - Sari, Yuita Arum
AU - Aziz, Nurul Ilmi Muhlisah
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/11/16
Y1 - 2020/11/16
N2 - 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.
AB - 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.
KW - mobile apps
KW - rank reversal
KW - sport venue recommendations
KW - TOPSIS
UR - https://www.scopus.com/pages/publications/85099058742
U2 - 10.1145/3427423.3427455
DO - 10.1145/3427423.3427455
M3 - Conference contribution
AN - SCOPUS:85099058742
T3 - ACM International Conference Proceeding Series
SP - 107
EP - 112
BT - Proceedings of 2020 International Conference on Sustainable Information Engineering and Technology, SIET 2020
PB - Association for Computing Machinery
T2 - 5th International Conference on Sustainable Information Engineering and Technology, SIET 2020
Y2 - 16 November 2020 through 17 November 2020
ER -