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An Evaluation Approach for Website Promotion Based on Combined Weight and TOPSIS

Published: 16 December 2022 Publication History

Abstract

In view of the problems existing in the process of website promotion evaluation, such as inadequate decision-making information, strong subjectivity and quantification difficulty of the index weight assignment, and inadequate accuracy of the selected results. For realizing the goal of automatic evaluation for the performance of website promotion, we propose an approach based on Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) through combined weights. Specifically, based on the construction of a comprehensive evaluation index system for website promotion, the subjective and objective weights are determined by using Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA). Then the combined weights are obtained by Entropy method, and finally TOPSIS is used to rank the performance of website promotion. Experimental results indicate that the ranking results are consistent, and our method can achieve the greatest degree of discrimination.

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ICBDT '22: Proceedings of the 5th International Conference on Big Data Technologies
September 2022
454 pages
ISBN:9781450396875
DOI:10.1145/3565291
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 December 2022

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Author Tags

  1. Combined weight
  2. TOPSIS
  3. Website promotion

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  • Research-article
  • Research
  • Refereed limited

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  • Innovation practice project for college students in Sichuan Province
  • Intelligent Policing Key Laboratory of Sichuan Province

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ICBDT 2022

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