Prioritization of Benchmarking Framework for Social Media Content Based on Integration of AHP and Group TOPSIS: A Case Study of Instagram Travel
文献类型： 会议论文
第一作者： Nurul Akhmal Mohd Zulkefli
作者： Nurul Akhmal Mohd Zulkefli 1 ; Mukesh Madanan 1 ; Muhamad Hariz Muhamad Adnan 2 ;
作者机构： 1.Department of Computer Science, CAAS Dhofar University, Salalah, Sultanate of Oman
2.Computing Department, FSKIK Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia
关键词： Social networking (online);Multimedia Web sites;Decision making;Benchmark testing;Media;Data mining
会议名称： International Conference on Computer Technologies
主办单位：
页码： 70-76
摘要： Prioritization of social media content is a difficult process due to the variability of data, different assessment criteria, criterion significance, and alternative members. In the present research, there is no precise approach for ranking social media content based on Multi-criteria decision making (MCDM). This study suggests a revolutionary approach to social media content prioritization based on the integration of AHP and TOPSIS. We present the benchmarking framework in this paper. The approach began with the extraction of the dataset, followed by the determination of the criteria and the construction of the TOPSIS decision matrix. 75 Instagram accounts were included in the data. In the meanwhile, AHP is utilized to determine the weighting based on expert judgments. A decision matrix is constructed using alternative criteria. The results indicate that expert weighing is appropriate, with a consistency rate of less than 10%. Additionally, the AHP and TOPSIS integration findings show that the prioritizing benchmark framework provides the similarity priority rating for the top 10 Instagram, based on the different individual expert weighting.
分类号： tp3
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