Design of multidimensional film scoring model based on TOPSIS algorithm

Chong Liu

doi:10.1117/12.2634492

12 May 2022 Design of multidimensional film scoring model based on TOPSIS algorithm

Chong Liu

Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 121731K (2022) https://doi.org/10.1117/12.2634492
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China

Abstract

With the development of the "digital" era, film reviews have moved from words to numbers. General film ratings use expert or public ratings as a single type of evaluation index to score films according to different weights. In this paper, different types of evaluation indexes are selected in a multi-dimensional way. The evaluation indexes are divided into pre-screening period, screening period and post-screening period in the time dimension. The most representative evaluation indexes in different periods are selected for multi-dimensional evaluation of film quality in this period. Finally, the overall score of the whole film is combined with the score of each period. The weights of each evaluation index will be different according to their own characteristics, and the weights of this paper are basically determined by analytic hierarchy process (AHP). Scores for each period were calculated based on Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) algorithm. Based on the analysis of data, not only consider a fixed value, at the same time consider over time due to the evaluation, heat and other factors on the impact of film data, through the establishment of basic data rate and deeper rate data processing model of change over time, more accurate data for processing, then makes the movie score is more accurate.

Citation Download Citation

Chong Liu "Design of multidimensional film scoring model based on TOPSIS algorithm", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 121731K (12 May 2022); https://doi.org/10.1117/12.2634492

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