Evaluation And Customization of TV Drama

DOI

10.2991/icemc-17.2017.150How to use a DOI?

Keywords

TV drama; Grey system theory; Model

Abstract

Which TV program can catch your attention when you are channel surfing? In this paper, several models are proposed to solve the problem. Our efforts in building these models followed the path below. We establish a judgment matrix to obtain the weight of index using Analytic Hierarchy process (AHP). Then, Fuzzy Synthetic Evaluation (FSE) is built to rank the top 10 TV dramas and this can overcome weakness of excess subjective factors in AHP. Moreover, we compare our top10 with the data online and they have high similarity. A large amount of data are collected from related documents and websites. We use Grey Relational Analysis (GRA) to filter the parameters, and the conclusion is that just the number of Baidu searches and microblog followers have a direct relationship with star's popularity index. Finally, we finish a data fitting and get the index of star's popularity.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Li Yi
PY  - 2016/06
DA  - 2016/06
TI  - Evaluation And Customization of TV Drama
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 738
EP  - 742
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.150
DO  - 10.2991/icemc-17.2017.150
ID  - Yi2016/06
ER  -