國立虎尾科技大學 |

Artificial Intelligence in Media Industries; Creating Better User Experiences and Maintaining High Customer Loyalties.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Artificial Intelligence in Media Industries; Creating Better User Experiences and Maintaining High Customer Loyalties./
作者:	Cheng, Gong.
面頁冊數:	1 online resource (87 pages)
附註:	Source: Masters Abstracts International, Volume: 57-06.
標題:	Artificial intelligence. -
電子資源:	click for full text (PQDT)
ISBN:	9780438041875

Artificial Intelligence in Media Industries; Creating Better User Experiences and Maintaining High Customer Loyalties.
Cheng, Gong.

Artificial Intelligence in Media Industries; Creating Better User Experiences and Maintaining High Customer Loyalties. - 1 online resource (87 pages)

Source: Masters Abstracts International, Volume: 57-06.

Thesis (M.S.)--Drexel University, 2018.

Includes bibliographical references

The implementation of artificial intelligence has become mainstream in the development of social media due to its advantages of automatic data processing, content generating and efficient interaction with customers. This thesis utilized a mixed research method, including an internet-based questionnaire survey and a semi-structured interview, to identify how artificial intelligence could help improve customers' experiences when using the Chinese website AutoHome as a tool to search vehicle resources and information. A review of the literature indicates three main factors; relevance, updating frequency and degree of accuracy, that could significantly influence the effectiveness of applying AI in the social media industry. On this theoretical basis, the thesis determines three explanatory variables and collects primary data from respondents through a survey. An OLS multivariate linear regression model with critical evaluation is used to identify how customers' visiting frequency is influenced. The statistical results demonstrate that updating frequency and peoples' dissatisfaction on content relevance will cast a substantial impact on their visiting frequency, while people rarely care about what they read and comment on the information. The further interviews with three different groups of users imply that a focus on different influential factors would vary according to users' goals in using the social media platform. Based on discussions and analyses, this thesis recommends that AutoHome should build an information database to trace visitors and manage the comment area.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780438041875Subjects--Topical Terms:

559380
Artificial intelligence.
Index Terms--Genre/Form:

554714
Electronic books.

Artificial Intelligence in Media Industries; Creating Better User Experiences and Maintaining High Customer Loyalties.
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500 $a Source: Masters Abstracts International, Volume: 57-06.
500 $a Adviser: Philip Salas.
502 $a Thesis (M.S.)--Drexel University, 2018.
504 $a Includes bibliographical references
520 $a The implementation of artificial intelligence has become mainstream in the development of social media due to its advantages of automatic data processing, content generating and efficient interaction with customers. This thesis utilized a mixed research method, including an internet-based questionnaire survey and a semi-structured interview, to identify how artificial intelligence could help improve customers' experiences when using the Chinese website AutoHome as a tool to search vehicle resources and information. A review of the literature indicates three main factors; relevance, updating frequency and degree of accuracy, that could significantly influence the effectiveness of applying AI in the social media industry. On this theoretical basis, the thesis determines three explanatory variables and collects primary data from respondents through a survey. An OLS multivariate linear regression model with critical evaluation is used to identify how customers' visiting frequency is influenced. The statistical results demonstrate that updating frequency and peoples' dissatisfaction on content relevance will cast a substantial impact on their visiting frequency, while people rarely care about what they read and comment on the information. The further interviews with three different groups of users imply that a focus on different influential factors would vary according to users' goals in using the social media platform. Based on discussions and analyses, this thesis recommends that AutoHome should build an information database to trace visitors and manage the comment area.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
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