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Identifying Online Streaming User Va...

ProQuest Information and Learning Co.

Identifying Online Streaming User Value in the Netflix Recommendation System.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Identifying Online Streaming User Value in the Netflix Recommendation System./
作者:	Yan, Jingyu.
面頁冊數:	1 online resource (67 pages)
附註:	Source: Masters Abstracts International, Volume: 57-01.
標題:	Multimedia communications. -
電子資源:	click for full text (PQDT)
ISBN:	9780355288001

Identifying Online Streaming User Value in the Netflix Recommendation System.
Yan, Jingyu.

Identifying Online Streaming User Value in the Netflix Recommendation System. - 1 online resource (67 pages)

Source: Masters Abstracts International, Volume: 57-01.

Thesis (M.S.)--Drexel University, 2017.

Includes bibliographical references

Netflix is one of the most successful providers of Over-The-Top content, delivered via the internet. By using a massive amount of data generated by its streaming users, a personalized recommendation system is one of Netflix's value propositions. However, due to a lack of publically available data and studies, it is difficult to determine whether its recommendation system has brought true value to streaming users, and how important this feature is to its users.

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

Mode of access: World Wide Web

ISBN: 9780355288001Subjects--Topical Terms:

655342
Multimedia communications.
Index Terms--Genre/Form:

554714
Electronic books.

Identifying Online Streaming User Value in the Netflix Recommendation System.
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245 1 0 $a Identifying Online Streaming User Value in the Netflix Recommendation System.
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300 $a 1 online resource (67 pages)
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500 $a Source: Masters Abstracts International, Volume: 57-01.
500 $a Adviser: Philip Salas.
502 $a Thesis (M.S.)--Drexel University, 2017.
504 $a Includes bibliographical references
520 $a Netflix is one of the most successful providers of Over-The-Top content, delivered via the internet. By using a massive amount of data generated by its streaming users, a personalized recommendation system is one of Netflix's value propositions. However, due to a lack of publically available data and studies, it is difficult to determine whether its recommendation system has brought true value to streaming users, and how important this feature is to its users.
520 $a The purpose of this study is to evaluate the recommendation system from the streaming users' point of view. By collecting survey results from 119 participants, this study will attempt to reveal the relationship between streaming users and the personalized recommendation system, and to show whether or not streaming users are satisfied with this feature.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Multimedia communications. $3 655342
655 7 $a Electronic books. $2 local $3 554714
690 $a 0558
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Drexel University. $b Television Management. $3 1185817
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10634108 $z click for full text (PQDT)

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