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Identifying Online Streaming User Va...

Yan, Jingyu.

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Identifying Online Streaming User Value in the Netflix Recommendation System.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Identifying Online Streaming User Value in the Netflix Recommendation System./
Author:	Yan, Jingyu.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	67 p.
Notes:	Source: Masters Abstracts International, Volume: 57-01.
Contained By:	Masters Abstracts International57-01(E).
Subject:	Multimedia communications. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10634108
ISBN:	9780355288001

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

Identifying Online Streaming User Value in the Netflix Recommendation System. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 67 p.

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

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

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.

ISBN: 9780355288001Subjects--Topical Terms:

590562
Multimedia communications.

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.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 67 p.
500 $a Source: Masters Abstracts International, Volume: 57-01.
500 $a Adviser: Philip Salas.
502 $a Thesis (M.S.)--Drexel University, 2017.
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.
590 $a School code: 0065.
650 4 $a Multimedia communications. $3 590562
690 $a 0558
710 2 $a Drexel University. $b Television Management. $3 3179671
773 0 $t Masters Abstracts International $g 57-01(E).
790 $a 0065
791 $a M.S.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10634108