東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back to Search results for [ null ]

Switch To: Labeled | MARC Mode | ISBD

Leverage Social Filtering to Enhance...

Chen, Wen-Hua.

Linked to FindBook

Google Book

Amazon

博客來

Leverage Social Filtering to Enhance Viewing Experience with Amazon Prime Video.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Leverage Social Filtering to Enhance Viewing Experience with Amazon Prime Video./
Author:	Chen, Wen-Hua.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	33 p.
Notes:	Source: Masters Abstracts International, Volume: 81-12.
Contained By:	Masters Abstracts International81-12.
Subject:	Design. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27961824
ISBN:	9798641433219

Leverage Social Filtering to Enhance Viewing Experience with Amazon Prime Video.
Chen, Wen-Hua.

Leverage Social Filtering to Enhance Viewing Experience with Amazon Prime Video. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 33 p.

Source: Masters Abstracts International, Volume: 81-12.

Thesis (M.F.A.)--Rochester Institute of Technology, 2020.

This item must not be sold to any third party vendors.

The development of technology has changed the way viewers consume video contents. With the rising of streaming services, video contents are gathered in one big platform, making them much more accessible than ever before. However, in the meantime, the ever increasing content choices on streaming services overwhelm and frustrate us, reducing our satisfaction with the experience. In addition, as recently as just a few years ago, television was a communal experience. We would watch TV together, on one shared screen. Now, we are isolated when using video streaming services on personal screens.This project is aimed to enhance viewing experience on streaming service by providing more precise and relevant movie recommendation based on viewer's social networking, and leveraging video contents as the bridge to develop shared experience and foster greater social engagement.The outcomes will demonstrate a series of functionalities that allow users to refer to their friend's viewing activities and reviews as options for movies, open up vivid conversations with friends by easily capturing and sharing memorable scenes from movies, as well as expand social connections based primarily on affinity in movie preferences for greater social engagement and richer viewing experience.

ISBN: 9798641433219Subjects--Topical Terms:

518875
Design.
Subjects--Index Terms:

Interaction design

Leverage Social Filtering to Enhance Viewing Experience with Amazon Prime Video.
LDR:02461nmm a2200373 4500 001 2282644
005 20211018063505.5
008 220723s2020 ||||||||||||||||| ||eng d
020 $a 9798641433219
035 $a (MiAaPQ)AAI27961824
035 $a AAI27961824
040 $a MiAaPQ $c MiAaPQ
100 1 $a Chen, Wen-Hua. $3 3561448
245 1 0 $a Leverage Social Filtering to Enhance Viewing Experience with Amazon Prime Video.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 33 p.
500 $a Source: Masters Abstracts International, Volume: 81-12.
500 $a Advisor: Smith, Adam.
502 $a Thesis (M.F.A.)--Rochester Institute of Technology, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a The development of technology has changed the way viewers consume video contents. With the rising of streaming services, video contents are gathered in one big platform, making them much more accessible than ever before. However, in the meantime, the ever increasing content choices on streaming services overwhelm and frustrate us, reducing our satisfaction with the experience. In addition, as recently as just a few years ago, television was a communal experience. We would watch TV together, on one shared screen. Now, we are isolated when using video streaming services on personal screens.This project is aimed to enhance viewing experience on streaming service by providing more precise and relevant movie recommendation based on viewer's social networking, and leveraging video contents as the bridge to develop shared experience and foster greater social engagement.The outcomes will demonstrate a series of functionalities that allow users to refer to their friend's viewing activities and reviews as options for movies, open up vivid conversations with friends by easily capturing and sharing memorable scenes from movies, as well as expand social connections based primarily on affinity in movie preferences for greater social engagement and richer viewing experience.
590 $a School code: 0465.
650 4 $a Design. $3 518875
650 4 $a Mass communications. $3 3422380
653 $a Interaction design
653 $a Movie recommendation
653 $a Social filtering
653 $a Streaming service
653 $a User experience design
653 $a User interface design
690 $a 0389
690 $a 0708
710 2 $a Rochester Institute of Technology. $b Visual Communication Design. $3 3347532
773 0 $t Masters Abstracts International $g 81-12.
790 $a 0465
791 $a M.F.A.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27961824