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Leverage Social Filtering to Enhance...

Chen, Wen-Hua.

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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.
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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.
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