Design and Implementation of Ad Recommendation on Second Screen

碩士 === 國立臺灣大學 === 電機工程學研究所 === 101 === Ad recommendation is always an interesting topic for advertisers. However, it is difficult to predict user''s intent when given little information about the user. Since the smart TV, such as Google TV or Apple TV, is becoming more and more pop...

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Main Authors: I-Ting Chou, 周怡廷
Other Authors: Sy-Yen Kuo
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/69148699494935830234
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spelling ndltd-TW-101NTU054420262016-03-16T04:15:05Z http://ndltd.ncl.edu.tw/handle/69148699494935830234 Design and Implementation of Ad Recommendation on Second Screen 應用於第二螢幕上的廣告推薦系統之設計與實作 I-Ting Chou 周怡廷 碩士 國立臺灣大學 電機工程學研究所 101 Ad recommendation is always an interesting topic for advertisers. However, it is difficult to predict user''s intent when given little information about the user. Since the smart TV, such as Google TV or Apple TV, is becoming more and more popular, there are higher probabilities for users to have access to second screen, which is an additional mobile device that can interact with the smart TV. Compared with traditional platforms, there are some novel features that we can take advantage of on second screen. We propose a framework of ad recommendation system on second screen device. The system utilizes extbf{future information} as a novel feature to recommend more appropriate ads to meet end-user''s demand. Sy-Yen Kuo 郭斯彥 2013 學位論文 ; thesis 28 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺灣大學 === 電機工程學研究所 === 101 === Ad recommendation is always an interesting topic for advertisers. However, it is difficult to predict user''s intent when given little information about the user. Since the smart TV, such as Google TV or Apple TV, is becoming more and more popular, there are higher probabilities for users to have access to second screen, which is an additional mobile device that can interact with the smart TV. Compared with traditional platforms, there are some novel features that we can take advantage of on second screen. We propose a framework of ad recommendation system on second screen device. The system utilizes extbf{future information} as a novel feature to recommend more appropriate ads to meet end-user''s demand.
author2 Sy-Yen Kuo
author_facet Sy-Yen Kuo
I-Ting Chou
周怡廷
author I-Ting Chou
周怡廷
spellingShingle I-Ting Chou
周怡廷
Design and Implementation of Ad Recommendation on Second Screen
author_sort I-Ting Chou
title Design and Implementation of Ad Recommendation on Second Screen
title_short Design and Implementation of Ad Recommendation on Second Screen
title_full Design and Implementation of Ad Recommendation on Second Screen
title_fullStr Design and Implementation of Ad Recommendation on Second Screen
title_full_unstemmed Design and Implementation of Ad Recommendation on Second Screen
title_sort design and implementation of ad recommendation on second screen
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/69148699494935830234
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