A hybrid preference-aware recommendation algorithm for live streaming channels

Tzu Wei Yang; Wen Yuah Shih; Jiun-Long Huang; Wei Chih Ting; Pin Chuan Liu

doi:10.1109/TAAI.2013.46

A hybrid preference-aware recommendation algorithm for live streaming channels

Tzu Wei Yang
, Wen Yuah Shih
, Jiun-Long Huang
, Wei Chih Ting
, Pin Chuan Liu

Department of Computer Science

Research output: Contribution to conference › Paper › peer-review

13 Scopus citations

Abstract

With the advances of video streaming technology, live streaming services also become more and more popular. However, there may be thousands of online channels at the same time, and most viewers are not willing to go through one by one for finding the channels they are interested in. In view of this, we propose a hybrid preference-aware recommendation algorithm to recommend channels to viewers. We use logs of a live streaming service, Twitch. TV, to measure the performance of our algorithm and other existing algorithms, and experimental results show that the accuracy of our algorithm is higher than those of other algorithms.

Original language	English
Pages	188-193
Number of pages	6
DOIs	https://doi.org/10.1109/TAAI.2013.46
State	Published - 2013
Event	2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013 - Taipei, Taiwan Duration: 6 Dec 2013 → 8 Dec 2013

Conference

Conference	2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013
Country/Territory	Taiwan
City	Taipei
Period	6/12/13 → 8/12/13

Keywords

live streaming service
personal preference
recommender system

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10.1109/TAAI.2013.46

Cite this

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title = "A hybrid preference-aware recommendation algorithm for live streaming channels",

abstract = "With the advances of video streaming technology, live streaming services also become more and more popular. However, there may be thousands of online channels at the same time, and most viewers are not willing to go through one by one for finding the channels they are interested in. In view of this, we propose a hybrid preference-aware recommendation algorithm to recommend channels to viewers. We use logs of a live streaming service, Twitch. TV, to measure the performance of our algorithm and other existing algorithms, and experimental results show that the accuracy of our algorithm is higher than those of other algorithms.",

keywords = "live streaming service, personal preference, recommender system",

author = "Yang, \{Tzu Wei\} and Shih, \{Wen Yuah\} and Jiun-Long Huang and Ting, \{Wei Chih\} and Liu, \{Pin Chuan\}",

year = "2013",

doi = "10.1109/TAAI.2013.46",

language = "English",

pages = "188--193",

note = "2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013 ; Conference date: 06-12-2013 Through 08-12-2013",

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AU - Yang, Tzu Wei

AU - Shih, Wen Yuah

AU - Huang, Jiun-Long

AU - Ting, Wei Chih

AU - Liu, Pin Chuan

PY - 2013

Y1 - 2013

N2 - With the advances of video streaming technology, live streaming services also become more and more popular. However, there may be thousands of online channels at the same time, and most viewers are not willing to go through one by one for finding the channels they are interested in. In view of this, we propose a hybrid preference-aware recommendation algorithm to recommend channels to viewers. We use logs of a live streaming service, Twitch. TV, to measure the performance of our algorithm and other existing algorithms, and experimental results show that the accuracy of our algorithm is higher than those of other algorithms.

AB - With the advances of video streaming technology, live streaming services also become more and more popular. However, there may be thousands of online channels at the same time, and most viewers are not willing to go through one by one for finding the channels they are interested in. In view of this, we propose a hybrid preference-aware recommendation algorithm to recommend channels to viewers. We use logs of a live streaming service, Twitch. TV, to measure the performance of our algorithm and other existing algorithms, and experimental results show that the accuracy of our algorithm is higher than those of other algorithms.

KW - live streaming service

KW - personal preference

KW - recommender system

UR - https://www.scopus.com/pages/publications/84899420936

U2 - 10.1109/TAAI.2013.46

DO - 10.1109/TAAI.2013.46

M3 - Paper

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T2 - 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013

Y2 - 6 December 2013 through 8 December 2013

ER -

A hybrid preference-aware recommendation algorithm for live streaming channels

Abstract

Conference

Keywords

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