Presentation 2014-06-21
Recommendation System for Live Discussion Channels on Internet
Yukako TSUJIHATA, Yamato MIYASHITA, Masato YAMANOUCHI, Naohisa OHTA,
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Abstract(in English) In this paper, we propose a recommendation system for live discussion channels on Internet. Because of the large number of channels and the variability of topics in live discussion channels, it is difficult to use existing recommendation systems. Our system aims to recommend a channel which matches user's interest by analyzing channels' live comments on Internet. The system was designed and implemented using Latent Semantic Analysis, Morphological Analysis, Web Crawler technologies. We confirmed that our system is effective as a new recommendation system for Internet live discussion channels through experiments based on the actual live channels and users experiences.
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Keyword(in English) Live Streaming / Discussion / Recommendation System / Topic Extraction
Paper # DE2014-11
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Committee DE
Conference Date 2014/6/14(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Recommendation System for Live Discussion Channels on Internet
Sub Title (in English)
Keyword(1) Live Streaming
Keyword(2) Discussion
Keyword(3) Recommendation System
Keyword(4) Topic Extraction
1st Author's Name Yukako TSUJIHATA
1st Author's Affiliation Graduate School of Media Design, Keio University()
2nd Author's Name Yamato MIYASHITA
2nd Author's Affiliation Graduate School of Science and Technology, Keio University
3rd Author's Name Masato YAMANOUCHI
3rd Author's Affiliation Graduate School of Media Design, Keio University
4th Author's Name Naohisa OHTA
4th Author's Affiliation Graduate School of Media Design, Keio University
Date 2014-06-21
Paper # DE2014-11
Volume (vol) vol.114
Number (no) 101
Page pp.pp.-
#Pages 6
Date of Issue