Automatic recommendation of hot topics in discussion-type newsgroups (poster session)

Authors:
Hiromi Ozaku;Masao Utiyama;Masaki Murata;Kiyotaka Uchimoto;Hitoshi Ishara
Affiliations:
Communications Research Laboratory, Ministry of Posts and Telecommunications;Communications Research Laboratory, Ministry of Posts and Telecommunications;Communications Research Laboratory, Ministry of Posts and Telecommunications;Communications Research Laboratory, Ministry of Posts and Telecommunications;Communications Research Laboratory, Ministry of Posts and Telecommunications
Venue:
IRAL '00 Proceedings of the fifth international workshop on on Information retrieval with Asian languages
Year:
2000

Citing 2
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GroupLens: applying collaborative filtering to Usenet news

Communications of the ACM
Topic search for intelligent network news reader HISHO

SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 1

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Abstract

We are developing an intelligent network news reader intended to help people use discussion-type network news more effectively. It is called HISHO and will assist users to find whole threads in Japanese discussions that are relevant to the users' interests. When users read the network news, they are usually unaware of their intentions and their searches are usually vague. It is difficult for users to find even one article that fits their interests. In this paper we define “Hot Topics” that can be used to guide users to interesting information in discussion-type newsgroups and we describe a method for getting titles of such “Hot Topics” automatically.