Using frequency-of-mention in public conversations for social filtering

Will Hill; Loren Terveen

doi:10.1145/240080.240229

Using frequency-of-mention in public conversations for social filtering

Will Hill
, Loren Terveen

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

34 Scopus citations

Abstract

We report on an investigation of using Usenet newsgroups for social filtering of Web resources. Our main empirical results are: (1) for the period of May '96 to Jul '96, about 23% of Usenet news messages mention Web resources, (2) 19% of resource mentions are recommendations (as opposed, e.g., to home pages), (3) we can automatically recognize recommendations with at least 90% accuracy, and (4) in some newsgroups, certain resources are mentioned significantly more frequently than others and thus appear to play a central role for that community. We have created a Web site that summarizes the most frequently and recently mentioned Web resources for 1400 newsgroups.

Original language	English (US)
Title of host publication	Proceedings of the 1996 ACM conference on Computer supported cooperative work, CSCW 1996
Publisher	ACM
Pages	106-112
Number of pages	7
ISBN (Electronic)	9780897917650
DOIs	https://doi.org/10.1145/240080.240229
State	Published - Nov 16 1996
Event	1996 ACM Conference on Computer Supported Cooperative Work, CSCW 1996 - Boston, MA, USA Duration: Nov 16 1996 → Nov 20 1996

Publication series

Name	Proceedings of the ACM Conference on Computer Supported Cooperative Work

Conference

Conference	1996 ACM Conference on Computer Supported Cooperative Work, CSCW 1996
City	Boston, MA, USA
Period	11/16/96 → 11/20/96

Publisher link

10.1145/240080.240229

Find It

Find It at U of M Libraries

Cite this

Using frequency-of-mention in public conversations for social filtering. / Hill, Will; Terveen, Loren.
Proceedings of the 1996 ACM conference on Computer supported cooperative work, CSCW 1996. ACM, 1996. p. 106-112 (Proceedings of the ACM Conference on Computer Supported Cooperative Work).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hill, W & Terveen, L 1996, Using frequency-of-mention in public conversations for social filtering. in Proceedings of the 1996 ACM conference on Computer supported cooperative work, CSCW 1996. Proceedings of the ACM Conference on Computer Supported Cooperative Work, ACM, pp. 106-112, 1996 ACM Conference on Computer Supported Cooperative Work, CSCW 1996, Boston, MA, USA, 11/16/96. https://doi.org/10.1145/240080.240229

@inproceedings{d175623918a24c98989de919e32e4453,

title = "Using frequency-of-mention in public conversations for social filtering",

abstract = "We report on an investigation of using Usenet newsgroups for social filtering of Web resources. Our main empirical results are: (1) for the period of May '96 to Jul '96, about 23\% of Usenet news messages mention Web resources, (2) 19\% of resource mentions are recommendations (as opposed, e.g., to home pages), (3) we can automatically recognize recommendations with at least 90\% accuracy, and (4) in some newsgroups, certain resources are mentioned significantly more frequently than others and thus appear to play a central role for that community. We have created a Web site that summarizes the most frequently and recently mentioned Web resources for 1400 newsgroups.",

author = "Will Hill and Loren Terveen",

year = "1996",

month = nov,

day = "16",

doi = "10.1145/240080.240229",

language = "English (US)",

series = "Proceedings of the ACM Conference on Computer Supported Cooperative Work",

publisher = "ACM",

pages = "106--112",

booktitle = "Proceedings of the 1996 ACM conference on Computer supported cooperative work, CSCW 1996",

note = "1996 ACM Conference on Computer Supported Cooperative Work, CSCW 1996 ; Conference date: 16-11-1996 Through 20-11-1996",

}

TY - GEN

T1 - Using frequency-of-mention in public conversations for social filtering

AU - Hill, Will

AU - Terveen, Loren

PY - 1996/11/16

Y1 - 1996/11/16

N2 - We report on an investigation of using Usenet newsgroups for social filtering of Web resources. Our main empirical results are: (1) for the period of May '96 to Jul '96, about 23% of Usenet news messages mention Web resources, (2) 19% of resource mentions are recommendations (as opposed, e.g., to home pages), (3) we can automatically recognize recommendations with at least 90% accuracy, and (4) in some newsgroups, certain resources are mentioned significantly more frequently than others and thus appear to play a central role for that community. We have created a Web site that summarizes the most frequently and recently mentioned Web resources for 1400 newsgroups.

AB - We report on an investigation of using Usenet newsgroups for social filtering of Web resources. Our main empirical results are: (1) for the period of May '96 to Jul '96, about 23% of Usenet news messages mention Web resources, (2) 19% of resource mentions are recommendations (as opposed, e.g., to home pages), (3) we can automatically recognize recommendations with at least 90% accuracy, and (4) in some newsgroups, certain resources are mentioned significantly more frequently than others and thus appear to play a central role for that community. We have created a Web site that summarizes the most frequently and recently mentioned Web resources for 1400 newsgroups.

UR - https://www.scopus.com/pages/publications/0030384848

UR - https://www.scopus.com/pages/publications/0030384848#tab=citedBy

U2 - 10.1145/240080.240229

DO - 10.1145/240080.240229

M3 - Conference contribution

AN - SCOPUS:0030384848

T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work

SP - 106

EP - 112

BT - Proceedings of the 1996 ACM conference on Computer supported cooperative work, CSCW 1996

PB - ACM

T2 - 1996 ACM Conference on Computer Supported Cooperative Work, CSCW 1996

Y2 - 16 November 1996 through 20 November 1996

ER -

Using frequency-of-mention in public conversations for social filtering

Abstract

Publication series

Conference

Publisher link

Find It

Other files and links

Fingerprint

Cite this