Article

Free access

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

Authors:

Will Hill,

Loren TerveenAuthors Info & Claims

CSCW '96: Proceedings of the 1996 ACM conference on Computer supported cooperative work

Pages 106 - 112

https://doi.org/10.1145/240080.240229

Published: 16 November 1996 Publication History

PDF eReader

References

[1]

Allen, R.B. (1990) User models: Theory, method and practice, International Journal of Man-Machine Studies, 32, 511-543.

Digital Library

Google Scholar

[2]

Brothers, L., Hollan, J., Nielsen, J., Stometta, S., Abney, S., Furnas, G., and Littman, M., Supporting informal communication via ephemeral interest groups. Proc. ACM CS65V' 92 Conf. Computer-Supported Cooperative Work (Toronto, Canada, 1P4 November 1992), 84-90.

Digital Library

Google Scholar

[3]

William W. Cohen. Learning to Classify English Text with ILP Methods, In: Advances in Inductive Logic Programming (Ed. L. De Raedt), IOS Press, 1995, to appear in lOS Frontiers in AI and Applications series.

Google Scholar

[4]

Fumas, G., (1995) View Navigable interfaces, private communication.

Google Scholar

[5]

Goldberg, D., Nichols, D., Oki, B.M. and Terry, D. (1992) Using Collaborative Filtering to Weave an Information Tapestry. Communications of the A CM, 35, 12, pp. 51-60.

Digital Library

Google Scholar

[6]

Grudin, J., Social Evaluation of the User Interface: Who Does the Work and Who Gets the BENEFIT?, Proceedings of IFIP INTERACT'87: Human-Computer Interaction, 1987, 805-811.

Crossref

Google Scholar

[7]

Hill, W.C., Stead, L., Rosenstein, M. and Fumas, G. Recommending and Evaluating Choices in a Virtual Community of Use. In: Proceedings of the ACM Conference on Human Factors in Computing Systems, CH1'95. ACM Press, New York City, New York, pp. 194-201.

Digital Library

Google Scholar

[8]

Hill, W. C., Hollan, J. D., Wroblewski, D., and McCandless, T. (1992) Edit Wear and Read Wear. In: Proceedings of ACM Conference on Human Factors in Computing Systems, CHI'92. ACM Press, New York City, New York, pp.3-9.

Crossref

Google Scholar

[9]

Hill, W.C., Hollan, J.D. (1994) History-Enriched Digital Objects: Prototypes and Policy Issues, The Information Society, 10, pp. 139-145.

Crossref

Google Scholar

[10]

Malone, T.W., Grant, K.R., Turbak, F.A., Brobst, S.A. and Cohen, M.D. (1987) Intelligent Information Sharing Systems. Communications of the ACM, 30, 5, pp. 390-402.

Digital Library

Google Scholar

[11]

Maltz, D., and Ehrlich, K. Pointing the Way: Active Collaborative Filtering. In: Proceedings of the A CM Conference on Human Factors in Computing Systems, CHI'95. ACM Press, New York City, New York, pp. 202-209.

Digital Library

Google Scholar

[12]

Morita, M., Shinoda, Y. (1994) Information Filtering Based on User Behavior Analysis and Best Match Text Retrieval, Proceedings of the 17th Annual International SIGIR Conference on Research and Development, pp. 272-281.

Digital Library

Google Scholar

[13]

Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., Riedl, J. (1994) GroupLens: An Open Architecture for Collaborative Filtering of Netnews. In: Proceeding of the A CM 1994 Conference on Computer Supported Cooperative Work. pp. 175-186.

Crossref

Google Scholar

[14]

Rheingold, H., (1993) The virtual community: homesteading on the electronic frontier, Reading Mass" Addison-Wesley.

Digital Library

Google Scholar

[15]

Shardanand, U., and Maes, P. Social Information Filtering: Algorithms for Automating "Word of Mouth". In: Proceedings of the ACM Conference on Human Factors in Computing Systems, CHI'95. ACM Press, New York City, New York, pp. 210-217.

Digital Library

Google Scholar

[16]

Wittenburg, K., Das, D., Hill, W., Stead, L. Group Asynchronous Browsing on the World Wide Web. in: Fourth international Worm Wide Web Conference Proceedings. O'Reilly & Associates, New York City, New York, pp. 51-62.

Google Scholar

[17]

Wroblewski, D., McCandless, T., Hill, W. (1994) Advertisements, Proxies and Wear: Three Methods for Feedback in Interactive Systems, in Dialogue and Instruction, Beun, R., Baker, M., and Reiner, M. editors. Springer- Verlag (forthcoming).

Google Scholar

Cited By

View all

Yadav N(2023)“Harnessing Customer Feedback for Product Recommendations: An Aspect-Level Sentiment Analysis Framework”Human-Centric Intelligent Systems10.1007/s44230-023-00018-23:2(57-67)Online publication date: 27-Mar-2023
https://doi.org/10.1007/s44230-023-00018-2
Peng LLi Y(2022)Policy Evolution and Intensity Evaluation of the Chinese New Energy Vehicle Industry Policy: The Angle of the Dual-Credit PolicyWorld Electric Vehicle Journal10.3390/wevj1305009013:5(90)Online publication date: 16-May-2022
https://doi.org/10.3390/wevj13050090
Ben Kharrat FElkhleifi AFaiz R(2020)Improving Collaborative Filtering AlgorithmsNatural Language Processing10.4018/978-1-7998-0951-7.ch031(638-657)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-0951-7.ch031
Show More Cited By

Index Terms

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

Recommendations

Building task-specific interfaces to high volume conversational data
CHI '97: Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Involving remote users in continuous design of web content
DIS '97: Proceedings of the 2nd conference on Designing interactive systems: processes, practices, methods, and techniques
Experiments in social data mining: The TopicShop system

Social data mining systems enable people to share opinions and benefit from each other's experience. They do this by mining and redistributing information from computational records of social activity such as Usenet messages, system usage history, ...

Comments

Information & Contributors

Information

Published In

CSCW '96: Proceedings of the 1996 ACM conference on Computer supported cooperative work

November 1996

450 pages

ISBN:0897917650

DOI:10.1145/240080

Chairmen:
Gary Olson
Univ. of Michigan
,
Judy Olson
Univ. of Michigan
,
Editor:
Mark S. Ackerman
Univ. of California, Irvine

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 November 1996

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

CSCW96

Sponsor:

CSCW96: Computer-Supported Cooperative Work 96

November 16 - 20, 1996

Massachusetts, Boston, USA

Acceptance Rates

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

Upcoming Conference

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

54
Total Citations
View Citations
882
Total Downloads

Downloads (Last 12 months)96
Downloads (Last 6 weeks)14

Reflects downloads up to 16 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Yadav N(2023)“Harnessing Customer Feedback for Product Recommendations: An Aspect-Level Sentiment Analysis Framework”Human-Centric Intelligent Systems10.1007/s44230-023-00018-23:2(57-67)Online publication date: 27-Mar-2023
https://doi.org/10.1007/s44230-023-00018-2
Peng LLi Y(2022)Policy Evolution and Intensity Evaluation of the Chinese New Energy Vehicle Industry Policy: The Angle of the Dual-Credit PolicyWorld Electric Vehicle Journal10.3390/wevj1305009013:5(90)Online publication date: 16-May-2022
https://doi.org/10.3390/wevj13050090
Ben Kharrat FElkhleifi AFaiz R(2020)Improving Collaborative Filtering AlgorithmsNatural Language Processing10.4018/978-1-7998-0951-7.ch031(638-657)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-0951-7.ch031
Lizzo RLiechty T(2020)The Hogwarts Running Club and Sense of Community: A Netnography of a Virtual CommunityLeisure Sciences10.1080/01490400.2020.175575144:7(959-976)Online publication date: 28-Apr-2020
https://doi.org/10.1080/01490400.2020.1755751
Feng ZGuan NLv MLiu WDeng QLiu XYi W(2018)An Efficient UAV Hijacking Detection Method Using Onboard Inertial Measurement UnitACM Transactions on Embedded Computing Systems10.1145/328939017:6(1-19)Online publication date: 8-Dec-2018
https://dl.acm.org/doi/10.1145/3289390
Sun HHuang JQin XXie C(2018)DLSpaceACM Transactions on Embedded Computing Systems10.1145/328474917:6(1-33)Online publication date: 8-Dec-2018
https://dl.acm.org/doi/10.1145/3284749
Ben Kharrat FElkhleifi AFaiz R(2016)Improving Collaborative Filtering AlgorithmsInternational Journal of Knowledge Society Research10.4018/IJKSR.20160701077:3(99-118)Online publication date: Jul-2016
https://doi.org/10.4018/IJKSR.2016070107
Kharrat FElkhleifi AFaiz R(2016)Improving Collaborative Filtering Algorithms2016 12th International Conference on Semantics, Knowledge and Grids (SKG)10.1109/SKG.2016.024(109-114)Online publication date: Aug-2016
https://doi.org/10.1109/SKG.2016.024
Ben Kharrat FElkhleifi AFaiz R(2016)Recommendation system based contextual analysis of Facebook comment2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)10.1109/AICCSA.2016.7945792(1-6)Online publication date: Nov-2016
https://doi.org/10.1109/AICCSA.2016.7945792
Ben Kharrat FElkhlifi AFaiz R(2016)Empirical Study of Social Collaborative Filtering AlgorithmIntelligent Information and Database Systems10.1007/978-3-662-49390-8_8(85-95)Online publication date: 2016
https://doi.org/10.1007/978-3-662-49390-8_8
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Building task-specific interfaces to high volume conversational data

Involving remote users in continuous design of web content

Experiments in social data mining: The TopicShop system