research-article

Predicting individual priorities of shared activities using support vector machines

Authors:

Michael J. Muller,

Beth Brownholtz,

David R. MillenAuthors Info & Claims

CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management

Pages 515 - 524

https://doi.org/10.1145/1321440.1321513

Published: 06 November 2007 Publication History

Abstract

Activity-centric collaboration environments help knowledge workers to manage the context of their shared work activities by providing a representation for an activity and its resources. Activity management systems provide more structure and organization than email to execute the shared activity but, as the number of shared activities increases, it becomes more and more difficult for users to focus on important activities that need their attention. This paper describes a personalized activity prioritization approach implemented on top of the Lotus Connections Activities management system. Our prototype implementation allows each user to view activities ordered by her/his predicted priorities. The predictions are made using a ranking Support Vector Machine model trained with the user's past interactions with the activities system. We describe the prioritization interface and the results of an offline experiment based on data from 13 users over 6-months. Our results show that our feature set derived from shared activity structures can significantly increase prediction accuracy compared to a recency baseline.

References

[1]

Agichtein, E., Brill, E., and Dumais, S. Improving web search ranking by incorporating user behavior information. In Proceedings of the 29th Annual international ACM SIGIR Conference on Research and Development in information Retrieval (SIGIR '06), 19--26

Digital Library

[2]

Bellotti, V., Ducheneaut, N., Howard, M., and Smith, I. 2003. Taking email to task: the design and evaluation of a task management centered email tool. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI '03

Digital Library

[3]

Boardman, R., & Sasse, M. A. "Stuff goes into the computer, but it doesn't come out" A cross-tool study of personal information management. Proc CHI 2004.

Digital Library

[4]

Burges, C., Shaked, T., Renshaw, E., Lazier, A., Deeds, M., Hamilton, N., and Hullender, G. 2005. Learning to rank using gradient descent. In Proceedings of the 22nd international Conference on Machine Learning (Bonn, Germany, August 07 - 11, 2005). ICML '05, vol. 119. ACM Press, New York, NY, 89--96.

Digital Library

[5]

Cao, Y., Xu, J., Liu, T., Li, H., Huang, Y., and Hon, H. 2006. Adapting ranking SVM to document retrieval. In Proceedings of the 29th Annual international ACM SIGIR Conference on Research and Development in information Retrieval (Seattle, Washington, USA, August 06 - 11, 2006). SIGIR '06. ACM Press, New York, NY, 186--193

Digital Library

[6]

Carvalho, V. R. and Cohen, W. W. 2005. On the collective classification of email "speech acts". In Proceedings of the 28th Annual international ACM SIGIR Conference on Research and Development in information Retrieval (Salvador, Brazil, August 15 - 19, 2005). SIGIR '05. ACM Press, New York, NY, 345--352.

Digital Library

[7]

Czerwinski, M., Horvitz, E., & Wilhite, S., "A diary study of task switching and interruptions," in: Proc ACM CHI 2004.

Digital Library

[8]

Chang, C. and Lin, C. LIBSVM : a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm

Digital Library

[9]

Hsu, C., Chang C and Lin, C. "A practical guide to support vector classification" http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf

[10]

Cho, J. and Garcia-Molina, H. 2000. The Evolution of the Web and Implications for an Incremental Crawler VLDB 2000.

Digital Library

[11]

Cohen, W. W. Schapire, R. E. Singer, Y. Learning to Order Things In Advances in Neural Information Processing System 1998, pp. 451--457

Digital Library

[12]

Crammer, K. and Singer, Y. Pranking with ranking. In Proceedings of the conference on Neural Information Processing Systems (NIPS), 2001

[13]

Dragunov, A. N., Dietterich, T. G., Johnsrude, K., McLaughlin, M., Li, L., and Herlocker, J. L. 2005. TaskTracer: a desktop environment to support multi-tasking knowledge workers. In Proceedings of the 10th international Conference on intelligent User interfaces (San Diego, California, USA, January 10 - 13, 2005). IUI '05. ACM Press, New York, NY, 75--82

Digital Library

[14]

Dredze, M., Lau, T., and Kushmerick, N. 2006. Automatically classifying emails into activities. In Proceedings of the 11th international Conference on intelligent User interfaces (Sydney, Australia, January 29 - February 01, 2006). IUI '06. ACM Press, New York, NY, 70--77

Digital Library

[15]

Geyer, W., Muller, M., Moore, M., Wilcox, E., Cheng, L., Brownholtz, B., Hill, C. R., Millen, D. R., "ActivityExplorer: Activity-Centric Collaboration from Research to Product," IBM Systems Journal - Special Issue on Business Collaboration, 713--739

Digital Library

[16]

Geyer, W., Brownholtz, B., Muller, M., Dugan, C., Wilcox, E., and Millen, D. R. Malibu Personal Productivity Assistant. Accepted Work in Progress Submission, CHI 2007, San Jose, CA, April 28 - May 3, 2007.

Digital Library

[17]

Google Desktop. http://desktop.google.com/.

[18]

González, V., and Mark, G. Managing currents of work: Multi-tasking among multiple collaborations. Proc ECSCW 2005.

Digital Library

[19]

Herbrich, R. Graepel, T. and Obermayer, K. Large margin rank boundaries for ordinal regression. In Advances in Large Margin Classifiers, pp 115--132. MIT Press, Cambridge, MA, 2000.

[20]

Hudson, J. M., Christensen, J., Kellogg, W. A., and Erickson, T. 2002. "I'd be overwhelmed, but it's just one more thing to do": availability and interruption in research management. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems: Changing Our World, Changing Ourselves (Minneapolis, Minnesota, USA, April 20 - 25, 2002). CHI '02. ACM Press, New York, NY, 97--104

Digital Library

[21]

Joachims, T. Optimizing search engines using clickthrough data. In Proceedings of the Eighth ACM SIGKDD international Conference on Knowledge Discovery and Data Mining (Edmonton, Alberta, Canada, July 23 - 26, 2002). KDD '02. ACM Press, New York, NY, 133--142

Digital Library

[22]

Lotus Connections: Social Software for Business. http://www-142.ibm.com/software/sw-lotus/products/product3.nsf/wdocs/connectionshome, retrieved 4/26/2007.

[23]

McCrickard D. S. & Chewar C. M. (2003) Attuning notification design to user goals and attention costs, Communications of ACM, 46 (3), 67--72

Digital Library

[24]

Millen, D. R., Feinberg, J., and Kerr, B. 2006. Dogear: Social bookmarking in the enterprise. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Montréal, Québec, Canada, April 22 - 27, 2006). R. Grinter, T. Rodden, P. Aoki, E. Cutrell, R. Jeffries, and G. Olson, Eds. CHI '06. ACM Press, New York, NY, 111--120

Digital Library

[25]

Mitchell, T. M., Wang, S. H., Huang, Y. and Cheyer. A. Extracting knowledge about users' activities from raw workstation contents. In Proc. of AAAI-06, 2006.

Digital Library

[26]

Moore, M., Estrada, M., Finley, T., Muller, M. and Geyer, W. Next generation activity-centric computing. Demo at ACM CSCW 2006.

[27]

Moran, T. P., Cozzi, A., & Farrell, S. P. (2005), "Unified activity management: supporting people in e-business," Communications of the ACM, 48(12), pp. 67--70.

Digital Library

[28]

Muller, M. J. (2004). Activity graphs of the microstructure of complex work. Poster at CSCW 2004.

[29]

Muller, M. J., Geyer, W., Brownholtz, B., Wilcox, E., and Millen, D. R. One-hundred days in an activity-centric collaboration environment based on shared objects. Proc. CHI 2004.

Digital Library

[30]

Muller, M. J., Geyer, W., Brownholtz, B., Dugan, C., Millen, D. R., and Wilcox, E. (2007). Tag-based Metonymic Search in an Activity-Centric Aggregation Service. To appear in Proc ECSCW 2007, Limerick, Ireland, September 2007.

[31]

Quan, D., and Karger, D. R., (2003). 'Haystack: Metadata enabled information management'. Proceedings of UIST 2003.

[32]

Sen, S., Geyer, W., Muller, M. J., Moore, M., Brownholtz, B., Wilcox, E., & Millen, D. R. (2006). FeedMe: A collaborative alert filtering system. Proc. CSCW 2006.

Digital Library

[33]

Ringel, M. and Hirschberg, J. 2002. Automated message prioritization: making voicemail retrieval more efficient. In CHI '02 Extended Abstracts on Human Factors in Computing Systems (Minneapolis, Minnesota, USA, April 20 - 25, 2002). CHI '02. ACM Press, New York, NY, 592--593

Digital Library

[34]

Vapnik, V. 1998. Statistical Learning Theory. Wiley-Interscience.

[35]

Whittaker, S., Sidner, C., "Email Overload: Exploring Personal Information Management of Email," Proc. CHI'96.

Digital Library

[36]

Xu, J., Cao, Y., Li, H., and Zhao, M. 2005. Ranking definitions with supervised learning methods. In Special interest Tracks and Posters of the 14th international Conference on World Wide Web (Chiba, Japan, May 10 - 14, 2005). WWW '05. ACM Press, 811--819.

Digital Library

Cited By

Neumayr TAugstein M(2020)A Systematic Review of Personalized Collaborative SystemsFrontiers in Computer Science10.3389/fcomp.2020.5626792Online publication date: 26-Nov-2020
https://doi.org/10.3389/fcomp.2020.562679
El Helou SSalzmann CSire SGillet DBergman LTuzhilin ABurke RFelfernig ASchmidt-Thieme L(2009)The 3A contextual ranking systemProceedings of the third ACM conference on Recommender systems10.1145/1639714.1639791(373-376)Online publication date: 23-Oct-2009
https://dl.acm.org/doi/10.1145/1639714.1639791
Bolinger JHorvath GRamanathan JRamnath RShin SOssowski S(2009)Collaborative workflow assistant for organizational effectivenessProceedings of the 2009 ACM symposium on Applied Computing10.1145/1529282.1529340(273-280)Online publication date: 8-Mar-2009
https://dl.acm.org/doi/10.1145/1529282.1529340

Index Terms

Predicting individual priorities of shared activities using support vector machines
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces
2. Mathematics of computing
  1. Probability and statistics

Recommendations

Improving Supervised Classification of Activities of Daily Living Using Prior Knowledge

The increase in life expectancy is producing a bottleneck at the entry in institutions. Therefore, telemedicine becomes a timely solution, which is largely explored to care after elderly people living independently at home. It requires identifying the ...
PAC-Bayes bounds for twin support vector machines

Twin support vector machines are regarded as a milestone in the development of support vector machines. Compared to standard support vector machines, they learn two nonparallel hyperplanes rather than one as in standard support vector machines for ...
Automatically finding and recommending resources to support knowledge workers' activities
IUI '08: Proceedings of the 13th international conference on Intelligent user interfaces

Knowledge workers perform many different activities daily. Each activity defines a distinct work context with different information needs. In this paper we leverage users' activity representations, stored in an activity management system, to ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management

November 2007

1048 pages

ISBN:9781595938039

DOI:10.1145/1321440

Co-chair:
Alberto H. F. Laender,
Conference Chairs:
André O. Falcão
Universidade de Lisboa, Portugal
,
Øystein Haug Olsen,
General Chair:
Mário J. Silva
(Universidade de Lisboa, Portugal)
,
Program Chairs:
Ricardo Baeza-Yates,
Deborah L. McGuinness,
Bjorn Olstad

Copyright © 2007 ACM.

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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2007

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

CIKM07

Sponsor:

CIKM07: Conference on Information and Knowledge Management

November 6 - 10, 2007

Lisbon, Portugal

Acceptance Rates

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

Upcoming Conference

CIKM '25

Sponsor:
sigir
sigir

The 34th ACM International Conference on Information and Knowledge Management

November 10 - 14, 2025

Seoul , Republic of Korea

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
364
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 02 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Neumayr TAugstein M(2020)A Systematic Review of Personalized Collaborative SystemsFrontiers in Computer Science10.3389/fcomp.2020.5626792Online publication date: 26-Nov-2020
https://doi.org/10.3389/fcomp.2020.562679
El Helou SSalzmann CSire SGillet DBergman LTuzhilin ABurke RFelfernig ASchmidt-Thieme L(2009)The 3A contextual ranking systemProceedings of the third ACM conference on Recommender systems10.1145/1639714.1639791(373-376)Online publication date: 23-Oct-2009
https://dl.acm.org/doi/10.1145/1639714.1639791
Bolinger JHorvath GRamanathan JRamnath RShin SOssowski S(2009)Collaborative workflow assistant for organizational effectivenessProceedings of the 2009 ACM symposium on Applied Computing10.1145/1529282.1529340(273-280)Online publication date: 8-Mar-2009
https://dl.acm.org/doi/10.1145/1529282.1529340

View Options

Login options

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

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten