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iCollaborate: harvesting value from enterprise web usage

Published: 19 July 2010 Publication History

Abstract

We are in a phase of 'Participatory Web' in which users add value' to the information on the web by publishing, tagging and sharing. The Participatory Web has enormous potential for an enterprise because unlike the users of the internet an enterprise is a community that shares common goals, assumptions, vocabulary and interest and has reliable user identification and mutual trust along with a central governance and incentives to collaborate. Everyday, the employees of an organization locate content relevant to their work on the web. Finding this information takes time, expertise and creativity, which costs an organization money. That is, the web pages employees find are knowledge assets owned by the enterprise. This investment in web-based knowledge assets is lost every time the enterprise fails to capture and reuse them. iCollaborate is tooled to capture user's web interaction, persist and analyze it, and feed that interaction back into the community - the enterprise.

References

[1]
P. Indyk, R. Motwani. Approximate Nearest Neighbor: Towards Removing the Curse of Dimensionality. In Proc. of the 30th Annual ACM Symposium on Theory of Computing, 1998, pp. 604--613.
[2]
B. Moore, M. V. Kleek, D. Karger, eyebrowse: http://eyebrowse.csail.mit.edu/

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  • (2011)Finding relevant information of certain types from enterprise dataProceedings of the 20th ACM international conference on Information and knowledge management10.1145/2063576.2063588(47-56)Online publication date: 24-Oct-2011

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  1. iCollaborate: harvesting value from enterprise web usage

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      cover image ACM Conferences
      SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
      July 2010
      944 pages
      ISBN:9781450301534
      DOI:10.1145/1835449
      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      New York, NY, United States

      Publication History

      Published: 19 July 2010

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      1. enterprise social data
      2. social browsing

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      SIGIR '10 Paper Acceptance Rate 87 of 520 submissions, 17%;
      Overall Acceptance Rate 792 of 3,983 submissions, 20%

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      • (2011)Finding relevant information of certain types from enterprise dataProceedings of the 20th ACM international conference on Information and knowledge management10.1145/2063576.2063588(47-56)Online publication date: 24-Oct-2011

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