Dogear: Social bookmarking in the enterprise

@article{Millen2006DogearSB,
  title={Dogear: Social bookmarking in the enterprise},
  author={David R. Millen and Jonathan Feinberg and Bernard Kerr},
  journal={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
  year={2006}
}
We describe a social bookmarking service de-signed for a large enterprise. We discuss design principles addressing online identity, privacy, information discovery (including search and pivot browsing), and service extensi-bility based on a web-friendly architectural style. In addi-tion we describe the key design features of our implementa-tion. We provide the results of an eight week field trial of this enterprise social bookmarking service, including a de-scription of user activities, based on… 

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References

SHOWING 1-10 OF 13 REFERENCES

Information archiving with bookmarks: personal Web space construction and organization

Bookmarks are used as "personal Web information spaces" to help people remember and retrieve interesting Web pages. A study of personal Web information spaces surveyed 322 Web users and analyzed the

Supporting cooperative and personal surfing with a desktop assistant

TLDR
The design of an assistant called Vistabar, which lives on the Windows desktop and operates on the currently active web browser, and how such a too1 may be used to support activities in both cooperative and personal surfing is described.

The Structure of Collaborative Tagging Systems

TLDR
A dynamical model of collaborative tagging is presented that predicts regularities in user activity, tag frequencies, kinds of tags used, bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given url.

A generic alerting service for digital libraries

  • G. BuchananA. Hinze
  • Computer Science
    Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05)
  • 2005
TLDR
The range of issues surrounding alerting services for digital libraries, their design and use is greater than one may anticipate and the far-reaching implications for the design of, and interaction with, libraries are highlighted.

A multi-agent system for collaborative bookmarking

TLDR
A new distributed collaborative bookmark system, called COWING (for COllaborative Web IndexING system), composed of a set of assistant agents, called WINGS, and a central agent that manages the user's organization.

Social Network Analysis: Methods and Applications

TLDR
This paper presents mathematical representation of social networks in the social and behavioral sciences through the lens of dyadic and triadic interaction models, which provide insights into the structure and dynamics of relationships between actors and groups.

Stimulating social engagement in a community network

TLDR
Three important ways to encourage and support social engagement in online communities are described: through system design elements such as conversation channeling and event notification, by various selection criteria for community members, and through facilitation of specific kinds of discussion topics.

Lurker demographics: counting the silent

TLDR
This paper presents a demographic study of lurking in email-based discussion lists (DLs) with an emphasis on health and software-support DLs, finding that health-supportDLs have on average significantly fewer lurkers than software- support DLs.