Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Online Learning with Social Computing-Based Internet Sharing.

Online Learning with Social Computing-Based Internet Sharing.

Muhlestein, Dennis J.

Paperback

General Science

Currently unavailable to order

ISBN10: 1243396210
ISBN13: 9781243396211
Publisher: Proquest Umi Dissertation Pub
Pages: 54
Weight: 0.25
Height: 0.11 Width: 7.44 Depth: 9.69
Language: English
Communities on the Internet are highly self-organizing, dynamic and ubiquitous. One objective of peers in such a community is sharing common interests, even when compromising privacy. This thesis presents a model for peers on the Internet that allows them to discover their common interests in terms of sets of frequently visited URLs. This model assists online learning by automatically presenting users with URLs related to what they are currently browsing, thus saving users time searching for additional information and helping to educate them on the current topic. To implement the model and collect test data, Fire-Share was developed as a plugin for the popular Web browser FireFox. Data was collected and analyzed for a comparison of the number of discovered frequently visited URL sets and association rules with the overhead induced by the network. While FireShare moderately validated the proposed model, analysis of the submitted test data shows high potential for success with future versions.

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