Recommending in an Enterprise Social Media Stream without Explicit User Feedback

Recommending in an Enterprise Social Media Stream without Explicit User Feedback

Social Media Streams allow users to share user-generated content as well as aggregate different streams into one single stream. Additional Enterprise Social Media Streams organize the stream messages into projects with different usage patterns compared to public collaboration platforms such as Twitt...

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Bibliographic Details
Main Authors: Lunze, Torsten, Katz, Philipp, Röhrborn, Dirk, Schill, Alexander
Other Authors: Technische Universität Dresden, Medienzentrum
Format: Others
Language:English
Published: Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2013
Subjects:
Konferenz
GeNeMe 2013
Neue Medien
soziale Netzwerke
Vorschlagssysteme
Unternehmen
conference
new media
social media
stream recommender system
Social Media Stream
ddc:330
rvk:QR 760
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-126221
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-126221
http://www.qucosa.de/fileadmin/data/qucosa/documents/12622/tagungsband2013_337-346.pdf

Internet

http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-126221
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-126221
http://www.qucosa.de/fileadmin/data/qucosa/documents/12622/tagungsband2013_337-346.pdf

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