TY  - CHAP
AU  - Coyle, Maurice
AU  - Freyne, Jill
AU  - Brusilovsky, Peter
AU  - Smyth, Barry
A2  - 
T1  - Social Information Access for the Rest of Us: An Exploration of Social YouTube
T2  - 
PB  - 
CY  - 
PY  - 2008/
VL  - 
IS  - 
SP  - 93
EP  - 102
UR  - http://www.springerlink.com/content/6h410u3w4836v866/
M3  - http://dx.doi.org/10.1007/978-3-540-70987-9\_12
KW  - *****
KW  - interaction
KW  - recommender
KW  - social
KW  - software
KW  - toread
KW  - youtube
L1  - 
SN  - 
N1  - 
N1  - 
AB  - The motivation behind many Information Retrieval systems is to identify and present relevant information to people given their current goals and needs. Learning about user preferences and access patterns recent technologies make it possible to model user information needs and adapt services to meet these needs. In previous work we have presented ASSIST, a general-purpose platform which incorporates various types of social support into existing information access systems and reported on our deployment experience in a highly goal driven environment (ACM Digital Library). In this work we present our experiences in applying ASSIST to a domain where goals are less focused and where casual exploration is more dominant; YouTube. We present a general study of YouTube access patterns and detail how the ASSIST architecture affected the access patterns of users in this domain.
ER  -

TY  - CONF
AU  - Witte, René
AU  - Zhang, Yonggang
AU  - Rilling, Juergen
A2  - Franconi, Enrico
A2  - Kifer, Michael
A2  - May, Wolfgang
T1  - Empowering Software Maintainers with Semantic Web Technologies
T2  - Proceedings of the European Semantic Web Conference, ESWC2007
PB  - Springer-Verlag
CY  - 
PY  - 2007/07
M2  - 
VL  - 4519
IS  - 
SP  - 
EP  - 
UR  - http://www.eswc2007.org/pdf/eswc07-witte.pdf
M3  - 
KW  - maintainers
KW  - nlp
KW  - software
KW  - toread
L1  - 
SN  - 
N1  - 
N1  - 
AB  - 
ER  -

TY  - JOUR
AU  - Bächle, Michael
T1  - Social Software
JO  - Informatik-Spektrum
PY  - 2006/04
VL  - 29
IS  - 2
SP  - 121
EP  - 124
UR  - http://dx.doi.org/10.1007/s00287-006-0063-2
M3  - 
KW  - 2.0
KW  - social
KW  - software
KW  - web
L1  - 
SN  - 
N1  - 
N1  - 
AB  - Zusammenfassung  Ausgehend vom Begriff des Web 2.0 werden die Merkmale und Möglichkeiten sog. Social Software vorgestellt. Der Beitrag erläutert
<p>den Begriff und gibt einen Überblick über die unterschiedlichen Arten. Merkmale und Nutzenpotentiale sowie Beispiele werdenvorgestellt.
ER  -

TY  - JOUR
AU  - Chudnov, Daniel
AU  - Barnett, Jeffrey
AU  - Prasad, Raman
AU  - Wilcox, Matthew
T1  - Experiments in academic social book marking with Unalog
JO  - Library Hi Tech
PY  - 2005/01
VL  - 23
IS  - 4
SP  - 469
EP  - 480
UR  - http://www.ingentaconnect.com/content/mcb/238/2005/00000023/00000004/art00002
M3  - 
KW  - social
KW  - folksonomy
KW  - tags
KW  - software
KW  - networks
L1  - 
SN  - 
N1  - 
N1  - 
AB  - 
ER  -

TY  - BOOK
AU  - Weiss, Sholom M.
AU  - Indurkhya, Nitin
AU  - Zhang, T.
A2  - 
T1  - Text Mining. Predictive Methods for Analyzing Unstructured Information
PB  - Springer, Berlin
AD  - 
PY  - 2004/
VL  - 
IS  - 
SP  - 
EP  - 
UR  - http://www.amazon.de/gp/redirect.html%3FASIN=0387954333%26tag=ws%26lcode=xm2%26cID=2025%26ccmID=165953%26location=/o/ASIN/0387954333%253FSubscriptionId=13CT5CVB80YFWJEPWS02
M3  - 
KW  - dm
KW  - mining
KW  - nlp
KW  - software
KW  - text
KW  - tm
L1  - 
SN  - 0387954333
N1  - Amazon.de: Text Mining. Predictive Methods for Analyzing Unstructured Information: Sholom M. Weiss,Nitin Indurkhya,T. Zhang: English Books
N1  - 
AB  - 
ER  -