TY - CONF AU - Wu, Harris AU - Zubair, Mohammad AU - Maly, Kurt A2 - Wiil, Uffe Kock A2 - Nürnberg, Peter J. A2 - Rubart, Jessica T1 - Harvesting social knowledge from folksonomies. T2 - Hypertext PB - ACM CY - PY - 2006/ M2 - VL - IS - SP - 111 EP - 114 UR - http://dblp.uni-trier.de/db/conf/ht/ht2006.html#WuZM06 M3 - KW - directed KW - graph KW - hits KW - ranking KW - toread L1 - SN - 1-59593-417-0 N1 - N1 - AB - ER - TY - GEN AU - Langville, Amy N. AU - Meyer, Carl D. A2 - T1 - A Survey of Eigenvector Methods of Web Information Retrieval JO - The SIAM Review PB - AD - PY - 2005/ VL - 47 IS - 1 SP - 135 EP - 161 UR - http://www.cofc.edu/~langvillea/surveyEVwebIRReprint.pdf M3 - KW - web KW - svd KW - pagerank KW - ir KW - eigenvector KW - salsa KW - lsi KW - **** KW - hits L1 - N1 - Amy N. Langville's homepage N1 - AB - Web information retrieval is significantly more challenging than traditional well-controlled,
small document collection information retrieval. One main difference between traditional
information retrieval and Web information retrieval is the Web’s hyperlink structure. This
structure has been exploited by several of today’s leading Web search engines, particularly
Google and Teoma. In this survey paper, we focus on Web information retrieval methods
that use eigenvector computations, presenting the three popular methods of HITS,
PageRank, and SALSA. ER - TY - CONF AU - Almeida, Rodrigo B. AU - Almeida, Virgilio A. F. A2 - T1 - A community-aware search engine T2 - Proceedings of the 13th international conference on World Wide Web PB - ACM Press CY - New York, NY, USA PY - 2004/ M2 - VL - IS - SP - 413 EP - 421 UR - http://doi.acm.org/10.1145/988672.988728 M3 - KW - search KW - engine KW - detection KW - hits KW - community KW - network L1 - SN - 1-58113-844-X N1 - N1 - AB -
Current search technologies work in a "one size fits all" fashion. Therefore, the answer to a query is independent of specific user information need. In this paper we describe a novel ranking technique for personalized search servicesthat combines content-based and community-based evidences. The community-based information is used in order to provide context for queries andis influenced by the current interaction of the user with the service. Ouralgorithm is evaluated using data derived from an actual service available on the Web an online bookstore. We show that the quality of content-based ranking strategies can be improved by the use of communityinformation as another evidential source of relevance. In our experiments the improvements reach up to 48% in terms of average precision.
ER -
TY - GEN
AU - Almeida, R.B.
AU - Almeida, V.A.F.
A2 -
T1 - Design and evaluation of a user-based community discovery technique
JO -
PB -
AD -
PY - 2003/
VL -
IS -
SP - 17
EP - 23
UR - citeseer.ist.psu.edu/almeida03design.html
M3 -
KW - detection
KW - hits
KW - community
KW - network
L1 -
N1 -
N1 -
AB -
ER -
TY - CONF
AU - Borodin, Allan
AU - Roberts, Gareth O.
AU - Rosenthal, Jeffrey S.
AU - Tsaparas, Panayiotis
A2 -
T1 - Finding authorities and hubs from link structures on the World Wide Web
T2 - Proceedings of the 10th international conference on World Wide Web
PB - ACM Press
CY - New York, NY, USA
PY - 2001/
M2 -
VL -
IS -
SP - 415
EP - 429
UR - http://doi.acm.org/10.1145/371920.372096
M3 -
KW - detection
KW - hits
KW - community
KW - network
L1 -
SN -
N1 -
N1 -
AB -
ER -
TY - JOUR
AU - Kleinberg, Jon M.
T1 - Authoritative sources in a hyperlinked environment
JO - J. ACM
PY - 1999/10
VL - 46
IS -
SP - 604
EP - 632
UR - http://doi.acm.org/10.1145/324133.324140
M3 - 10.1145/324133.324140
KW - authorities
KW - hits
KW - hubs
KW - kleinberg
KW - sna
L1 -
SN -
N1 - Authoritative sources in a hyperlinked environment
N1 -
AB -