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ICDM
2008
IEEE
168views Data Mining» more  ICDM 2008»
14 years 2 months ago
Measuring Proximity on Graphs with Side Information
This paper studies how to incorporate side information (such as users’ feedback) in measuring node proximity on large graphs. Our method (ProSIN) is motivated by the well-studie...
Hanghang Tong, Huiming Qu, Hani Jamjoom
SIAMREV
2010
170views more  SIAMREV 2010»
13 years 2 months ago
Network Properties Revealed through Matrix Functions
The newly emerging field of Network Science deals with the tasks of modelling, comparing and summarizing large data sets that describe complex interactions. Because pairwise affin...
Ernesto Estrada, Desmond J. Higham
KDD
2009
ACM
223views Data Mining» more  KDD 2009»
14 years 8 months ago
Collaborative filtering with temporal dynamics
Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are ...
Yehuda Koren
WSDM
2012
ACM
254views Data Mining» more  WSDM 2012»
12 years 3 months ago
Maximizing product adoption in social networks
One of the key objectives of viral marketing is to identify a small set of users in a social network, who when convinced to adopt a product will influence others in the network l...
Smriti Bhagat, Amit Goyal 0002, Laks V. S. Lakshma...
PKDD
2007
Springer
143views Data Mining» more  PKDD 2007»
14 years 2 months ago
Using the Web to Reduce Data Sparseness in Pattern-Based Information Extraction
Textual patterns have been used effectively to extract information from large text collections. However they rely heavily on textual redundancy in the sense that facts have to be m...
Sebastian Blohm, Philipp Cimiano