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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
14 years 8 months ago
Ordering patterns by combining opinions from multiple sources
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
Pang-Ning Tan, Rong Jin
SIGIR
2009
ACM
14 years 2 months ago
Link analysis for private weighted graphs
Link analysis methods have been used successfully for knowledge discovery from the link structure of mutually linking entities. Existing link analysis methods have been inherently...
Jun Sakuma, Shigenobu Kobayashi
WWW
2001
ACM
14 years 8 months ago
Placing search in context: the concept revisited
We describe a new paradigm for performing search in context. In the IntelliZap system we developed, search is initiated from a text query marked by the user in a document she view...
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias...
WWW
2003
ACM
14 years 8 months ago
Adaptive ranking of web pages
In this paper, we consider the possibility of altering the PageRank of web pages, from an administrator's point of view, through the modification of the PageRank equation. It...
Ah Chung Tsoi, Gianni Morini, Franco Scarselli, Ma...