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» Rank aggregation methods for the Web
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EMNLP
2009
14 years 7 months ago
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...
WWW
2006
ACM
15 years 10 months ago
BuzzRank ... and the trend is your friend
Ranking methods like PageRank assess the importance of Web pages based on the current state of the rapidly evolving Web graph. The dynamics of the resulting importance scores, how...
Klaus Berberich, Srikanta J. Bedathur, Michalis Va...
WEBI
2001
Springer
15 years 1 months ago
Knowledge-Based Validation, Aggregation, and Visualization of Meta-data: Analyzing a Web-Based Information System
As meta-data become of ever more importance to the Web, we will need to start managing such meta-data. We argue that there is a strong need for meta-data validation and aggregation...
Heiner Stuckenschmidt, Frank van Harmelen
CIKM
2004
Springer
15 years 2 months ago
Node ranking in labeled directed graphs
Our work is motivated by the problem of ranking hyperlinked documents for a given query. Given an arbitrary directed graph with edge and node labels, we present a new flow-based ...
Krishna Prasad Chitrapura, Srinivas R. Kashyap
COLING
2010
14 years 4 months ago
FactRank: Random Walks on a Web of Facts
Fact collections are mostly built using semi-supervised relation extraction techniques and wisdom of the crowds methods, rendering them inherently noisy. In this paper, we propose...
Alpa Jain, Patrick Pantel