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TSP
2008
178views more  TSP 2008»
15 years 4 months ago
Heteroscedastic Low-Rank Matrix Approximation by the Wiberg Algorithm
Abstract--Low-rank matrix approximation has applications in many fields, such as 2D filter design and 3D reconstruction from an image sequence. In this paper, one issue with low-ra...
Pei Chen
PODS
2012
ACM
276views Database» more  PODS 2012»
13 years 7 months ago
Randomized algorithms for tracking distributed count, frequencies, and ranks
We show that randomization can lead to significant improvements for a few fundamental problems in distributed tracking. Our basis is the count-tracking problem, where there are k...
Zengfeng Huang, Ke Yi, Qin Zhang
SIGIR
2012
ACM
13 years 7 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
WWW
2003
ACM
16 years 5 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...
AIRWEB
2008
Springer
15 years 6 months ago
Robust PageRank and locally computable spam detection features
Since the link structure of the web is an important element in ranking systems on search engines, web spammers widely use the link structure of the web to increase the rank of the...
Reid Andersen, Christian Borgs, Jennifer T. Chayes...