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WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
16 years 4 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
AIRWEB
2008
Springer
15 years 8 months ago
Query-log mining for detecting spam
Every day millions of users search for information on the web via search engines, and provide implicit feedback to the results shown for their queries by clicking or not onto them...
Carlos Castillo, Claudio Corsi, Debora Donato, Pao...
STOC
2009
ACM
102views Algorithms» more  STOC 2009»
16 years 7 months ago
Multiple intents re-ranking
One of the most fundamental problems in web search is how to re-rank result web pages based on user logs. Most traditional models for re-ranking assume each query has a single int...
Yossi Azar, Iftah Gamzu, Xiaoxin Yin
AIRWEB
2009
Springer
16 years 1 months ago
Looking into the past to better classify web spam
Web spamming techniques aim to achieve undeserved rankings in search results. Research has been widely conducted on identifying such spam and neutralizing its influence. However,...
Na Dai, Brian D. Davison, Xiaoguang Qi
SIGIR
2011
ACM
14 years 9 months ago
Why searchers switch: understanding and predicting engine switching rationales
Search engine switching is the voluntary transition between Web search engines. Engine switching can occur for a number of reasons, including user dissatisfaction with search resu...
Qi Guo, Ryen W. White, Yunqiao Zhang, Blake Anders...