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» Search advertising using web relevance feedback
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WWW
2008
ACM
14 years 10 months ago
Mining the search trails of surfing crowds: identifying relevant websites from user activity
The paper proposes identifying relevant information sources from the history of combined searching and browsing behavior of many Web users. While it has been previously shown that...
Mikhail Bilenko, Ryen W. White
IADIS
2004
13 years 11 months ago
Relevant information retrieval for cooperative Web architecture
We describe an approach for constructing search spaces that consist of highly relevant web pages using similarities between the contents of linked web pages to represent their lin...
Aki Kobayashi, Kuangmin Tan, Katsunori Yamaoka, Yo...
WWW
2005
ACM
14 years 10 months ago
Adaptive filtering of advertisements on web pages
We present a browser extension to dynamically learn to filter unwanted images (such as advertisements or flashy graphics) based on minimal user feedback. To do so, we apply the we...
Babak Esfandiari, Richard Nock
WWW
2009
ACM
14 years 10 months ago
A dynamic bayesian network click model for web search ranking
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
Olivier Chapelle, Ya Zhang
FQAS
2009
Springer
137views Database» more  FQAS 2009»
14 years 2 months ago
Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System
Relevance Feedback (RF) is a technique allowing to enrich an initial query according to the user feedback in order to get results closer to the user’s information need. This pape...
Luis M. de Campos, Juan M. Fernández-Luna, ...