CIKM
2008
Springer
13 years 7 months ago
2008
Springer
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
SIGIR
2010
ACM
13 years 9 months ago
2010
ACM
Traditional retrieval evaluation uses explicit relevance judgments which are expensive to collect. Relevance assessments inferred from implicit feedback such as click-through data...
CIKM
2004
Springer
13 years 10 months ago
2004
Springer
The performance of web search engines may often deteriorate due to the diversity and noisy information contained within web pages. User click-through data can be used to introduce...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
In the past few years there has been increased research interest in detecting previously unidentified events from Web resources. Our focus in this paper is to detect events from ...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Previous efforts on event detection from the web have focused primarily on web content and structure data ignoring the rich collection of web log data. In this paper, we propose t...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
Although most of existing research usually detects events by analyzing the content or structural information of Web documents, a recent direction is to study the usage data. In th...