64 search results - page 3 / 13 » Improving Encarta Search Engine Performance by Mining User L... |
CIKM
2004
Springer
15 years 2 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...
WWW
2008
ACM
15 years 10 months ago
2008
ACM
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...
AIRWEB
2008
Springer
14 years 11 months ago
2008
Springer
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...
WWW
2010
ACM
15 years 4 months ago
2010
ACM
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
KDD
2005
ACM
15 years 9 months ago
2005
ACM
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...