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CIKM
2009
Springer
14 years 2 months ago
Exploring relevance for clicks
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...
Rongwei Cen, Yiqun Liu, Min Zhang, Bo Zhou, Liyun ...
WWW
2008
ACM
14 years 8 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
IRI
2007
IEEE
14 years 1 months ago
Automated Multimedia Systems Training Using Association Rule Mining
User feedback is widely deployed in recent multimedia research to refine retrieval performance. However, most of the existing online learning algorithms handle interactions of a s...
Na Zhao, Shu-Ching Chen, Stuart Harvey Rubin
SIGIR
2008
ACM
13 years 7 months ago
Intuition-supporting visualization of user's performance based on explicit negative higher-order relevance
Modeling the beyond-topical aspects of relevance are currently gaining popularity in IR evaluation. For example, the discounted cumulated gain (DCG) measure implicitly models some...
Heikki Keskustalo, Kalervo Järvelin, Ari Pirk...
ICSE
2012
IEEE-ACM
11 years 10 months ago
Predicting performance via automated feature-interaction detection
Abstract—Customizable programs and program families provide user-selectable features to allow users to tailor a program to an application scenario. Knowing in advance which featu...
Norbert Siegmund, Sergiy S. Kolesnikov, Christian ...