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» Predicting Clicks in a Vocabulary Learning System
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WWW
2009
ACM
14 years 5 months ago
Predicting click through rate for job listings
Click Through Rate (CTR) is an important metric for ad systems, job portals, recommendation systems. CTR impacts publisher's revenue, advertiser's bid amounts in "p...
Manish S. Gupta
WWW
2007
ACM
14 years 5 months ago
Predicting clicks: estimating the click-through rate for new ads
Search engine advertising has become a significant element of the Web browsing experience. Choosing the right ads for the query and the order in which they are displayed greatly a...
Matthew Richardson, Ewa Dominowska, Robert Ragno
IUI
2006
ACM
13 years 10 months ago
Fewer clicks and less frustration: reducing the cost of reaching the right folder
Helping computer users rapidly locate files in their folder hierarchies has become an important research topic in today’s intelligent user interface design. This paper reports o...
Xinlong Bao, Jonathan L. Herlocker, Thomas G. Diet...
AIED
2011
Springer
12 years 8 months ago
Self-assessment of Motivation: Explicit and Implicit Indicators in L2 Vocabulary Learning
Self-assessment motivation questionnaires have been used in classrooms yet many researchers find only a weak correlation between answers to these questions and learning. In this pa...
Kevin Dela Rosa, Maxine Eskenazi