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SIGIR
2012
ACM
11 years 11 months ago
Improving searcher models using mouse cursor activity
Web search components such as ranking and query suggestions analyze the user data provided in query and click logs. While this data is easy to collect and provides information abo...
Jeff Huang, Ryen W. White, Georg Buscher, Kuansan ...
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
14 years 9 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
WWW
2006
ACM
14 years 9 months ago
Automatic identification of user interest for personalized search
One hundred users, one hundred needs. As more and more topics are being discussed on the web and our vocabulary remains relatively stable, it is increasingly difficult to let the ...
Feng Qiu, Junghoo Cho
SIGIR
2010
ACM
14 years 20 days ago
Freshness matters: in flowers, food, and web authority
The collective contributions of billions of users across the globe each day result in an ever-changing web. In verticals like news and real-time search, recency is an obvious sign...
Na Dai, Brian D. Davison
SIGIR
2010
ACM
14 years 20 days ago
Capturing page freshness for web search
Freshness has been increasingly realized by commercial search engines as an important criteria for measuring the quality of search results. However, most information retrieval met...
Na Dai, Brian D. Davison