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» Why we search: visualizing and predicting user behavior
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SIGIR
2010
ACM
13 years 11 months ago
Human performance and retrieval precision revisited
Several studies have found that the Cranfield approach to evaluation can report significant performance differences between retrieval systems for which little to no performance...
Mark D. Smucker, Chandra Prakash Jethani
AAAI
2010
13 years 9 months ago
Optimal Strategies for Reviewing Search Results
Web search engines respond to a query by returning more results than can be reasonably reviewed. These results typically include the title, link, and snippet of content from the t...
Jeff Huang, Anna Kazeykina
VL
2009
IEEE
126views Visual Languages» more  VL 2009»
14 years 2 months ago
Predicting reuse of end-user web macro scripts
Repositories of code written by end-user programmers are beginning to emerge, but when a piece of code is new or nobody has yet reused it, then current repositories provide users ...
Christopher Scaffidi, Christopher Bogart, Margaret...
WWW
2007
ACM
14 years 8 months ago
Information flow modeling based on diffusion rate for prediction and ranking
Information flows in a network where individuals influence each other. The diffusion rate captures how efficiently the information can diffuse among the users in the network. We p...
Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng
SIGIR
2012
ACM
11 years 10 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 ...