Kuldeep Karnawat
Microsoft
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Publication
Featured researches published by Kuldeep Karnawat.
ACM Transactions on Information Systems | 2005
Steve Fox; Kuldeep Karnawat; Mark B. Mydland; Susan T. Dumais; Thomas D. White
Of growing interest in the area of improving the search experience is the collection of implicit user behavior measures (implicit measures) as indications of user interest and user satisfaction. Rather than having to submit explicit user feedback, which can be costly in time and resources and alter the pattern of use within the search experience, some research has explored the collection of implicit measures as an efficient and useful alternative to collecting explicit measure of interest from users.This research article describes a recent study with two main objectives. The first was to test whether there is an association between explicit ratings of user satisfaction and implicit measures of user interest. The second was to understand what implicit measures were most strongly associated with user satisfaction. The domain of interest was Web search. We developed an instrumented browser to collect a variety of measures of user activity and also to ask for explicit judgments of the relevance of individual pages visited and entire search sessions. The data was collected in a workplace setting to improve the generalizability of the results.Results were analyzed using traditional methods (e.g., Bayesian modeling and decision trees) as well as a new usage behavior pattern analysis (“gene analysis”). We found that there was an association between implicit measures of user activity and the users explicit satisfaction ratings. The best models for individual pages combined clickthrough, time spent on the search result page, and how a user exited a result or ended a search session (exit type/end action). Behavioral patterns (through the gene analysis) can also be used to predict user satisfaction for search sessions.
international conference on software maintenance | 2006
Taqi Jaffri; Kuldeep Karnawat
This paper focuses on the applications of advanced data compression technologies developed by Microsoft to efficiently deliver software updates for Windows, specifically CAB packaging and binary delta compression technologies. These technologies are adaptable to other scenarios, and thus are also used by Windows Installer (MSI), Xbox 360 and Windows Media Player 11 to name a few. We discuss how these technologies differ from ordinary compression, how they are used at Microsoft and how they can be used by the software community to improve customer satisfaction and reduce software maintenance costs
Archive | 2003
Kuldeep Karnawat; Lu Wang; Mark B. Mydland; Steven C. Fox; Takeshi Shimizu; Thomas A. Taylor; Thomas D. White; Ying Zhang; Susan T. Dumais
ACM Transactions on Information Systems | 2003
Sean Fox; Kuldeep Karnawat; Mark B. Mydland; Susan T. Dumais; Thomas D. White
Archive | 2010
Joseph F. Friend; Nathan James Fish; Jeffrey Berg; Joo Young Lee; Derek Matthias Hans; Kuldeep Karnawat; Jeremy Santy
Archive | 2009
George Perantatos; Kuldeep Karnawat; John Wana
Archive | 2003
Kuldeep Karnawat; Thomas D. White; Mark B. Mydland; Steven C. Fox; Thomas A. Taylor
Archive | 2004
Blake E. Anderson; James C. Finger; Jennifer J. Marsman; Kuldeep Karnawat; Mark B. Mydland; Paul M. Malolepsy; Thomas D. White
Archive | 2010
Jeffrey Berg; Nathan James Fish; Joo Young Lee; Kuldeep Karnawat; Derek Matthias Hans; David Benjamin Lee; Xiping Zuo; Nicole Danielle Steinbok; Nina F. Shih; Peter Rodes; Leslie Rae Ferguson; Joseph F. Friend
Archive | 2010
Nathan James Fish; Jeffrey Berg; Joo Young Lee; Derek Matthias Hans; Kuldeep Karnawat; Joseph F. Friend; Nino Yuniardi; David Benjamin Lee