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The talk at Twente University on 28 July 2014
Predictive Web Analytics is aimed at understanding behavioural patterns of users of various web-based applications: e-commerce, ubiquitous and mobile computing, and computational advertising. Within...
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Predicting Current User Intent with Contextual Markov Models
Abstract—In many web information systems like e-shops and information portals predictive modeling is used to understand user intentions based on their browsing behavior. User behavior is inherently...
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Modelling and Detecting Changes in User Satisfaction
modelling and detecting changes in user satisfaction CIKM 2014
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Where to Go on Your Next Trip? Optimizing Travel Destinations Based on User...
Recommendation based on user preferences is a common task for e-commerce websites. New recommendation algorithms are often evaluated by offline comparison to baseline algorithms such as recommending...
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Using Contextual Information to Understand Searching and Browsing Behavior
Russir 2015 -- Julia’s lecture
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Behavioral Dynamics from the SERP’s Perspective: What are Failed SERPs and...
Web search is always in a state of flux: queries, their intent, and the most relevant content are changing over time, in predictable and unpredictable ways. Modern search technology has made great...
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The Impact of Technical Domain Expertise on Search Behavior and Task Outcome
Domain expertise is regarded as one of the key factors impacting search success: experts are known to write more effective queries, to select the right results on the result page, and to find answers...
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Understanding User Satisfaction with Intelligent Assistants
Voice-controlled intelligent personal assistants, such as Cortana, Google Now, Siri and Alexa, are increasingly becoming a part of users’ daily lives, especially on mobile devices. They introduce a...
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