User Modeling and User-Adapted Interaction
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Modelling and predicting an individual’s perception of advertising appeal
User Modeling and User-Adapted Interaction - Tập 31 - Trang 323-369 - 2021
Existing research has found that people evaluate an ad as being more appealing when its design matches their psychological traits. Therefore, to personalise ad design or predict the advertising appeal that an individual perceives, it is especially important to understand what psychological traits moderate an ad’s design effect to a large degree. The present research addressed this question. We con......
Creating cognitive tutors for collaborative learning: steps toward realization
User Modeling and User-Adapted Interaction - Tập 16 Số 3-4 - Trang 175-209 - 2006
Affective recommender systems in online news industry: how emotions influence reading choices
User Modeling and User-Adapted Interaction - Tập 29 - Trang 345-379 - 2018
Recommender systems have become ubiquitous over the last decade, providing users with personalized search results, video streams, news excerpts, and purchasing hints. Human emotions are widely regarded as important predictors of behavior and preference. They are a crucial factor in decision making, but until recently, relatively little has been known about the effectiveness of using human emotions......
Heterogeneous learning in the Doppelgänger user modeling system
User Modeling and User-Adapted Interaction - Tập 4 - Trang 107-130 - 1994
Doppelgänger is a generalized user modeling system that gathers data about users, performs inferences upon the data, and makes the resulting information available to applications.Doppelgänger's learning is calledheterogeneous for two reasons: first, multiple learning techniques are used to interpret the data, and second, the learning techniques must often grapple with disparate data types. These ......
Improving the Quality of the Personalized Electronic Program Guide
User Modeling and User-Adapted Interaction - Tập 14 - Trang 5-36 - 2004
As Digital TV subscribers are offered more and more channels, it is becoming increasingly difficult for them to locate the right programme information at the right time. The personalized Electronic Programme Guide (pEPG) is one solution to this problem; it leverages artificial intelligence and user profiling techniques to learn about the viewing preferences of individual users in order to compile ......
Recommender systems: from algorithms to user experience
User Modeling and User-Adapted Interaction - Tập 22 - Trang 101-123 - 2012
Since their introduction in the early 1990’s, automated recommender systems have revolutionized the marketing and delivery of commerce and content by providing personalized recommendations and predictions over a variety of large and complex product offerings. In this article, we review the key advances in collaborative filtering recommender systems, focusing on the evolution from research concentr......
Explaining the user experience of recommender systems
User Modeling and User-Adapted Interaction - Tập 22 - Trang 441-504 - 2012
Research on recommender systems typically focuses on the accuracy of prediction algorithms. Because accuracy only partially constitutes the user experience of a recommender system, this paper proposes a framework that takes a user-centric approach to recommender system evaluation. The framework links objective system aspects to objective user behavior through a series of perceptual and evaluative ......
Hybrid session-aware recommendation with feature-based models
User Modeling and User-Adapted Interaction - - Trang 1-38 - 2023
Session-based recommender systems model the interests of users based on their browsing behavior with the goal of making suitable item suggestions in an ongoing usage session. Most existing work in this growing research area make only use of the most recent observed interactions for each user, and they typically solely rely on user–item interaction data (e.g., click events) for interest modeling. T......
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