Explaining the user experience of recommender systems
Research on recommender systems typically focuses on the accuracy of prediction
algorithms. Because accuracy only partially constitutes the user experience of a …
algorithms. Because accuracy only partially constitutes the user experience of a …
Evaluating recommender systems from the user's perspective: survey of the state of the art
A recommender system is a Web technology that proactively suggests items of interest to
users based on their objective behavior or explicitly stated preferences. Evaluations of …
users based on their objective behavior or explicitly stated preferences. Evaluations of …
Evaluating the effectiveness of explanations for recommender systems: Methodological issues and empirical studies on the impact of personalization
N Tintarev, J Masthoff - User Modeling and User-Adapted Interaction, 2012 - Springer
When recommender systems present items, these can be accompanied by explanatory
information. Such explanations can serve seven aims: effectiveness, satisfaction …
information. Such explanations can serve seven aims: effectiveness, satisfaction …
Personalization in cultural heritage: the road travelled and the one ahead
Over the last 20 years, cultural heritage has been a favored domain for personalization
research. For years, researchers have experimented with the cutting edge technology of the …
research. For years, researchers have experimented with the cutting edge technology of the …
SMILI☺: A framework for interfaces to learning data in open learner models, learning analytics and related fields
Abstract The SMILI☺(Student Models that Invite the Learner In) Open Learner Model
Framework was created to provide a coherent picture of the many and diverse forms of Open …
Framework was created to provide a coherent picture of the many and diverse forms of Open …
“Knowing me, knowing you”: personalized explanations for a music recommender system
Due to the prominent role of recommender systems in our daily lives, it is increasingly
important to inform users why certain items are recommended and personalize these …
important to inform users why certain items are recommended and personalize these …
Evaluating recommender systems for technology enhanced learning: a quantitative survey
The increasing number of publications on recommender systems for Technology Enhanced
Learning (TEL) evidence a growing interest in their development and deployment. In order …
Learning (TEL) evidence a growing interest in their development and deployment. In order …
Noninterference and the composability of security properties
D McCullough - Proceedings. 1988 IEEE Symposium on Security and …, 1988 - computer.org
The current development of interactive systems is shifting its focus into adding new features
and capabilities, encompassing for example, new input devices and ways of interacting …
and capabilities, encompassing for example, new input devices and ways of interacting …
Anatomy of student models in adaptive learning systems: A systematic literature review of individual differences from 2001 to 2013
This study brings an evidence-based review of user individual characteristics employed as
sources of adaptation in recent adaptive learning systems. Twenty-two user individual …
sources of adaptation in recent adaptive learning systems. Twenty-two user individual …
From perception to action using observed actions to learn gestures
W Fuhl - User Modeling and User-Adapted Interaction, 2021 - Springer
Pervasive computing environments deliver a multitude of possibilities for human–computer
interactions. Modern technologies, such as gesture control or speech recognition, allow …
interactions. Modern technologies, such as gesture control or speech recognition, allow …