Suchergebnisse - "User modeling and user-adapted interaction"
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Evaluation of session-based recommendation algorithms
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.12.2018Veröffentlicht in User modeling and user-adapted interaction (01.12.2018)“… Recommender systems help users find relevant items of interest, for example on e-commerce or media streaming sites. Most academic research is concerned with …”
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A systematic review and taxonomy of explanations in decision support and recommender systems
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.12.2017Veröffentlicht in User modeling and user-adapted interaction (01.12.2017)“… With the recent advances in the field of artificial intelligence, an increasing number of decision-making tasks are delegated to software systems. A key …”
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Gameful Experience Questionnaire (GAMEFULQUEST): an instrument for measuring the perceived gamefulness of system use
ISSN: 0924-1868, 1573-1391, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.07.2019Veröffentlicht in User modeling and user-adapted interaction (01.07.2019)“… In this paper, we present the development and validation of an instrument for measuring users’ gameful experience while using a service. Either intentionally …”
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A survey on popularity bias in recommender systems
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.11.2024Veröffentlicht in User modeling and user-adapted interaction (01.11.2024)“… Recommender systems help people find relevant content in a personalized way. One main promise of such systems is that they are able to increase the visibility …”
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Fairness in recommender systems: research landscape and future directions
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.03.2024Veröffentlicht in User modeling and user-adapted interaction (01.03.2024)“… Recommender systems can strongly influence which information we see online, e.g., on social media, and thus impact our beliefs, decisions, and actions. At the …”
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Multistakeholder recommendation: Survey and research directions
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.03.2020Veröffentlicht in User modeling and user-adapted interaction (01.03.2020)“… Recommender systems provide personalized information access to users of Internet services from social networks to e-commerce to media and entertainment. As is …”
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Student success prediction in MOOCs
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.06.2018Veröffentlicht in User modeling and user-adapted interaction (01.06.2018)“… Predictive models of student success in Massive Open Online Courses (MOOCs) are a critical component of effective content personalization and adaptive …”
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A flexible framework for evaluating user and item fairness in recommender systems
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.07.2021Veröffentlicht in User modeling and user-adapted interaction (01.07.2021)“… One common characteristic of research works focused on fairness evaluation (in machine learning) is that they call for some form of parity (equality) either in …”
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Recommender systems based on user reviews: the state of the art
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.06.2015Veröffentlicht in User modeling and user-adapted interaction (01.06.2015)“… In recent years, a variety of review-based recommender systems have been developed, with the goal of incorporating the valuable information in user-generated …”
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Deploying a robotic positive psychology coach to improve college students’ psychological well-being
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.04.2023Veröffentlicht in User modeling and user-adapted interaction (01.04.2023)“… Despite the increase in awareness and support for mental health, college students’ mental health is reported to decline every year in many countries. Several …”
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Empirical analysis of session-based recommendation algorithms: A comparison of neural and non-neural approaches
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.03.2021Veröffentlicht in User modeling and user-adapted interaction (01.03.2021)“… Recommender systems are tools that support online users by pointing them to potential items of interest in situations of information overload. In recent years, …”
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Explaining the user experience of recommender systems
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.10.2012Veröffentlicht in User modeling and user-adapted interaction (01.10.2012)“… Research on recommender systems typically focuses on the accuracy of prediction algorithms. Because accuracy only partially constitutes the user experience of …”
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Bayesian knowledge tracing, logistic models, and beyond: an overview of learner modeling techniques
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.12.2017Veröffentlicht in User modeling and user-adapted interaction (01.12.2017)“… Learner modeling is a basis of personalized, adaptive learning. The research literature provides a wide range of modeling approaches, but it does not provide …”
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Recommender systems: from algorithms to user experience
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.04.2012Veröffentlicht in User modeling and user-adapted interaction (01.04.2012)“… Since their introduction in the early 1990’s, automated recommender systems have revolutionized the marketing and delivery of commerce and content by providing …”
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Computational personality recognition in social media
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.06.2016Veröffentlicht in User modeling and user-adapted interaction (01.06.2016)“… A variety of approaches have been recently proposed to automatically infer users’ personality from their user generated content in social media. Approaches …”
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Modeling the efficacy of persuasive strategies for different gamer types in serious games for health
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.12.2014Veröffentlicht in User modeling and user-adapted interaction (01.12.2014)“… Persuasive games for health are designed to alter human behavior or attitude using various Persuasive Technology (PT) strategies. Recent years have witnessed …”
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Trends in content-based recommendation: Preface to the special issue on Recommender systems based on rich item descriptions
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.04.2019Veröffentlicht in User modeling and user-adapted interaction (01.04.2019)Volltext
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Automated gaze-based mind wandering detection during computerized learning in classrooms
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.09.2019Veröffentlicht in User modeling and user-adapted interaction (01.09.2019)“… We investigate the use of commercial off-the-shelf (COTS) eye-trackers to automatically detect mind wandering—a phenomenon involving a shift in attention from …”
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Personalized home-care support for the elderly: a field experience with a social robot at home
ISSN: 0924-1868, 1573-1391Veröffentlicht: Dordrecht Springer Netherlands 01.04.2023Veröffentlicht in User modeling and user-adapted interaction (01.04.2023)“… Socially assistive robotics (SAR) is getting a lot of attention for its potential in assisting elderly users. However, for robotic assistive applications to be …”
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Movie genome: alleviating new item cold start in movie recommendation
ISSN: 0924-1868, 1573-1391Veröffentlicht: 01.04.2019Veröffentlicht in User modeling and user-adapted interaction (01.04.2019)Volltext
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