Suchergebnisse - "User modeling and user-adapted interaction"

  1. 1

    Evaluation of session-based recommendation algorithms von Ludewig, Malte, Jannach, Dietmar

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.12.2018
    Veröffentlicht 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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  2. 2

    A systematic review and taxonomy of explanations in decision support and recommender systems von Nunes, Ingrid, Jannach, Dietmar

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.12.2017
    Veröffentlicht 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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  3. 3

    Gameful Experience Questionnaire (GAMEFULQUEST): an instrument for measuring the perceived gamefulness of system use von Högberg, Johan, Hamari, Juho, Wästlund, Erik

    ISSN: 0924-1868, 1573-1391, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.07.2019
    Veröffentlicht 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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  4. 4

    A survey on popularity bias in recommender systems von Klimashevskaia, Anastasiia, Jannach, Dietmar, Elahi, Mehdi, Trattner, Christoph

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.11.2024
    Veröffentlicht 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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  5. 5

    Fairness in recommender systems: research landscape and future directions von Deldjoo, Yashar, Jannach, Dietmar, Bellogin, Alejandro, Difonzo, Alessandro, Zanzonelli, Dario

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.03.2024
    Veröffentlicht 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 von Abdollahpouri, Himan, Adomavicius, Gediminas, Burke, Robin, Guy, Ido, Jannach, Dietmar, Kamishima, Toshihiro, Krasnodebski, Jan, Pizzato, Luiz

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.03.2020
    Veröffentlicht 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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  7. 7

    Student success prediction in MOOCs von Gardner, Josh, Brooks, Christopher

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.06.2018
    Veröffentlicht 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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  8. 8

    A flexible framework for evaluating user and item fairness in recommender systems von Deldjoo, Yashar, Anelli, Vito Walter, Zamani, Hamed, Bellogín, Alejandro, Di Noia, Tommaso

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.07.2021
    Veröffentlicht 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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  9. 9

    Recommender systems based on user reviews: the state of the art von Chen, Li, Chen, Guanliang, Wang, Feng

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.06.2015
    Veröffentlicht 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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  10. 10

    Deploying a robotic positive psychology coach to improve college students’ psychological well-being von Jeong, Sooyeon, Aymerich-Franch, Laura, Arias, Kika, Alghowinem, Sharifa, Lapedriza, Agata, Picard, Rosalind, Park, Hae Won, Breazeal, Cynthia

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.04.2023
    Veröffentlicht 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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  11. 11

    Empirical analysis of session-based recommendation algorithms: A comparison of neural and non-neural approaches von Ludewig, Malte, Mauro, Noemi, Latifi, Sara, Jannach, Dietmar

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.03.2021
    Veröffentlicht 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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  12. 12

    Explaining the user experience of recommender systems von Knijnenburg, Bart P., Willemsen, Martijn C., Gantner, Zeno, Soncu, Hakan, Newell, Chris

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.10.2012
    Veröffentlicht 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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  13. 13

    Bayesian knowledge tracing, logistic models, and beyond: an overview of learner modeling techniques von Pelánek, Radek

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.12.2017
    Veröffentlicht 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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  14. 14

    Recommender systems: from algorithms to user experience von Konstan, Joseph A., Riedl, John

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.04.2012
    Veröffentlicht 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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  15. 15

    Computational personality recognition in social media von Farnadi, Golnoosh, Sitaraman, Geetha, Sushmita, Shanu, Celli, Fabio, Kosinski, Michal, Stillwell, David, Davalos, Sergio, Moens, Marie-Francine, De Cock, Martine

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.06.2016
    Veröffentlicht 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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  16. 16

    Modeling the efficacy of persuasive strategies for different gamer types in serious games for health von Orji, Rita, Vassileva, Julita, Mandryk, Regan L.

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.12.2014
    Veröffentlicht 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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    Automated gaze-based mind wandering detection during computerized learning in classrooms von Hutt, Stephen, Krasich, Kristina, Mills, Caitlin, Bosch, Nigel, White, Shelby, Brockmole, James R., D’Mello, Sidney K.

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.09.2019
    Veröffentlicht 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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  19. 19

    Personalized home-care support for the elderly: a field experience with a social robot at home von Di Napoli, Claudia, Ercolano, Giovanni, Rossi, Silvia

    ISSN: 0924-1868, 1573-1391
    Veröffentlicht: Dordrecht Springer Netherlands 01.04.2023
    Veröffentlicht 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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