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User Modeling and User-Adapted Interaction, Volume 32
Volume 32, Number 1-2, April 2022
- Warih Maharani
, Dwi H. Widyantoro, Masayu Leylia Khodra:
Dynamic aspect-based rating system and visualization. 1-24 - Frederic Raber
Transferring recommendations through privacy user models across domains. 25-90 - Arpit Rana
Extended recommendation-by-explanation. 91-131 - Hanne A. A. Spelt
Physiology-based personalization of persuasive technology: a user modeling perspective. 133-163 - Chinenye Ndulue
Personality-targeted persuasive gamified systems: exploring the impact of application domain on the effectiveness of behaviour change strategies. 165-214 - Martijn Millecamp
"Knowing me, knowing you": personalized explanations for a music recommender system. 215-252
Volume 32, Number 3, July 2022
- Felwah Alqahtani
Personality-based approach for tailoring persuasive mental health applications. 253-295 - Daniel Defiebre, Dimitris Sacharidis
A human-centered decentralized architecture and recommendation engine in SIoT. 297-353 - Hiromu Yakura
An automated system recommending background music to listen to while working. 355-388 - Chao Zhang
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems. 389-415 - Patrick Schuck
Viewer types in game live streams: questionnaire development and validation. 417-467 - Ghassan Jebur, Hosam Al-Samarraie
An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation. 469-501
Volume 32, Number 4, September 2022
- João Vinagre
Preface to the special issue on dynamic recommender systems and user models. 503-507 - Olivier Jeunen
Embarrassingly shallow auto-encoders for dynamic collaborative filtering. 509-541 - Murilo Falleiros Lemos Schmitt
Scalable stream-based recommendations with random walks on incremental graph of sequential interactions with implicit feedback. 543-573 - Arthur Tofani
Dynamic session-based music recommendation using information retrieval techniques. 575-609 - Gökhan Çapan
Dirichlet-Luce choice model for learning from interactions. 611-648 - Erzsébet Frigó, Levente Kocsis
Online convex combination of ranking models. 649-683 - Stepán Balcar
Rank-sensitive proportional aggregations in dynamic recommendation scenarios. 685-746 - Cesare Bernardis
NFC: a deep and hybrid item-based model for item cold-start recommendation. 747-780
Volume 32, Number 5, November 2022
- Hanna Hauptmann
Research directions in recommender systems for health and well-being. 781-786 - Barry Smyth
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners. 787-838 - Ludovico Boratto
Fair performance-based user recommendation in eCoaching systems. 839-881 - Hugo Alcaraz-Herrera
EvoRecSys: Evolutionary framework for health and well-being recommender systems. 883-921 - Hanna Hauptmann
Effects and challenges of using a nutrition assistance system: results of a long-term mixed-method study. 923-975 - Alessandro Pasta
Measuring and modeling context-dependent preferences for hearing aid settings. 977-998 - Panagiotis Symeonidis
Safe, effective and explainable drug recommendation based on medical data integration. 999-1018 - Felix Gräßer
A pharmaceutical therapy recommender system enabling shared decision-making. 1019-1062
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