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ORCIDUser 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, Antonio Krüger:
Transferring recommendations through privacy user models across domains. 25-90 - Arpit Rana, Rafael Martins D'Addio, Marcelo G. Manzato, Derek Bridge:
Extended recommendation-by-explanation. 91-131 - Hanne A. A. Spelt, Joyce H. D. M. Westerink, Lily Frank, Jaap Ham, Wijnand A. IJsselsteijn:
Physiology-based personalization of persuasive technology: a user modeling perspective. 133-163 - Chinenye Ndulue, Oladapo Oyebode, Ravishankar Subramani Iyer, Anirudh Ganesh, Syed Ishtiaque Ahmed, Rita Orji:
Personality-targeted persuasive gamified systems: exploring the impact of application domain on the effectiveness of behaviour change strategies. 165-214 - Martijn Millecamp, Cristina Conati, Katrien Verbert:
"Knowing me, knowing you": personalized explanations for a music recommender system. 215-252
Volume 32, Number 3, July 2022
- Felwah Alqahtani, Sandra Meier, Rita Orji:
Personality-based approach for tailoring persuasive mental health applications. 253-295 - Daniel Defiebre, Dimitris Sacharidis, Panagiotis Germanakos:
A human-centered decentralized architecture and recommendation engine in SIoT. 297-353 - Hiromu Yakura, Tomoyasu Nakano, Masataka Goto:
An automated system recommending background music to listen to while working. 355-388 - Chao Zhang, Joaquin Vanschoren, Arlette van Wissen, Daniël Lakens, Boris E. R. de Ruyter, Wijnand A. IJsselsteijn:
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems. 389-415 - Patrick Schuck, Maximilian Altmeyer, Antonio Krüger, Pascal Lessel:
Viewer types in game live streams: questionnaire development and validation. 417-467 - Ghassan Jebur, Hosam Al-Samarraie, Ahmed Ibrahim Alzahrani:
An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation. 469-501
Volume 32, Number 4, September 2022
- João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet, Paolo Cremonesi:
Preface to the special issue on dynamic recommender systems and user models. 503-507 - Olivier Jeunen, Jan Van Balen, Bart Goethals:
Embarrassingly shallow auto-encoders for dynamic collaborative filtering. 509-541 - Murilo Falleiros Lemos Schmitt, Eduardo Jaques Spinosa:
Scalable stream-based recommendations with random walks on incremental graph of sequential interactions with implicit feedback. 543-573 - Arthur Tofani, Rodrigo Borges, Marcelo Queiroz:
Dynamic session-based music recommendation using information retrieval techniques. 575-609 - Gökhan Çapan, Ilker Gündogdu, Ali Caner Türkmen, Ali Taylan Cemgil:
Dirichlet-Luce choice model for learning from interactions. 611-648 - Erzsébet Frigó, Levente Kocsis:
Online convex combination of ranking models. 649-683 - Stepán Balcar, Vít Skrhak, Ladislav Peska:
Rank-sensitive proportional aggregations in dynamic recommendation scenarios. 685-746 - Cesare Bernardis, Paolo Cremonesi:
NFC: a deep and hybrid item-based model for item cold-start recommendation. 747-780
Volume 32, Number 5, November 2022
- Hanna Hauptmann, Alan Said, Christoph Trattner:
Research directions in recommender systems for health and well-being. 781-786 - Barry Smyth, Aonghus Lawlor, Jakim Berndsen, Ciara Feely:
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners. 787-838 - Ludovico Boratto, Salvatore Carta, Walid Iguider, Fabrizio Mulas, Paolo Pilloni:
Fair performance-based user recommendation in eCoaching systems. 839-881 - Hugo Alcaraz-Herrera, John Cartlidge, Zoi Toumpakari, Max Western, Iván Palomares:
EvoRecSys: Evolutionary framework for health and well-being recommender systems. 883-921 - Hanna Hauptmann, Nadja Leipold, Mira Madenach, Monika Wintergerst, Martin Lurz, Georg Groh, Markus Böhm, Kurt Gedrich, Helmut Krcmar:
Effects and challenges of using a nutrition assistance system: results of a long-term mixed-method study. 923-975 - Alessandro Pasta, Michael Kai Petersen, Kasper Juul Jensen, Niels Henrik Pontoppidan, Jakob Eg Larsen, Jeppe Høy Christensen:
Measuring and modeling context-dependent preferences for hearing aid settings. 977-998 - Panagiotis Symeonidis, Stergios Chairistanidis, Markus Zanker:
Safe, effective and explainable drug recommendation based on medical data integration. 999-1018 - Felix Gräßer, Falko Tesch, Jochen Schmitt, Susanne Abraham, Hagen Malberg, Sebastian Zaunseder:
A pharmaceutical therapy recommender system enabling shared decision-making. 1019-1062
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