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The International Conference on User Modeling, Adaptation, and Personalization (UMAP) is the oldest international conference for researchers and practitioners working on various kinds of user-adaptive computer systems such as Adaptive hypermedia systems, Recommender systems, Adaptive websites, Adaptive learning, Personalized learning and Intelligent tutoring systems and Personalized search systems. All of these systems adapt to their individual users, or to groups of users (i.e., Personalization). To achieve this goal, they collect and represent information about users or groups (i.e., User modeling).

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dbo:abstract
  • The International Conference on User Modeling, Adaptation, and Personalization (UMAP) is the oldest international conference for researchers and practitioners working on various kinds of user-adaptive computer systems such as Adaptive hypermedia systems, Recommender systems, Adaptive websites, Adaptive learning, Personalized learning and Intelligent tutoring systems and Personalized search systems. All of these systems adapt to their individual users, or to groups of users (i.e., Personalization). To achieve this goal, they collect and represent information about users or groups (i.e., User modeling). The UMAP conferences have historically been organized under the auspices of User Modeling Inc., a professional organization of User Modeling researchers. Until 2015, the conference proceedings were published by Springer. In 2016, the UMAP conference series became affiliated with the Association for Computing Machinery (ACM), where it is supported by ACM SIGWEB and ACM SIGCHI. (en)
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  • Annual
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  • 56417628 (xsd:integer)
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dbp:abbreviation
  • UMAP (en)
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  • International (en)
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dbp:frequency
  • Annual (en)
dbp:history
  • 1986 (xsd:integer)
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rdfs:comment
  • The International Conference on User Modeling, Adaptation, and Personalization (UMAP) is the oldest international conference for researchers and practitioners working on various kinds of user-adaptive computer systems such as Adaptive hypermedia systems, Recommender systems, Adaptive websites, Adaptive learning, Personalized learning and Intelligent tutoring systems and Personalized search systems. All of these systems adapt to their individual users, or to groups of users (i.e., Personalization). To achieve this goal, they collect and represent information about users or groups (i.e., User modeling). (en)
rdfs:label
  • International Conference on User Modeling, Adaptation, and Personalization (en)
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  • (en)
  • UMAP (en)
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