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Modeling Activation Processes in Human Memory for Tag Recommendations: Using Models from Human Memory Theory to Implement Recommender Systems for Social Tagging and Microblogging Environments - Softcover
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Social tagging systems enable users to collaboratively assign freely chosen keywords (i.e., tags) to resources (e.g., Web links). In order to support users in finding descriptive tags, tag recommendation algorithms have been proposed. One issue of current state-of-the-art tag recommendation algorithms is that they are often designed in a purely data-driven way and thus, lack a thorough understanding of the cognitive processes that play a role when people assign tags to resources. A prominent example is the activation equation of the cognitive architecture ACT-R, which formalizes activation processes in human memory to determine if a specific memory unit (e.g., a word or tag) will be needed in a specific context. It is the aim of this thesis to investigate if a cognitive-inspired approach, which models activation processes in human memory, can improve tag recommendations. The findings of this thesis demonstrate that activation processes in human memory can be utilized to improve not only social tag recommendations but also hashtag recommendations. This opens up a number of possible research strands for future work, such as the design of cognitive-inspired recommender systems.
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Über die Autorin bzw. den Autor
Dr. Dominik Kowald is a senior researcher in the Social Computing division at the Know-Center, Austria's leading research center for data-driven business and big data analytics, where he works on novel algorithms for recommender systems. He has a PhD. (with hons), MSc. (with hons) and BSc. in Computer Science from Graz University of Technology.
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Modeling Activation Processes in Human Memory for Tag Recommendations
Verlag:
Südwestdeutscher Verlag Für Hochschulschriften Nov 2017, 2017
ISBN 10: 6202320729
ISBN 13: 9786202320726
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Social tagging systems enable users to collaboratively assign freely chosen keywords (i.e., tags) to resources (e.g., Web links). In order to support users in finding descriptive tags, tag recommendation algorithms have been proposed. One issue of current state-of-the-art tag recommendation algorithms is that they are often designed in a purely data-driven way and thus, lack a thorough understanding of the cognitive processes that play a role when people assign tags to resources. A prominent example is the activation equation of the cognitive architecture ACT-R, which formalizes activation processes in human memory to determine if a specific memory unit (e.g., a word or tag) will be needed in a specific context. It is the aim of this thesis to investigate if a cognitive-inspired approach, which models activation processes in human memory, can improve tag recommendations. The findings of this thesis demonstrate that activation processes in human memory can be utilized to improve not only social tag recommendations but also hashtag recommendations. This opens up a number of possible research strands for future work, such as the design of cognitive-inspired recommender systems. 168 pp. Englisch. Bestandsnummer des Verkäufers 9786202320726
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Modeling Activation Processes in Human Memory for Tag Recommendations
Verlag:
Südwestdeutscher Verlag für Hochschulschriften, 2017
ISBN 10: 6202320729
ISBN 13: 9786202320726
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kowald DominikDr. Dominik Kowald is a senior researcher in the Social Computing division at the Know-Center, Austria s leading research center for data-driven business and big data analytics, where he works on novel algorithms for re. Bestandsnummer des Verkäufers 385942063
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Modeling Activation Processes in Human Memory for Tag Recommendations | Using Models from Human Memory Theory to Implement Recommender Systems for Social Tagging and Microblogging Environments
Verlag:
Südwestdeutscher Verlag für Hochschulschriften, 2017
ISBN 10: 6202320729
ISBN 13: 9786202320726
Neu
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Taschenbuch. Zustand: Neu. Modeling Activation Processes in Human Memory for Tag Recommendations | Using Models from Human Memory Theory to Implement Recommender Systems for Social Tagging and Microblogging Environments | Dominik Kowald | Taschenbuch | 168 S. | Englisch | 2017 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9786202320726 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 110752966
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Modeling Activation Processes in Human Memory for Tag Recommendations
Verlag:
Südwestdeutscher Verlag Für Hochschulschriften Nov 2017, 2017
ISBN 10: 6202320729
ISBN 13: 9786202320726
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Social tagging systems enable users to collaboratively assign freely chosen keywords (i.e., tags) to resources (e.g., Web links). In order to support users in finding descriptive tags, tag recommendation algorithms have been proposed. One issue of current state-of-the-art tag recommendation algorithms is that they are often designed in a purely data-driven way and thus, lack a thorough understanding of the cognitive processes that play a role when people assign tags to resources. A prominent example is the activation equation of the cognitive architecture ACT-R, which formalizes activation processes in human memory to determine if a specific memory unit (e.g., a word or tag) will be needed in a specific context. It is the aim of this thesis to investigate if a cognitive-inspired approach, which models activation processes in human memory, can improve tag recommendations. The findings of this thesis demonstrate that activation processes in human memory can be utilized to improve not only social tag recommendations but also hashtag recommendations. This opens up a number of possible research strands for future work, such as the design of cognitive-inspired recommender systems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch. Bestandsnummer des Verkäufers 9786202320726
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Modeling Activation Processes in Human Memory for Tag Recommendations : Using Models from Human Memory Theory to Implement Recommender Systems for Social Tagging and Microblogging Environments
Verlag:
Südwestdeutscher Verlag Für Hochschulschriften, 2017
ISBN 10: 6202320729
ISBN 13: 9786202320726
Neu
Taschenbuch
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Social tagging systems enable users to collaboratively assign freely chosen keywords (i.e., tags) to resources (e.g., Web links). In order to support users in finding descriptive tags, tag recommendation algorithms have been proposed. One issue of current state-of-the-art tag recommendation algorithms is that they are often designed in a purely data-driven way and thus, lack a thorough understanding of the cognitive processes that play a role when people assign tags to resources. A prominent example is the activation equation of the cognitive architecture ACT-R, which formalizes activation processes in human memory to determine if a specific memory unit (e.g., a word or tag) will be needed in a specific context. It is the aim of this thesis to investigate if a cognitive-inspired approach, which models activation processes in human memory, can improve tag recommendations. The findings of this thesis demonstrate that activation processes in human memory can be utilized to improve not only social tag recommendations but also hashtag recommendations. This opens up a number of possible research strands for future work, such as the design of cognitive-inspired recommender systems. Bestandsnummer des Verkäufers 9786202320726
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