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portada Modeling Activation Processes in Human Memory for Tag Recommendations
Type
Physical Book
Language
English
Pages
168
Format
Paperback
Dimensions
22.9x15.2x1 cm
Weight
0.25 kg.
ISBN13
9786202320726

Modeling Activation Processes in Human Memory for Tag Recommendations

Dominik Kowald (Author) · Sudwestdeutscher Verlag Fur Hochschulschrifte · Paperback

Modeling Activation Processes in Human Memory for Tag Recommendations - Kowald, Dominik

New Book Imported to Taiwan
Delivery: 28 Oct - 05 Nov Shipping: 13 to 14 business days.
NT$ 2,900
NT$ 2,900

Synopsis "Modeling Activation Processes in Human Memory for Tag Recommendations"

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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