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A Two-step Approach for Interest Estimation from Gaze Behavior in Digital Catalog Browsing

While eye gaze data contain promising clues for inferring the interests of viewers of digital catalog content, viewers often dynamically switch their focus of attention. As a result, a direct application of conventional behavior analysis techniques, such as topic models, tends to be affected by item...

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Detalles Bibliográficos
Autores principales: Shimonishi, Kei, Kawashima, Hiroaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bern Open Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881878/
https://www.ncbi.nlm.nih.gov/pubmed/33828781
http://dx.doi.org/10.16910/jemr.13.1.4

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