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Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data.

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Title: Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data.
Authors: Castilla, Diana1, Diana.Castilla@uv.es, Del Tejo Catalá, Omar2, Pons, Patricia2, Signol, François2, Rey, Beatriz3, Suso-Ribera, Carlos4, Perez-Cortes, Juan-Carlos2
Source: User Modeling & User-Adapted Interaction; Apr2024, Vol. 34 Issue 2, p293-322, 30p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 177819970
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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        Value: 10.1007/s11257-023-09373-y
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        Text: English
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      – TitleFull: Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data.
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              Text: Apr2024
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              Y: 2024
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