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- W4377996933 abstract "A single digital newsletter usually contains many messages (regions). Users’ reading time spent on, and read level (skip/skim/read-in-detail) of each message is important for platforms to understand their users’ interests, personalize their contents, and make recommendations. Based on accurate but expensive-to-collect eyetracker-recorded data, we built models that predict per-region reading time based on easy-to-collect Javascript browser tracking data." @default.
- W4377996933 created "2023-05-25" @default.
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- W4377996933 date "2023-05-30" @default.
- W4377996933 modified "2023-09-30" @default.
- W4377996933 title "Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models" @default.
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- W4377996933 doi "https://doi.org/10.1145/3588015.3588404" @default.
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