The Contextual TV Dataset (CTV)

使用体验抽样方法 (ESM)，参与者被要求在五周内每天多次报告电视消费情况。通过自我报告的数据，作者减少了内容曝光的不确定性，并允许收集重要信息，例如对电视的关注程度。数据的结构是为了适应定量分析，例如在 CARS 社区中，并以 Contextual TV (CTV) 数据集的名称公开提供。

By adopting the Experience Sampling Method (ESM), participants were asked to report their television consumption multiple times per day over a five-week period. Leveraging self-reported data, the authors reduced the uncertainty associated with content exposure and enabled the collection of critical information such as the level of attention paid to television content. The dataset is structured to accommodate quantitative analysis (e.g., within the CARS community) and is publicly available under the name Contextual TV (CTV) Dataset.

搜集汇总

背景与挑战

背景概述

该数据集采用体验抽样方法（ESM）收集参与者在五周内的电视消费自我报告数据，旨在减少内容曝光不确定性并获取如关注度等信息。其结构设计适合定量分析，并以Contextual TV (CTV)的名称公开提供。