Real-Time LDCRF-Based Method for Inferring TV Viewer Interest

机译：基于LDCRF的推断式景点的方法

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Context-awareness provides users with more versatile user interface environments when using digital devices. In a TV viewing environment, context-awareness techniques can be used for recommending useful information related to the viewed program. To incorporate a user's preference in doing so, it is vital to infer whether the viewer is actually interested in the TV program. Therefore, we propose a method for inferring viewer interest in a TV program. In the proposed method, we regard the problem of inferring viewer interest as a sequential labeling problem and solve it by applying latent dynamic conditional random fields to data sequences generated by integrating the operational log information of user interaction and visual information of viewer behaviors.

机译：背景信息在使用数字设备时为用户提供更多功能的用户界面环境。在电视查看环境中，可以使用上下文意识技术来推荐与所观看的程序相关的有用信息。为了纳入用户的偏好，因此可以推断观众是否真正对电视节目感兴趣至关重要。因此，我们提出了一种用于在电视节目中推断观众兴趣的方法。在所提出的方法中，我们将推断观众兴趣作为顺序标记问题的问题，通过对通过集成用户交互和观看者行为的视觉信息来生成的数据序列来解决它来解决它。

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《Humaine Association Conference on Affective Computing and Intelligent Interaction》|2013年||共7页
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Naemura Masahide; Clippingdale Simon; Takahashi Masaki; Okuda Makoto;
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中图分类计算复杂性理论;
关键词
Conditional Random Fields; context-aware system; detection of individual interest; smart TV interface;

机译：条件随机字段;上下文感知系统;个人兴趣的检测;智能电视界面;

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4. Real-Time LDCRF-Based Method for Inferring TV Viewer Interest [C] . Naemura Masahide, Clippingdale Simon, Takahashi Masaki, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction . 2013

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7. Analysis method of television commercials viewing processes based on viewers' intentions estimated by eye movement data [O] . Hirotaka AOKI, Kenji ITOH 2004

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Real-Time LDCRF-Based Method for Inferring TV Viewer Interest

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