DATA PROCESSING METHODS FOR PREDICTIONS OF MEDIA CONTENT PERFORMANCE

Methods and systems of predicting performance data for a piece of media content that is consumable by a user at a client device are provided. In one or more embodiments, the method collects raw inputdata, such as from a webcam, indicative of a user's response to the media content as the user watches the content. The data is processed to extract and obtain a series of head pose signals and facialexpression signals, which is then input to a classification model. The model maps the performance data of the media content over time in response to the signals evaluated by the method to produce a prediction of the performance of the piece of media content. 提供了用于预测用户可在客户端装置处消费的一条媒体内容的表现数据的方法和系统。在一个或多个实施方案中，所述方法在所述用户观看所述内容时收集诸如来自网络摄像头的原始输入数据，所述原始输入数据指示用户对所述媒体内容的响应。处理所述数据以提取并获得一系列头部姿势信号和面部表情信号，随后将所述一系列信号输入到分类模型。所述模型响应于通过所述方法评估的所述信号而映射随时间推移所述媒体内容的表现数据，以产生对所述一条媒体内容的表现的预测。