Conversational Playlist Curation Dataset (CPCD)

Conversational Playlist Curation Dataset (CPCD) 是一个由谷歌研究院开发的数据集，专注于探索用户在音乐等消费领域对一组项目的偏好。该数据集包含917个对话，记录了用户与系统之间关于音乐播放列表的交互过程。CPCD通过观察用户对单个项目和整体集合的反馈，有效收集了用户对一组项目的真实偏好。数据集的应用领域主要集中在音乐推荐系统，旨在通过对话方式更高效地理解用户需求，提供个性化和精准的音乐播放列表推荐。

The Conversational Playlist Curation Dataset (CPCD) is a dataset developed by Google Research, focusing on exploring users' preferences over a set of items in consumption domains such as music. It encompasses 917 dialogues that record the interactive exchanges between users and systems concerning music playlists. By observing users' feedback on both individual items and the overall collection, CPCD effectively collects the authentic preferences of users regarding a set of items. The primary application domain of this dataset is music recommendation systems, which aims to more efficiently comprehend user needs via conversational approaches and deliver personalized and accurate music playlist recommendations.