论文标题
使用Movielens上的观众标签来识别具有黑色特征的电影
Identifying Films with Noir Characteristics Using Audience's Tags on MovieLens
论文作者
论文摘要
我们通过探索黑色属性以及哪些电影从广泛的互联网观众的角度来考虑黑色的分类问题。我们使用的数据集由30,000多个电影组成，其中包含由基于网络推荐系统的Movielens用户添加的相关标签。基于这些数据，我们开发了一个统计模型，以使用这些自由形式标签识别具有黑色特征的膜。在检索了从标签中描述电影的信息之后，我们实现了一种单级最近的邻居算法，通过从IMDB标记的黑色中学习来识别不明电影。我们的分析证明了黑色电影与德国表现主义，法国诗歌现实主义，英国惊悚片和美国预编码犯罪图片的密切关系，揭示了1960年之后的Neo Noirs与经典时期的Neoirs之间的相似性和差异。
We consider the noir classification problem by exploring noir attributes and what films are likely to be regarded as noirish from the perspective of a wide Internet audience. We use a dataset consisting of more than 30,000 films with relevant tags added by users of MovieLens, a web-based recommendation system. Based on this data, we develop a statistical model to identify films with noir characteristics using these free-form tags. After retrieving information for describing films from tags, we implement a one-class nearest neighbors algorithm to recognize noirish films by learning from IMDb-labeled noirs. Our analysis evidences film noirs' close relationship with German Expressionism, French Poetic Realism, British thrillers, and American pre-code crime pictures, revealing the similarities and differences between neo noirs after 1960 and noirs in the classic period.
