图 书 馆
联合建模方面，收视率和情感电影推荐（JMARS）Jointly Modeling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS) |
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| 课程网址: | http://videolectures.net/kdd2014_wu_movie_recommendation/ |
| 主讲教师: | Chao-Yuan Wu |
| 开课单位: | 卡内基梅隆大学 |
| 开课时间: | 2014-10-07 |
| 课程语种: | 英语 |
| 中文简介: |  推荐和评论网站提供了除评级之外的大量信息。例如，在IMDb上，用户留下评论，评论电影的不同方面（例如演员，情节，视觉效果），并在评论中表达对这些方面的看法（正面或负面）。这表明发现方面和情感将使我们能够更好地了解用户，电影以及生成评分的过程。 回答诸如“该用户是否更关心电视节目的使用者”的能力。剧情或特殊效果？”或“就表演而言，电影的质量如何？”帮助我们了解为什么会生成某些等级。这可以用来提供更有意义的建议。 |
| 课程简介: | Recommendation and review sites offer a wealth of information beyond ratings. For instance, on IMDb users leave reviews, commenting on different aspects of a movie (e.g. actors, plot, visual effects), and expressing their sentiments (positive or negative) on these aspects in their reviews. This suggests that uncovering aspects and sentiments will allow us to gain a better understanding of users, movies, and the process involved in generating ratings. The ability to answer questions such as "Does this user care more about the plot or about the special effects?" or "What is the quality of the movie in terms of acting?" helps us to understand why certain ratings are generated. This can be used to provide more meaningful recommendations. |
| 关 键 词: | 联合建模; 评论电影 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-12-03：zyk |
| 最后编审: | 2020-12-03：zyk |
| 阅读次数: | 85 |