图 书 馆
Wiki MID：一个非常大的Twitter用户多域兴趣数据集，映射到维基百科Wiki-MID: a very large Multi-domain Interests Dataset of Twitter users with mappings to Wikipedia |
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| 课程网址: | http://videolectures.net/iswc2018_faralli_wiki_mid_interests/ |
| 主讲教师: | Stefano Faralli |
| 开课单位: | 罗马大学 |
| 开课时间: | 2018-11-22 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper presents Wiki-MID, a LOD compliant multi-domain interests dataset to train and test Recommender Systems, and the methodology to create the dataset from Twitter messages in English and Italian. Our English dataset includes an average of 90 multi-domain preferences per user on music, books, movies, celebrities, sport, politics and much more, for about half million users traced during six months in 2017. Preferences are either extracted from messages of users who use Spotify, Goodreads and other similar content sharing platforms, or induced from their "topical" friends, i.e., followees representing an interest rather than a social relation between peers. In addition, preferred items are matched with Wikipedia articles describing them. This unique feature of our dataset provides a mean to categorize preferred items, exploiting available semantic resources linked to Wikipedia such as the Wikipedia Category Graph, DBpedia, BabelNet and others. |
| 关 键 词: | Wiki MID; 多域兴趣数据集; 训练和测试推荐系统; 首选项进行分类; 可用语义资源 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-01-14：cyh |
| 最后编审: | 2023-01-14：cyh |
| 阅读次数: | 49 |