分析微博客在估计音乐艺术家时空流行度方面的潜力Analyzing the potential of Microblogs for spatio-temporal popularity estimation of music artists |
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课程网址: | http://videolectures.net/socialweb2011_schedl_analyzing/ |
主讲教师: | Markus Schedl |
开课单位: | 约翰内斯·开普勒大学 |
开课时间: | 2011-08-04 |
课程语种: | 英语 |
中文简介: | 本文探讨了微博是否适合音乐信息研究中的一项重要任务,即音乐艺术家的受欢迎程度估算。解决的研究问题如下:微博在多大程度上用于传达音乐收听行为?世界上不同国家之间是否存在差异?我们发现微博确实代表了揭示音乐聆听活动的重要沟通渠道,尽管各国的使用强度差异很大。在这种发现的推动下,我们朝着迈出第一步迈出了第一步。具有地域意识,社交知名度的音乐艺术家。为此,我们分析了五个月内从微博服务Twitter发掘的用户发布的信息。为了解决确定音乐艺术家的受欢迎程度的问题,我们在摘录的特定音乐艺术家帖子上雇用了地名词典。提出的方法旨在提取时间和位置特定的艺术家受欢迎程度信息。我们通过比较Twitter帖子中的受欢迎程度排名与流行音乐信息系统和荐引引擎last.fm提供的受欢迎程度排名,评估了该方法的性能。 |
课程简介: | This paper looks into the suitability of microblogs for an important task in music information research, namely popularity estimation of music artists. The research questions addressed are the following: To which extent are microblogs used to communicate music listening behavior? Are there differences between different countries of the world? Is it possible to derive a popularity measure from user’s microblogging activities? We found that microblogging does indeed represent an important communication channel for revealing music listening activities, although the intensity of its use vary considerably from country to country. Motivated by this finding, we took first steps towards a geo-aware, social popularity measure for music artists. To this end, we analyzed user posts mined from the microblogging service Twitter over a period of five months. Addressing the problem of determining the popularity of music artists, we employed a gazetteer on extracted posts relevant for particular music artists. The presented approach aims at extracting time- and location-specific artist popularity information. We evaluated the performance of the approach by comparing the popularity rankings derived from Twitter posts against the popularity rankings provided by last.fm, a popular music information system and recommender engine. |
关 键 词: | 微博; 音乐艺术家; 受欢迎程度 |
课程来源: | 视频讲座网 |
最后编审: | 2019-09-22:cwx |
阅读次数: | 55 |