图 书 馆
将信息源推荐给Twitter中的信息搜索者Recommending information sources to information seekers in Twitter |
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| 课程网址: | http://videolectures.net/socialweb2011_armentano_recommending/ |
| 主讲教师: | Marcelo G. Armentano |
| 开课单位: | 伊斯坦斯坦研究所 |
| 开课时间: | 2011-08-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Finding high-quality sources in the expanding micro-blogging community using Twitter becomes essential for information seekers in order to cope with information overload. In this paper, we present a recommendation algorithm aiming to identify potentially interesting users to follow in the Twitter network. This algorithm first explores the graph of connections starting at the target user (the user to whom we wish to recommend previously unknown followees) in order to select a set of candidate users to recommend, according to an heuristic procedure. The set of candidate users is then ranked according to the similarity between the content of tweets that they publish and the target user interests. Experimental evaluation was conducted to determine the impact of different profiling strategies. |
| 关 键 词: | 微型博客; 信息过载; 推荐算法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-21：cwx |
| 阅读次数: | 71 |