Tweet-Recommender: Finding Relevant Tweets For News Articles
WWW '15: 24th International World Wide Web Conference Florence Italy May, 2015(2015)
摘要
Twitter has become a prime source for disseminating news and opinions. However, the length of tweets prohibits detailed descriptions; instead, tweets sometimes contain URLs that link to detailed news articles. In this paper, we devise generic techniques for recommending tweets for any given news article. To evaluate and compare the different techniques, we collected tens of thousands of tweets and news articles and conducted a user study on the relevance of recommendations.
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关键词
Recommender Systems,News Articles,Twitter
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络