Towards Recommending Interesting Content in News Archives
Towards Recommending Interesting Content in News Archives
复制标题
推荐新闻档案中有趣的内容
DOI:
10.1007/978-3-030-04257-8_13
复制
发表时间:
2018
期刊:
影响因子:
--
通讯作者:
Adam Jatowt
中科院分区:
文献类型:
--
作者:
I-Chen Hung;Michael Faeber;Adam Jatowt
Recently, many archival news article collections have been made available to wide public. However, such collections are typically large, making it difficult for users to find content they would be interested in. Furthermore, archived news articles tend to be perceived by ordinary users as having rather weak attractiveness and being obsolete or uninteresting. In this paper, we propose the task of finding interesting content from news archives and introduce two simple methods for it. Our approach recommends interesting content by comparing the information written in the past with the one from the present.
DOI:
10.1109/slt.2012.6424268
发表时间:
2012-12
期刊:
2012 IEEE Spoken Language Technology Workshop (SLT)
影响因子:
--
作者:
Yun-Nung (Vivian) Chen;Florian Metze
通讯作者:
Yun-Nung (Vivian) Chen;Florian Metze
DOI:
--
发表时间:
2016
期刊:
--
影响因子:
--
作者:
Georgios N. Yannakakis;Antonios Liapis
通讯作者:
Antonios Liapis
DOI:
--
发表时间:
2002
期刊:
影响因子:
--
作者:
J. Schwartz;Terry Cook
通讯作者:
Terry Cook