Computational Surprise in Information Retrieval
Computational Surprise in Information Retrieval
复制标题
信息检索中的计算惊喜
DOI：
10.1145/3209978.3210197
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
W. Ke
中科院分区：
文献类型：
--
作者：
Xi Niu;Wlodek Zadrozny;Kazjon Grace;W. Ke
惊喜的概念是人类学习和发展的核心。然而，与准确性相比，惊喜在IR社区中很少受到关注，但它是信息寻求过程中的一个重要组成部分。该研讨会汇集了IR的研究人员和从业者，讨论计算惊喜的主题，制定研究议程，并研究如何构建数据集以研究这个迷人的主题。本次研讨会的主题包括讨论可以从其他领域的一些知名惊喜模型中学到什么，如贝叶斯惊喜;如何基于用户体验评估惊喜;以及计算惊喜如何与新兴领域相关，如假新闻检测，计算矛盾，点击诱饵检测等。
The concept of surprise is central to human learning and development. However, compared to accuracy, surprise has received little attention in the IR community, yet it is an essential component of the information seeking process. This workshop brings together researchers and practitioners of IR to discuss the topic of computational surprise, to set a research agenda, and to examine how to build datasets for research into this fascinating topic. The themes in this workshop include discussion of what can be learned from some well-known surprise models in other fields, such as Bayesian surprise; how to evaluate surprise based on user experience; and how computational surprise is related to the newly emerging areas, such as fake news detection, computational contradiction, clickbait detection, etc.