Iterative query selection for opaque search engines with pseudo relevance feedback

作者：

Highlights：

• An automated mechanism for optimizing short keyword queries named IQS.

• A large-scale Fake News dataset on 70K news items discussed by 61M tweets.

• Demonstrating the dataset quality through the application of fake news detection.

摘要

•An automated mechanism for optimizing short keyword queries named IQS.•A large-scale Fake News dataset on 70K news items discussed by 61M tweets.•Demonstrating the dataset quality through the application of fake news detection.

论文关键词：Query selection,Opaque search engine,Pseudo relevance feedback,Fake news

论文评审过程：Received 11 March 2021, Revised 12 December 2021, Accepted 27 March 2022, Available online 9 April 2022, Version of Record 20 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117027