Online learning to rank methods aim to optimize ranking models based on user interactions. The dueling bandit gradient descent (DBGD) algorithm is able to effectively optimize line...
Consumer reviews provide a wealth of information about products and services that, if properly identified and extracted, could be of immense value to businesses. While classifica...
Mehedi Hasan, Alexander Kotov, Aravind Mohan, Shiy...
Abstract. We present a dataset for learning to rank in the medical domain, consisting of thousands of full-text queries that are linked to thousands of research articles. The queri...
Vera Boteva, Demian Gholipour, Artem Sokolov, Stef...
This paper presents an approach to detect real-world events as manifested in news texts. We use vector space models, particularly neural embeddings (prediction-based distributiona...
In many questions in Community Question Answering sites users look for the advice or opinion of other users who might offer diverse perspectives on a topic at hand. The novel task...
Liora Braunstain, Oren Kurland, David Carmel, Idan...
In this paper we study key estimation in electronic dance music, an umbrella term referring to a variety of electronic music subgenres intended for dancing at nightclubs and raves....
This paper proposes a new model for the detection of clickbait, i.e., short messages that lure readers to click a link. Clickbait is primarily used by online content publishers to ...
When searching on Twitter, readers have to determine the credibility level of tweets on their own. Previous work has mostly studied how the text content of tweets influences credi...
Shafiza Mohd Shariff, Mark Sanderson, Xiuzhen Zhan...
The Open-Source IR Reproducibility Challenge brought together developers of open-source search engines to provide reproducible baselines of their systems in a common environment on...
Jimmy Lin, Matt Crane, Andrew Trotman, Jamie Calla...
This paper presents a method to classify social media users based on their socioeconomic status. Our experiments are conducted on a curated set of Twitter profiles, where each use...
Vasileios Lampos, Nikolaos Aletras, Jens K. Geyti,...