Social data: Biases, methodological pitfalls, and ethical boundaries

A Olteanu, C Castillo, F Diaz, E Kıcıman - Frontiers in big data, 2019 - frontiersin.org
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …

Dialog-based interactive image retrieval

X Guo, H Wu, Y Cheng, S Rennie… - Advances in neural …, 2018 - proceedings.neurips.cc
Existing methods for interactive image retrieval have demonstrated the merit of integrating
user feedback, improving retrieval results. However, most current systems rely on restricted …

Temporal information retrieval

N Kanhabua, A Anand - Proceedings of the 39th International ACM …, 2016 - dl.acm.org
The study of temporal dynamics and its impact can be framed within the so-called temporal
IR approaches, which explain how user behavior, document content and scale vary with …

[PDF][PDF] Rumorlens: A system for analyzing the impact of rumors and corrections in social media

P Resnick, S Carton, S Park, Y Shen… - Proc. Computational …, 2014 - shcarton.github.io
Some rumors spread quickly and widely through social media. Journalists write about them,
both to help the public understand whether they are true, and to help the public understand …

On interactive learning-to-rank for IR: Overview, recent advances, challenges, and directions

RT Calumby, MA Goncalves, R da Silva Torres - Neurocomputing, 2016 - Elsevier
With the amount and variety of information available on digital repositories, answering
complex user needs and personalizing information access became a hard task. Putting the …