Our CIKM 2017 papers are online now: “Online expectation-maximization for click models” by Ilya Markov, Alexey Borisov, and Maarten de Rijke. Click models allow us to interpret user click behavior in search interactions and to remove various types of bias from user clicks. Existing studies on click models consider a static scenario where user click…
Author: mdr
FAT* Conference on Fairness, Accountability, and Transparency
FAT* is a multi-disciplinary conference that brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. Artificial intelligence, automation, and machine learning are being adopted in a growing number of contexts. Fueled by big data, these systems filter, sort, score, recommend, personalize, and otherwise shape human experiences of socio-technical systems. Although…
Material from NN4IR tutorial online
The material from our highly popular tutorial on Neural Networks for Information Retrieval (NN4IR), presented during SIGIR 2017 in Tokyo is available online at http://nn4ir.com.
Neural Networks for Information Retrieval tutorial at SIGIR 2017
Title: Neural Networks for Information Retrieval (NN4IR) Description: Machine learning plays an important role in many aspects of modern IR systems, and deep learning is applied to all of those. The fast pace of modern-day research into deep learning has given rise to many different approaches to many different IR problems. What are the underlying…
Neu-IR: The SIGIR 2017 Workshop on Neural Information Retrieval
After a very successful first edition of Neu-IR at SIGIR 2016, we are happy to organize a second version of the workshop at SIGIR 2017. Key facts: the web site for Neu-IR 2017 is online now at http://neu-ir.weebly.com, the deadline for submissions is June 11, 2017 and the workshop itself will take place on Friday…
The Birth of Collective Memories
David Graus, Daan Odijk and I just uploaded a manuscript to arXiv on “The Birth of Collective Memories: Analyzing Emerging Entities in Text Streams.” We study how collective memories are formed online. We do so by tracking entities that emerge in public discourse, that is, in online text streams such as social media and news…
We’re hiring (again): Fully funded PhD position in responsible people search
We have another vacancy for a fully funded four-year PhD position in responsible data science and HR analytics. The starting date is “as soon as possible.” Please visit the UvA vacancies pages for details on how to apply.
We’re hiring: Fully funded PhD student in academic search
We have a vacancy for a fully funded four-year PhD position in academic search. The starting date is “as soon as possible.” Please visit the UvA vacancies pages for details on how to apply.
FAT/WEB: Workshop on Fairness, Accountability, and Transparency on the Web
Recent academic and journalistic reviews of online web services have revealed that many systems exhibit subtle biases reflecting historic discrimination. Examples include racial and gender bias in search advertising, image recognition services, sharing economy mechanisms, pricing, and web-based delivery. The list of production systems exhibiting biases continues to grow and may be endemic to the…
Survey on query auto completion online
A survey on query auto completion in information retrieval written by Fei Cai and myself is online now: Fei Cai and Maarten de Rijke. A Survey of Query Auto Completion in Information Retrieval. Foundations and Trends in Information Retrieval, 10(4):273–363, September 2016. Bibtex, PDF @article{cai-survey-2016, author = {Cai, Fei and de Rijke, Maarten}, date-added =…