The program for the SIGIR 2024 Workshop on IR for Climate Impact, to be held on July 18 during SIGIR 2024 in Washington D.C., is online. See https://sites.google.com/view/ir-for-climate-impact/home for further details.
Category: Events
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…
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…
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…
CIKM 2016 Workshop on Data-Driven Talen Acquisition
The Workshop on Data-Driven Talent Acquisition (DDTA’16) will be co-located with CIKM 2016, held in Indianapolis, USA, on October 28, 2016. Expertise search is a well-established field in information retrieval. In recent years, the increasing availability of data enables accumulation of evidence of talent and expertise from a wide range of domains. The availability of…
Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval
The deadline for submissions to Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval is less than three weeks away. Neu-IR will be a highly interactive full day workshop, featuring a mix of presentation and interaction formats. We welcome application papers, papers that address fundamental modeling challenges, and best practices papers. Please see http://research.microsoft.com/en-us/events/neuir2016/ for…
New flyer for WSDM 2017
The important dates for WSDM 2017 (paper submission deadline, notification date) are fixed. Here’s a new flyer with the details.
SIGIR 2016 tutorial on online learning to rank
Artem Grotov and I will be teaching a half-day tutorial on online learning to rank for information retrieval at SIGIR 2016. During the past 10–15 years offline learning to rank has had a tremendous influence on information retrieval, both scientifically and in practice. Recently, as the limitations of offline learning to rank for information retrieval…
Neu-IR: SIGIR 2016 Workshop on Neural Information Retrieval
SIGIR 2016 will feature a workshop on Neural Information Retrieval. In recent years, deep neural networks have yielded significant performance improvements in application areas such as speech recognition and computer vision. They have also had an impact in natural language applications such as machine translation, image caption generation and conversational agents. Our focus with the…