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…
Special issue on Neural Information Retrieval
The Information Retrieval Journal has put out a call for contributions to a special issue on neural information retrieval. Topics for this issue include the application of neural network models in IR tasks, including but not limited to: Full text document retrieval, passage retrieval, question answering Web search, paid search, searching social media, entity search…
We’re hiring: 3 PhD positions in Academic Search
As part of a collaborative project between the University of Amsterdam, the VU University Amsterdam, the Royal Netherlands Academy of Arts and Sciences, and Elsevier, we are looking to fill three fully funded PhD student positions in the area of academic search. Please visit the University’s vacancy page for details on the project and on…
Algoritmen zijn niet neutraal. En dat is maar goed ook.
David Graus en ik schreven een stukje over neutraliteit en algoritmen voor NRC en NRC.Next onder de titel “Algoritmen zijn niet neutraal. En dat is maar goed ook.” Helaas meende de redactie er een andere titel boven te moeten plakken, een titel die nogal afleidt van onze boodschap. (NRC Handelsblad, 17 juni 2016, pagina 16.)
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…
We’re hiring: PhD students and postdoc in learning to rank for IR
We’re looking for two PhD students and a postdoc to work on a project on learning to rank for information retrieval. The goal of the project is to lay the foundations for contextual LTR methods, which automatically construct the right ranking features based on the query context. The project will use data collected through natural…
We’re hiring: PhD student or postdoc Citizen Data Science
We’re looking to hire a PhD student or postdoc to work on citizen data science. Citizens increasingly share their lives online. Through social media experiences, opinions and reports of events are shared. In parallel, residents of cities such as Amsterdam collect data using widely available sensor technologies, to measure air quality, traffic, or trash on…