We’re looking for three strong candidates for a fully funded PhD student position in information retrieval, a three-year postdoc position in information retrieval, and a three-year postdoc position in media studies. This is a collaborative project, called MediaNow, between the Informatics Institute and Department of Media Studies of the University of Amsterdam and the Netherlands…
Author: mdr
Fully funded PhD position in machine learning for information retrieval
We’re looking for a strong candidate for a fully funded four-year PhD position on a collaborative project with Microsoft Research Cambridge. The research will focus on the development of new algorithms for leveraging data reuse in order to efficiently evaluate and optimize the behavior of information retrieval systems. See this page for the advertisement, further requirements, and…
NWO grant: MediaNow project on narrative search engines
José van Dijck, Johan Oomen and I obtained an NWO Creative Industries grant to work on next generation search engine technologies for for exploring large multimedia archives. The target users are media-professionals. The proposed innovations at the interface of computer science and media studies come in three kinds. First, we will develop, test and release…
ACM TOIS paper on a comparative analysis of interleaving methods for aggregated search online
Our ACM Transactions on Information Systems paper called “A comparative analysis of interleaving methods for aggregated search” by Aleksandr Chuklin, Anne Schuth, Ke Zhou and Maarten de Rijke is available online now. A result page of a modern search engine often goes beyond a simple list of “ten blue links.” Many specific user needs (e.g., News, Image,…
IPM paper on burst-aware data fusion for microblog search online
An Information Processing & Management paper on burst-aware data fusion for microblog search by Shangsong Liang and Maarten de Rijke is online now. We consider the problem of searching posts in microblog environments. We frame this microblog post search problem as a late data fusion problem. Previous work on data fusion has mainly focused on aggregating…
ECIR 2015 paper on user behavior in location search on mobile devices online
Our ECIR 2015 paper on user behavior in location search on mobile devices by Yaser Norouzzadeh Ravari, Ilya Markov, Artem Grotov, Maarten Clements and Maarten de Rijke is online now. Location search engines are an important part of GPS-enabled devices such as mobile phones and tablet computers. In this paper, we study how users behave when they…
ECIR 2015 paper on multi-emotion detection in user-generated reviews online
Our ECIR 2015 paper on multi-emotion detection in user-generated reviews by Lars Buitinck, Jesse van Amerongen, Ed Tan and Maarten de Rijke is online now. Expressions of emotion abound in user-generated content, whether it be in blogs, reviews, or on social media. Much work has been devoted to detecting and classifying these emotions, but little of it…
ECIR 2015 paper on automatically assessing Wikipedia article quality by exploiting article-editor networks online
Our ECIR 2015 paper on automatically assessing article quality by exploiting article-bitor networks by Xinyi Li, Jintao Tang, Ting Wang, Zhunchen Luo and Maarten de Rijke is online now. We consider the problem of automatically assessing Wikipedia article quality. We develop several models to rank articles by using the editing relations between articles and editors. First, we…
Update to Streamwatchr live
In the run-up to the Buma Music meets Tech Award at Noorderslag 2015, an update to our music discovery demonstrator Streamwatchr has gone live. An improved interface that is easier on your device’s battery life, some new functionality and a Twitter bot called @lyricswatchr are the most important ingredients of the update.
WSDM 2015 paper on large-scale online ranker evaluation online
Our WSDM 2015 paper “mergeRUCB: A method for large-scale online ranker evaluation” by Masrour Zoghi, Shimon Whiteson and Maarten de Rijke is online now. A key challenge in information retrieval is that of on-line ranker evaluation: determining which one of a finite set of rankers performs the best in expectation on the basis of user clicks on…