On Search Powered Navigation

Our paper "On Search Powered Navigation", with Glorianna Jagfeld, Hosein Azarbonyad, Alex Olieman, Jaap Kamps, Maarten Marx, has been accepted as a short paper at The 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR2017). \o/ Knowledge graphs and other hierarchical domain ontologies hold great promise for complex information seeking tasks, yet their […]

Beating the Teacher: Neural Ranking Models with Weak Supervision

Our paper "Neural Ranking Models with Weak Supervision", with Hamed Zamani, Aliaksei Severyn, Jaap Kamps, and W. Bruce Croft, has been accepted as a long paper at The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2017). \o/ This paper is on the outcome of my pet project during my internship […]

Modeling Retrieval Problem using Neural Networks

Despite the buzz surrounding deep neural networks (DNN) models for information retrieval, the literature is still lacking a systematic basic investigation on how generally we can model the retrieval problem using neural networks. Modeling the retrieval problem in the context of neural networks means the general way that we frame the problem with regards to […]

Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity

Our paper "Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity", with Hosein Azarbonyad, Tom Kenter, Maarten Marx, Jaap Kamps, and Maarten de Rijke, has been accepted as a long paper at The 39th European Conference on Information Retrieval (ECIR'17). \o/ Quantitative notions of topical diversity in text documents are useful in several contexts, e.g., […]

Telling how to narrow it down: Effect of Browsing Path Recommendation on Exploratory Search

Our paper "Telling how to narrow it down: Effect of Browsing Path Recommendation on Exploratory Search", with Glorianna Jagfeld, Hosein Azarbonyad, Alex Olieman, Jaap Kamps, Maarten Marx, has been accepted as a short paper at The ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR'17). \o/ There are several information needs requiring sophisticated human-computer […]

Poison Pills and Antidots: Inoculating Relevance Feedback

"Poison Pills and Antidots: Inoculating Relevance Feedback", an article published in Amsterdam Science Magazine as one of the cool contributions of our CIKM2016 paper. We also have a extended abstract describing this part, accepted to be presented in DIR2016 "Inoculating Relevance Feedback Against Poison Pills", with Hosein Azarbonyad, Jaap Kamps, Djoerd Hiemstra and Maarten Marx. […]