A couple weeks a go, I attended MILLA Deep Learning summer school (DLSS) from June 26th to July 1st and Reinforcement Learning summer school (RLSS) from July 3rd to 5th, 2017, organized by Yoshua Bengio and Aaron Courville. You can find information about the lectures here. In the following, I will share some of "my" highlights from […]
Our paper "Learning to Attend, Copy, and Generate for Session-Based Query Suggestion", with Sascha Rothe, Enrique Alfonseca, and Pascal Fleury, has been accepted as a long paper at the international Conference on Information and Knowledge Management (CIKM'17). This paper is on the outcome of my internship at Google Research. \o/ Users interact with search engines […]
Our paper "Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking", with Hosein Azarbonyad, Jaap Kamps, and Maarten de Rijke, has been accepted at Neu-IR: SIGIR Workshop on Neural Information Retrieval (NeuIR'17). \o/ Deep neural networks demonstrate undeniable success in several fields and employing them is taking o for information retrieval […]
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 […]
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 […]
We will be giving a full day tutorial on "Neural Networks for Information Retrieval", with Tom Kenter, Alexey Borisov, Christophe Van Gysel, Maarten de Rijke, Bhaskar Mitra at The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2017). \o/ The aim of this full-day tutorial is to give a clear overview […]
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 […]
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., […]
I've started a four-months internship at Google Research \o/. I am working on Natural Language Generation using Neural Computational Models, with Aliaksei Severy, Enrique Alfonseca and Sascha Rothe.
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 […]