Marc Sloan is a senior graduate student completing his PhD thesis in University College London. His background is in information retrieval, machine learning and financial computing and his thesis is on dynamic IR. His research interests in information retrieval include applying reinforcement learning techniques such as multi-armed bandits and POMDPs to IR learning systems over time, contextual session search and query suggestion.
By Marc Sloan on 26th April 2015
Change is at the heart of a modern Information Retrieval system. Advances in IR interface, personalization and ad display demand models that can intelligently react to users and their context in real time. Many of the current problems in IR research can be attributed to dynamic systems, for instance, in session search or recommender systems. The […]
By Marc Sloan on 25th July 2014
The 37th Annual SIGIR Conference was held at Gold Coast, Australia in July 2014. The conference was chaired by Shlomo Geva and Andrew Trotman and organised with support from QUT, RMIT, The University of Melbourne and The University of Otago. Located at the Gold Coast Convention and Exhibition Centre, the venue was just a 5 […]