Formal models of Information Retrieval; in particular I am interested in
models of search, information seeking and interactions
semantic models of search
exploiting word embeddings in Information Retrieval
evaluation of Information Retrieval (including task-based evaluation)
Medical/Health Information Retrieval; in particular I am interested in
retrieval models & strategies for consumers searching the web for health advise
retrieval models & strategies for cohort identification for clinical trials
retrieval models & strategies for clinical decision support and evidence-based medicine
retrieval models & strategies for automatic systematic review
health search evaluation
If you are a QUT student, or a prospective one, and you are interested to work with me as part of your studies, you can find student projects for PhD, Master, Honours and courseworks here and here. I also welcome international higher education students wanting to do a research visit and collaborating on ideas within my research interests.
PhD Scholarship Available
One PhD scholarship available for students interested in developing search and text mining methods for consumer health search (part of ARC funded project) ...
Different people issue different queries for the same information need. How should we account for this when evaluating IR systems? Read our CIKM 2016 paper
Resources about our ADCS 2015 paper "Integrating and Evaluating Neural Word Embeddings in Information Retrieval" including word embeddings are available from my list of publications...
Tutorial On Models Of Search, Seeking And Retrieval
See the material from the tutorials on modelling interactive information seeking and retrieval that Leif Azzopardi and I have organised at SIGIR 2015, CIKM 2015 and ICTIR 2016.
On the IELab GitHub space you can find a tool to compute understandability-biased evaluation for Information Retrieval. For now, the tool computes RBP and different version of uRBP as defined in our MedIR 2014 and ECIR 2016 papers. Check it out!