Richard McCreadie @richardm_
Lecturer (Univ. of Glasgow): Specialized in real-time search, event detection, summarization, social media, crowdsourcing, big streaming data dcs.gla.ac.uk/~richardm Glasgow, Scotland Joined February 2009-
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Yongjae Lee highlighting risks with using LLMs when developing financial portfolios at #FinIR workshop at #SIGIR25
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Listening to Yongjae Lee from the UNIST Financlial Engineering Lab giving a keynote on LLMs in Portfolio Selection: Embedding, Bias, and Optimization at #SIGIR2025
Richard McCreadie retweeted
@iadh's keynote at #SIGIR2025 FinIR workshop: Financial asset recommendation is a multi-objective, multi-modal and heavily time-dependent problem, that needs to be personalised to individual's investment profiles to be successful. @ir_glasgow @GlasgowCS
Richard McCreadie retweeted
Starting the day at #SIGIR2025 FinIR Workshop with a lively keynote presentation by @iadh: Beyond Profit: Evaluating Financial Recommenders with Real-World Transactions. @ir_glasgow @IDAglasgow @GlasgowCS
Just finished presenting our paper with @zijunlong on how to enhance interactive image retrieval at inference time with diffusion models at #SIGIR2025
Richard McCreadie retweeted
Poster number 33 at #sigir2025, @JackMcK1999's work on Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems, with me and @craig_macdonald. @ir_glasgow arxiv.org/abs/2507.07924
Richard McCreadie retweeted
Excellent #SIGIR2025 talk by @TTsamurai2 presenting our user study on the use LLMs to conduct financial advice with @richardm_ , @iadh and Kiyoshi Izumi!
Richard McCreadie retweeted
And, to conclude our #SIGIR2025 IR in Finance tutorial, Yongjae Lee is now telling us about LLMs for Portfolio Construction!
Richard McCreadie retweeted
Now it’s the turn of @JavierSanzCruza to speak at the #sigir2025 Fintech tutorial about details of existing financial recommendation models in the literature
This morning at the #SIGIR2025 FinTech tutorial in PALLADIO A: Before Coffee break, Intro and AI agents for finance, after coffee we have recommender systems for finance
Richard McCreadie retweeted
Happening now, @ChungChiChen1 is kick-starting our #SIGIR2025 tutorial on IR in Finance! Come to PALLADIO A to hear more!
Richard McCreadie retweeted
Now, @lubingzhiguo_ from @UofGlasgow presents at the FinNLP workshop @ IJCAI'24 #IJCAI2024
Richard McCreadie retweeted
The deadline to apply for these funded PhD scholarships is fast approaching: 31st July 2024. Come work with us at @ir_glasgow @IDAglasgow @GlasgowCS!
The deadline to apply for these funded PhD scholarships is fast approaching: 31st July 2024. Come work with us at @ir_glasgow @IDAglasgow @GlasgowCS!
Richard McCreadie retweeted
Happy to announce three papers at the #IJCAI2024 Workshop on Recommender Systems in Finance (Fin-RecSys). Pre-prints available soon! #Finance #RecSys (1/10)
Congratulations to @pugantsov who passed his PhD VIVA this morning with minor corrections. His thisis is 'A Framework for Effective Intermediate Task Selection in Transfer Learning'. Thanks to @YashMosh and @debforit for examining. @GlasgowCS @ir_glasgow @TerrierTeam
Richard McCreadie retweeted
Prof. @iadh delivering an invited talk at @fire_forum on the importance of reproducibility in IR research. @ir_glasgow
Richard McCreadie retweeted
3: @richardm_ and I are still looking for a motivated student to work with us on optimizing the resource usage of large-scale data service infrastructure (as operated by Barclays in Glasgow)! ☁💻🌱
Richard McCreadie retweeted
Happening now, @richardm_ is presenting our work in financial asset recommendations in a keynote on the #ICAIF2023 workshop on Machine Learning for Investor Modelling and Recommender Systems.
Are you a UK student looking to do a #PhD? Interested in working with big finance data at #Barclays? Only a few days left to apply for this scholarship at @UofGlasgow findaphd.com/phds/project/p…
Richard McCreadie retweeted
Time to gear up! The full paper abstract deadline is just over one week away, on Sep 20 (11:59 PM AoE). For more details, see: ecir2024.org/2023/05/22/cal… Full paper submissions are due on Sep 27 (11:59 PM AoE).
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