Scientists @UofGlasgow have harnessed a powerful supercomputer, normally used to study the universe, to develop a new machine learning model which can help translate the language of proteins. Read more about the new @NatureComms study ➡️ https://t.co/kLWGk9J3Bg

.@mvlacho1 presenting the last of her PhD work at #RecSys2025 : Fashion-AlterEval: A Dataset for Improved Evaluation of Conversational Recommendation Systems with Alternative Relevant Items Cc/ @ir_glasgow @GlasgowCS 📄 https://t.co/KibFfanDpB

🚀 At #RecSys2025 spot #24, Jackson Dam is demoing RecViz, a graph-based visual analytics tool for exploring recommendation datasets & results. 📊 Great for qualitative analysis & insight generation. 👏 A fantastic undergraduate achievement at @GlasgowCS with @iadh & @ZixuanYI_

Alberto Mancino from Politecnico Bari explaining our joint work on Balancing Accuracy and Novelty with Sub-Item popularity at #recsys2025. First author Chiara Mallamaci was a @ir_glasgow @GlasgowCS visitor earlier this year. W/ @asash Walter Annelli, Tommaso Di Noia

Thrilled to join @asash on the Recsperts podcast! Thanks @MarcelKurovski for having us. We had a blast discussing our #RecSys research & transformer-based sequential recommendation. Tune in on your favorite podcast platform

Apply via https://t.co/j2efLhIFFV by Sept 11th

RA job in @ir_glasgow on an EU Horizon project, with @iadh @richardm_ and myself, on the use of LLMs in developing AI agents for the risk and ESG (Environmental, Social and Governance) assessment of sustainability-focused green investment projects. 👇

📢 Come by Poster #130 right now at #ACL2025NLP ! @mengzaiqiao is here! KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation 🔁📚 w/ @JinyuanF and @craig_macdonald — don’t miss the deep dive into knowledge-grounded retrieval! @ir_glasgow

Come over X5 130 and have a chat with me👈

4. 📄 Neural Passage Quality Estimation for Static Pruning https://t.co/7G9i6FTWRD

3. 📄 Static Pruning for Multi-Representation Dense Retrieval https://t.co/xZvilNMphH

2. 📄 Query Embedding Pruning for Dense Retrieval https://t.co/wASvPgk3Q9

Our works that Nicola cited in his talk (also @iadh, @macavaney and others): 1. 📕 Efficient Query Processing for Scalable Web Search (Foundations and Trends in IR) https://t.co/go3xMXLY3t

With some of us already en route home, the rest of #TeamUofG bids farewell to #SIGIR2025 & the beautiful city of Padova. We had a great week full of ideas, activities & connections. Thanks to the organisers for a fantastic conference! Until next time 🇮🇹 #GoodbyePadova #ByeSIGIR

Watching .@ntonellotto presenting at ReNeuIR workshop at #sigir2025, discussing key ideas like static pruning in neural era

Go to stall 091 if you want to check out the poster of this @ir_glasgow work by @DanielTian97 called "Am I on the Right Track?" #SIGIR2025 (done w/t @JinyuanF, @debforit, @mengzaiqiao and @craig_macdonald)

.@DanielTian97 is presenting our work on using QPP in agentic RAG w/ @JinyuanF @debforit @mengzaiqiao 📄 https://t.co/OkVsq7hQ0a

Currently listening to @iadh give his keynote speech on evaluating financial asset recommendation, in the FinIR workshop. Interesting stuff! @ir_glasgow #SIGIR2025

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

Huge congratulations to @macavaney on receiving the prestigious ACM SIGIR Early Career Researcher Award in the research category! This well-deserved recognition highlights the excellence & impact of his work in the IR community 👏🎉#sigir2025 Cc @GlasgowCS @UofGlasgow @ACMSIGIR