Aleksandr V. Petrov
@asash
Senior Scientist (IR/RecSys/ML) @Tripadvisor | PhD @ University of Glasgow | Ex. Senior Software Engineer @Amazon | The opinions are mine
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
2nd day at #SIGIR2025 ☀️ After the first keynote, a great talk by @asash on combining joint product quantization and dynamic pruning to accelerate top-k computation. No need to compute all scores anymore! 😎 Work with @craig_macdonald and @ntonellotto .
Just presented our work at #SIGIR2025. @craig_macdonald gave a great overview. If you have any questions, feel free to catch me during the coffee break!
.@Asash is talking about our #sigir2025 📄 applying dynamic pruning ideas in sequential recommended systems, using sub-id representations w/ myself and @ntonellotto
If you're at #SIGIR2025 and interested in large-scale RecSys, pop by my talk on Monday! I'll be presenting our paper (w/ @craig_macdonald and @ntonellotto): 'Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings'. 🔗 arxiv.org/abs/2505.00560
📢 We're off to #SIGIR2025 in Padova! A large contingent of our students & staff will be at the main conference + tutorials, workshops & #ICTIR2025. Let’s connect if you’re around! 🤝 Also: we're hiring in #FinTech — DM us if you're interested! #IR #Hiring #Research #ACMSIGIR
Huge congratulations to our brilliant PhD graduates: @tjaenich, @mvlacho1, @asash - It’s been a joy having you @GlasgowCS. We’re so proud of all you’ve achieved and can’t wait to see what amazing things you’ll do next. Wishing you all the best! 🎉👏 #PhDGraduation #PhDSuccess
We’re excited to announce that WSDM 2026 will take place in Boise, Idaho, from February 22 to 26, 2026! Stay tuned and visit 🔗wsdm-conference.org/2026/ for updates! #WSDM2026
Happy to share that the OARS@KDD2025 workshop accepts our work. In this work, we turn a sequential recommendation system into a semantic search using generative language models. Apparently, this works really well.
1/9 Happy to share that our paper GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation is accepted at the KDD OARS workshop! 🎉 Paper, code: github.com/krishnacharya/… This is joint work with my wonderful collaborators @asash and Juba Ziani.
Thanks to everyone involved! Extremely happy that no corrections required!
Delighted that @asash passed his 🎓 PhD defense this morning, without corrections. Thanks to @pcastells and Nicolas Pugeault for their thorough examination of the thesis, and @mobilelearnfeed for convening the defense!
I'm delighted to announce that I'm joining hashtag @Amazon Edinburgh as a part-time Visiting Scholar, working on recommendations
Visiting the office for the first time #Viator #Tripadvisor
The pre-print of our #SIGIR2025 paper is now available at arXiv: arxiv.org/abs/2505.00560! /w @craig_macdonald & @ntonellotto
Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings @asash et al. introduce a dynamic pruning algorithm that efficiently finds top-K items without computing scores for the entire catalogue 📝arxiv.org/abs/2505.00560 👨🏽💻github.com/asash/recjpq_d…
Arrivederci @ecir2025 #ecir2025 … and thanks for all the fish - see you all in Delft.
The last remaining members of the group at the closing of the #ir4good track and the #ecir2025 workshops. As we bid farewell to the charming and warm Lucca, it’s time to start new journeys including heading back to the sunny and green Glasgow!
Now listening to David Wardrope who presents our IR4Good paper (work done in Amazon; @kvachai is the lead author here). Paper link: arxiv.org/abs/2501.18117 #ECIR2025
Our own @asash has just finished presenting his paper entitled ‘CountNet: Utilising Repetition Counts in Sequential Recommendation’ in the Recommenders session of #ecir2025 - the paper is the outcome of his internship at Amazon
I really enjoyed presenting today! Will be happy to chat about the paper if you have any questions left.
Listening to @asash presenting his paper entitled ‘CountNet: Utilising Repetition Counts in Sequential Recommendation’ in Recommenders session at @ecir2025.
See you soon in Lucca!
A large contingent of our staff & students @GlasgowCS will soon be traveling to #ECIR2025. We'll be presenting our latest work in #search & #RecSys throughout the 5-day conference. Looking forward to connecting with colleagues and friends in Lucca! @ecir2025 @IDAglasgow
Can data splitting impact recommender performance? This study shows that different splitting strategies can drastically alter model rankings, challenging claims of state-of-the-art performance. Learn more: shaped.ai/blog/data-spli…