iiinova — where your digital self keeps evolving

Reposted by TerrierTeam, Glasgow CS

Glasgow IR Group @irglasgow.bsky.social · 24/12/2025

🎄 PyTerrier Advent 24/25: Removing low-quality docs can boost search quality and cut indexing costs. Our SIGIR’24 paper QT5 trains a T5 model to filter passages at indexing time—easy to integrate, and works with dense, PISA, or SPLADE indexes too.

143

Reposted by TerrierTeam, Glasgow CS

Glasgow IR Group @irglasgow.bsky.social · 23/12/2025

🎄PyTerrier Advent 23/25: You’ve done retrieval, but the results seem too homogeneous. Use a diversification reranker. Shown below is the implicit MMR diversification approach, instantiated on a BM25 or dense retrieval, but even an explicit approach like xQuAD (c.f. Rodrygo Santos) is easy to write.

133

Reposted by TerrierTeam, Glasgow CS

Glasgow IR Group @irglasgow.bsky.social · 21/12/2025

🎄PyTerrier Advent 21/25: Bounded recall blues got you down? You can use Adaptive Retrieval techniques, like GAR, LADR, and LAFF, to efficiently surface missing relevant documents.

122

Reposted by TerrierTeam, Glasgow CS

Glasgow IR Group @irglasgow.bsky.social · 22/12/2025

🎄 PyTerrier Advent 22/25: A more complex pipeline—knowledge-graph–enhanced RAG from our EMNLP 2024 paper TRACE. We build a KG over retrieved docs, then use a transformer to reason over triples for better QA. This pipeline instantiation uses a cache (see 20th advent) on LLM-based KG extraction.

144

Reposted by TerrierTeam, Glasgow CS

Glasgow IR Group @irglasgow.bsky.social · 13/12/2025

🎄 PyTerrier Advent 13/25: Doc2query expands docs with generated queries, but can hallucinate. Our ECIR’23 paper Doc2query-- (aka "minus minus") filters generated queries using a cross-encoder before indexing. PyTerrier pipeline: generate→score→filter→index. 📄https://arxiv.org/pdf/2301.03266

133

Reposted by TerrierTeam, Glasgow CS

Glasgow IR Group @irglasgow.bsky.social · 08/12/2025

🎄PyTerrier Advent 8/25: Beyond sparse! PyTerrier_dr adds dense indexing & retrieval. Instantiate an encoder model, compose with FlexIndex. Retrieval is identical. Support models include: ANCE, TCT-ColBERT, BGE, E5, or any SentenceTransformer model. 👉 github.com/terrierteam/...

134

Reposted by TerrierTeam, Glasgow CS

Glasgow IR Group @irglasgow.bsky.social · 02/12/2025

PyTerrier advent 2/25: Here's another classic one: Pseudo-Relevance Feedback. Here we retrieve with BM25, build a new query from the results with RM3, then execute the new reformulated query. PyTerrier lets you see the transitions of datatypes (Q→R→Q→R) in the datatypes

133

Reposted by TerrierTeam, Glasgow CS

Glasgow IR Group @irglasgow.bsky.social · 28/11/2025

We are happy to sponsor the Keith Van Rijsbergen (KvR) Award at #ECIR2026 📢 𝗡𝗼𝗺𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝗼𝗽𝗲𝗻! Details and Submission Form at @ecir2026.eu website: lnkd.in/emecdsXm 🗓 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲: 𝟭𝟱 𝗝𝗮𝗻𝘂𝗮𝗿𝘆 𝟮𝟬𝟮𝟲 www.linkedin.com/posts/glasgo...

linkedin.com

Keith van Rijsbergen Award | Glasgow Information Retrieval Group

𝗞𝘃𝗥 𝗔𝘄𝗮𝗿𝗱 @ 𝗘𝗖𝗜𝗥 𝟮𝟬𝟮𝟲 We are proud to sponsor the Keith Van Rijsbergen (KvR) Award at ECIR 2026. Keith van Rijsbergen is a pioneer of modern Information Retrieval, with a long history at the Univers...

065

Reposted by TerrierTeam, Glasgow CS

Glasgow IR Group @irglasgow.bsky.social · 01/12/2025

🎄We want to try something new and fun this year – an “Advent Calendar” of PyTerrier pipelines 🤓 We’ll kick it off with *the* baseline: BM25 on MSMARCO. One line to download a pre-built index, one line to make a BM25 retriever, one line to search.

184

Reposted by TerrierTeam, Glasgow CS

grahammcdonald.bsky.social @grahammcdonald.bsky.social · 24/04/2025

Congratulations to @tjaenich.bsky.social who defended his PhD Thesis Fair Group-Based Exposure of Documents in Ranked Search Results 👏👏 Was a pleasure supervising your PhD along with @iadhounis.bsky.social. @irglasgow.bsky.social Thanks to the examiners Dr. Sole Pera and Christos Anagnostopoulos!

0126

Reposted by TerrierTeam, Glasgow CS

Javier Sanz-Cruzado @javiersanzcruza.bsky.social · 08/04/2025

An amazing work by @ttsamurai.bsky.social! Happy to see so much interest on conversational financial agents from the #ECIR2025 community!

021

Reposted by TerrierTeam, Glasgow CS

Glasgow IR Group @irglasgow.bsky.social · 03/04/2025

A large contingent of our staff & students @uofgcompsci.bsky.social 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!

0208

Reposted by TerrierTeam, Glasgow CS

grahammcdonald.bsky.social @grahammcdonald.bsky.social · 17/03/2025

Watching @iadhounis.bsky.social give a Keynote talk about reproducibility and PyTerrier pipelines in Tsukuba x Glasgow workshop on the Frontiers of AI. @irglasgow.bsky.social

074

Reposted by TerrierTeam, Glasgow CS

grahammcdonald.bsky.social @grahammcdonald.bsky.social · 17/03/2025

We are recruiting a postdoc at @irglasgow.bsky.social to work on the Participatory Harm Auditing Workbenches and Methodologies (PHAWM) RAI UK project on Responsible AI. phawm.org Deadline: 26th March www.jobs.gla.ac.uk/job/research...

phawm.org

phawm

055

Reposted by TerrierTeam, Glasgow CS

Iadh Ounis @iadhounis.bsky.social · 26/02/2025

Come work with us in Glasgow! We are recruiting a postdoc at @uofgcompsci.bsky.social to work on understanding & measuring the harm of AI-driven IR approaches within various search contexts as part of the PHAWM project on Responsible AI. Deadline: 26/03 Details: www.jobs.gla.ac.uk/job/research...

jobs.gla.ac.uk

Research Associate

Job PurposeTo make a leading contribution to the Participatory Harm Auditing Workbenches and Methodologies (PHAWM) project. Working with Information Retrieval experts Prof Iadh Ounis, Prof Craig Ma...

066

Reposted by TerrierTeam, Glasgow CS

Zixuan Yi @zixuanyi.bsky.social · 23/01/2025

Happy to share that our paper entitled "A Multi-modal Large Language Model with Graph-of-Thought for Effective Recommendation" has been accepted by @naaclmeeting.bsky.social as a main conference paper, co-authored with @iadhounis.bsky.social. #NAACL2025

084

Reposted by TerrierTeam, Glasgow CS

Zixuan Yi @zixuanyi.bsky.social · 14/01/2025

Happy to share that our paper entitled “Enhancing Recommender Systems: Deep Modality Alignment with Large Multi-Modal Encoders” has been accepted by ACM Transactions on Recommender Systems - joint work with Zijun Long, @iadhounis.bsky.social, @craigmacdonald.bsky.social and @richardmcc.bsky.social.

063