🎄 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.

🎄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.

🎄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.

🎄 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.

🎄 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

🎄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/...

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

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...

🎄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.

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!

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

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!

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

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...

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...

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

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.

We snuck out new releases in PyTerrier ecosystem in the last few weeks, with a number of 😍 changes…. 🧵👇 1/7 github.com/terrier-org/... pyterrier.readthedocs.io cc/ @irglasgow.bsky.social