activity
20122026
most citedDocument Clustering Evaluation: Divergence from a Random Baseline

20 citations · 44 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

CoLa-ICD: A Knowledge-Enhanced Framework for Long-Tail Automated Medical Coding

Yihang Cheng, Veronica Liesaputra, Andrew Trotman

Automatic medical coding assigns ICD codes to clinical notes, but it remains challenging due to long documents, imbalanced label distributions, and diverse terms. These challenges…

cs.IR2025

Information Retrieval for Climate Impact

Maarten de Rijke, Bart van den Hurk, Flora Salim +28

The purpose of the MANILA24 Workshop on information retrieval for climate impact was to bring together researchers from academia, industry, governments, and NGOs to identify and di…

cs.IR2021★ 17 cited

Wacky Weights in Learned Sparse Representations and the Revenge of Score-at-a-Time Query Evaluation

Joel Mackenzie, Andrew Trotman, Jimmy Lin

Recent advances in retrieval models based on learned sparse representations generated by transformers have led us to, once again, consider score-at-a-time query evaluation techniqu…

cs.IR2020★ 3 cited

Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format

Jimmy Lin, Joel Mackenzie, Chris Kamphuis +5

There exists a natural tension between encouraging a diverse ecosystem of open-source search engines and supporting fair, replicable comparisons across those systems. To balance th…

cs.IR2019

Report on the SIGIR 2019 Workshop on eCommerce (ECOM19)

Jon Degenhardt, Surya Kallumadi, Utkarsh Porwal +1

The SIGIR 2019 Workshop on eCommerce (ECOM19), was a full day workshop that took place on Thursday, July 25, 2019 in Paris, France. The purpose of the workshop was to serve as a pl…

cs.IR2013★ 4 cited

Future Web Growth and its Consequences for Web Search Architectures

Andrew Trotman, Jinglan Zhang

Introduction: Before embarking on the design of any computer system it is first necessary to assess the magnitude of the problem. In the case of a web search engine this assessment…

cs.IR2012★ 20 cited

Document Clustering Evaluation: Divergence from a Random Baseline

Christopher M. De Vries, Shlomo Geva, Andrew Trotman

Divergence from a random baseline is a technique for the evaluation of document clustering. It ensures cluster quality measures are performing work that prevents ineffective cluste…