The University of Amsterdam (ILPS) at TREC 2015 Total Recall Track

Open Access
Authors
Publication date 2016
Host editors
  • E.M. Voorhees
  • A. Ellis
Book title The Twenty-Fourth Text REtrieval Conference (TREC 2015) Proceedings
Series NIST Special Publication, SP 500-321
Event The Twenty-Fourth Text REtrieval Conference (TREC 2015)
Number of pages 6
Publisher Gaithersburg, MD: National Institute of Standards and Technology
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
We describe the participation of the University of Amsterdams ILPS group in the Total Recall track at TREC 2015. Based on the provided Baseline Model Implemention (”BMI”) we set out to provide two more baselines we can com-pare to in future work. The two methods are bootstrapped by a synthetic document based on the query, use TF/IDF features, and sample with dynamic batch sizes which depend on the per-centage of predicted relevant documents. We sample at least 1 percent of the corpus and stop sampling if a batch contains no relevant docu-ments. The methods differ in the classifier used, i.e. Logistic Regression and Random Forest.
Document type Conference contribution
Language English
Published at https://trec.nist.gov/pubs/trec24/papers/UvA.ILPS-TR.pdf
Other links https://trec.nist.gov/pubs/trec24/trec2015.html
Downloads
UvA.ILPS-TR (Final published version)
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