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pro vyhledávání: '"Luke Gallagher"'
Autor:
Marwah Alaofi, Luke Gallagher, Dana Mckay, Lauren L. Saling, Mark Sanderson, Falk Scholer, Damiano Spina, Ryen W. White
Publikováno v:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Publikováno v:
CIKM
Feature engineering is a fundamental but poorly documented component in Learning-to-Rank (LTR) search engines. Such features are commonly used to construct learning models for web and product search engines, recommender systems, and question-answerin
Publikováno v:
SIGIR
Language model pre-training has spurred a great deal of attention for tasks involving natural language understanding, and has been successfully applied to many downstream tasks with impressive results. Within information retrieval, many of these solu
Publikováno v:
WSDM
Reducing excessive costs in feature acquisition and model evaluation has been a long-standing challenge in learning-to-rank systems. A cascaded ranking architecture turns ranking into a pipeline of multiple stages, and has been shown to be a powerful
Publikováno v:
ADCS
The Waterloo spam scores are now a commonly used static document feature in web collections such as ClueWeb. This feature can be used as a post-retrieval filter, as a document prior, or as one of many features in a Learning-to-Rank system. In this wo
Autor:
Luke Gallagher
Publikováno v:
SIGIR
Publikováno v:
SIGIR
Complex machine learning models are now an integral part of modern, large-scale retrieval systems. However, collection size growth continues to outpace advances in efficiency improvements in the learning models which achieve the highest effectiveness