Learning to adaptively rank document retrieval system configurations
(2018)
Journal Article
Deveaud, R., Mothe, J., Ullah, M. Z., & Nie, J. (2019). Learning to adaptively rank document retrieval system configurations. ACM transactions on information systems, 37(1), Article 3. https://doi.org/10.1145/3231937
Modern Information Retrieval (IR) systems have become more and more complex, involving a large number of parameters. For example, a system may choose from a set of possible retrieval models (BM25, language model, etc.), or various query expansion par... Read More about Learning to adaptively rank document retrieval system configurations.