Conditional variational autoencoder for query expansion in ad-hoc information retrieval

Query expansion (QE) is commonly used to improve the performance of traditional information retrieval (IR) models. With the adoption of deep learning in IR research, neural QE models have emerged in recent years. Many of these models focus on learning embeddings by leveraging query-document relevanc...

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Bibliographic Details

Published in:	Information sciences Vol. 652; p. 119764
Main Authors:	Ou, Wei, Huynh, Van-Nam
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.01.2024
Subjects:	Conditional variational autoencoder Information retrieval Query expansion Relevance language model Conditional variational autoencoder Information retrieval Query expansion Relevance language model
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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