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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Vydané v:	Information sciences Ročník 652; s. 119764
Hlavní autori:	Ou, Wei, Huynh, Van-Nam
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.01.2024
Predmet:	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
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