Improving Pseudo-Relevance Feedback With Neural Network-Based Word Representations

Improving Pseudo-Relevance Feedback With Neural Network-Based Word Representations

In information retrieval, query expansion methods, such as pseudo-relevance feedback, are designed to enrich users' queries with relevant terms for comprehensively interpreting the desired information. One of the key issues for query expansion is how to obtain high-quality expansion terms to ca...

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Bibliographic Details
Main Authors: Bo Xu, Hongfei Lin, Yuan Lin, Liang Yang, Kan Xu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Information retrieval
learning-to-rank
pseudo-relevance feedback
word representations
Online Access:https://ieeexplore.ieee.org/document/8493557/

Internet

https://ieeexplore.ieee.org/document/8493557/

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