trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes
Author:
Funder
Microsoft
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s10618-023-00966-0.pdf
Reference33 articles.
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4. Burges CJ (2010) From ranknet to lambdarank to lambdamart: an overview. Learning 11:23–581
5. Cai F, De Rijke M (2016) Query auto completion in information retrieval. Universiteit van Amsterdam [Host]
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