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.
1. Bar-Yossef Z, Kraus N (2011) Context-sensitive query auto-completion. In: Proceedings of the 20th international conference on world wide web (pp. 107–116)
2. Bhatia S,Majumdar D, Mitra P (2011) Query suggestions in the absence of query logs. In: Proceedings of the 34th international ACM SIGIR conference on research and development in information retrieval (pp. 795–804)
3. Bonchi F, Perego R, Silvestri F, Vahabi H, Venturini R (2012) Efficient query recommendations in the long tail via center-piece subgraphs. In: Proceedings of the 35th international ACM SIGIR conference on research and development in information retrieval (pp. 345–354)
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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