Term-by-Term Query Auto-Completion for Mobile Search
Author:
Affiliation:
1. University of Glasgow, Glasgow, United Kingdom
2. Yahoo Labs, London, United Kingdom
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2835776.2835813
Reference27 articles.
1. Approximate graph mining with label costs
2. Context-sensitive query auto-completion
3. Query suggestions in the absence of query logs
4. The webgraph framework I
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1. Query Refinement into Information Retrieval Systems: An Overview;J INF ORGAN SCI;2023
2. Query Auto-Completion;Query Understanding for Search Engines;2020
3. Search, Mining, and Their Applications on Mobile Devices;ACM Transactions on Information Systems;2017-08-24
4. A Neural Language Model for Query Auto-Completion;Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval;2017-08-07
5. Mobile Information Retrieval;SpringerBriefs in Computer Science;2017
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