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Autocompletion for Prefix-Abbreviated Input

Summary: Proposes QAC where keywords are abbreviated by prefixes with no delimiters, enabling prefix input. Introduces a compact index and processing pipeline with Gaussian mixture-based ranking for prefix input, enabling efficient top-k completion. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5670
Venue
SIGMOD
Year
2019
Pagerank
4.1945683e-05
Overall Rank
11,656 | 18.92%
DOI
10.1145/3299869.3319858

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Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,184 On Effective Multi-Dimensional Indexing for Strings 2000 SIGMOD 0.00013455208
2,073 Extending Autocompletion To Tolerate Errors 2009 SIGMOD 9.6142791e-05
2,232 Effective Phrase Prediction 2007 VLDB 9.2293508e-05
3,570 Location-Aware Type Ahead Search on Spatial Databases: Semantics and Efficiency 2011 SIGMOD 6.958427e-05
4,414 Efficient Type-Ahead Search on Relational Data: a TASTIER Approach 2009 SIGMOD 6.2056993e-05
4,684 Approximate String Joins with Abbreviations 2018 VLDB 6.0006406e-05
6,097 Two-dimensional Substring Indexing 2001 PODS 5.2119402e-05
7,141 Efficient Error-tolerant Query Autocompletion 2013 VLDB 4.8197901e-05
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