Learned Metric Index — Proposition of learned indexing for unstructured data
作者：
Highlights：
• A novel approach for searching in unstructured data which exploits machine learning.
• Proposal interconnects learned models into a single index structure.
• Searching is re-framed as a classification problem instead of computing distances.
• The proof-of-concept implementation shows more than competitive performance.
• Numerous promising directions for the future enhancements are outlined.
摘要
•A novel approach for searching in unstructured data which exploits machine learning.•Proposal interconnects learned models into a single index structure.•Searching is re-framed as a classification problem instead of computing distances.•The proof-of-concept implementation shows more than competitive performance.•Numerous promising directions for the future enhancements are outlined.
论文关键词：Index structures,Learned index,Unstructured data,Content-based search,Metric space
论文评审过程：Received 5 March 2021, Revised 23 March 2021, Accepted 24 March 2021, Available online 8 April 2021, Version of Record 20 April 2021.
论文官网地址：https://doi.org/10.1016/j.is.2021.101774
