An efficient hybrid query recommendation using shingling and hashing techniques

作者：

Highlights：

• Grouping subsequent queries in sessions improves the result of query recommendation.

• Merging query flow and community graphs can expand suggestions for long-tail queries.

• Hashing and shingling techniques are used to achieve an efficient query clustering.

• A denser query log positively impacts on the precision of recommendation results.

摘要

•Grouping subsequent queries in sessions improves the result of query recommendation.•Merging query flow and community graphs can expand suggestions for long-tail queries.•Hashing and shingling techniques are used to achieve an efficient query clustering.•A denser query log positively impacts on the precision of recommendation results.

论文关键词：Query recommendation,Graph embedding,Query-flow graph,Shingles,Locality-sensitive hashing

论文评审过程：Received 10 May 2021, Revised 10 September 2021, Accepted 14 October 2021, Available online 27 October 2021, Version of Record 5 November 2021.

论文官网地址：https://doi.org/10.1016/j.is.2021.101928