Database Paper Browser

Back to papers

Similarity Joins of Sparse Features

Summary: Introduces FastScalableSparseJoiner (FSSJ) for sparse-feature similarity joins. Uses quasi-prefix filtering that exploits element-skew to prune candidates and avoid broadcasting, enabling load-balanced, shared-nothing execution. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6778
Venue
SIGMOD
Year
2024
Pagerank
4.1945683e-05
Overall Rank
10,930 | 23.97%
DOI
10.1145/3626246.3653370

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers