Demo Data from EDBT 2026 / reviewers in the wild / expert
Bob Goodwin
dblp:204/0170
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › indexing
inverted index |
0.3 | 1 | 2017 | BitFunnel: Revisiting Signatures for Search · SIGIR 2017 |
Information retrieval › indexing
search engine indexing |
0.3 | 1 | 2017 | BitFunnel: Revisiting Signatures for Search · SIGIR 2017 |
Information retrieval › indexing › signature file
signature file indexing |
0.3 | 1 | 2017 | BitFunnel: Revisiting Signatures for Search · SIGIR 2017 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | BitFunnel: Revisiting Signatures for SearchabstractSince the mid-90s there has been a widely-held belief that signature files are inferior to inverted files for text indexing. In recent years the Bing search engine has developed and deployed an index based on bit-sliced signatures. This index, known as BitFunnel, replaced an existing production system based on an inverted index. The driving factor behind the shift away from the inverted index was operational cost savings. This paper describes algorithmic innovations and changes in the cloud computing landscape that led us to reconsider and eventually field a technology that was once considered unusable. The BitFunnel algorithm directly addresses four fundamental limitations in bit-sliced block signatures. At the same time, our mapping of the algorithm onto a cluster offers opportunities to avoid other costs associated with signatures. We show these innovations yield a significant efficiency gain versus classic bit-sliced signatures and then compare BitFunnel with Partitioned Elias-Fano Indexes, MG4J, and Lucene. Bob Goodwin, Michael Hopcroft, Dan Luu, Alex Clemmer, Mihaela Curmei, Sameh Elnikety, Yuxiong He |
SIGIR | 1 |