Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael A. S. Potts
dblp:36/7020 · also Michael Alan Sherred Potts
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2
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
2 papers |
Information retrieval · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval
query log analysis |
0.1 | 2 | 2007 | Information re-retrieval: repeat queries in Yahoo's logs · SIGIR 2007 History repeats itself: repeat queries in Yahoo's logs · SIGIR 2006 |
Information retrieval › interactive information retrieval › search tasks
re-finding |
0.1 | 2 | 2007 | Information re-retrieval: repeat queries in Yahoo's logs · SIGIR 2007 History repeats itself: repeat queries in Yahoo's logs · SIGIR 2006 |
Information retrieval › query log analysis
repeat query |
0.1 | 2 | 2007 | Information re-retrieval: repeat queries in Yahoo's logs · SIGIR 2007 History repeats itself: repeat queries in Yahoo's logs · SIGIR 2006 |
Information retrieval
user behavior |
0.1 | 2 | 2007 | Information re-retrieval: repeat queries in Yahoo's logs · SIGIR 2007 History repeats itself: repeat queries in Yahoo's logs · SIGIR 2006 |
Information retrieval
evaluation |
0.0 | 1 | 2007 | Information re-retrieval: repeat queries in Yahoo's logs · SIGIR 2007 |
Information retrieval
search engines |
0.0 | 1 | 2006 | History repeats itself: repeat queries in Yahoo's logs · SIGIR 2006 |
Methods — techniques the papers use, named apart from their topics
survey · 0.1query log analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Information re-retrieval: repeat queries in Yahoo's logsabstractPeople often repeat Web searches, both to find new information on topics they have previously explored and to re-find information they have seen in the past. The query associated with a repeat search may differ from the initial query but can nonetheless lead to clicks on the same results. This paper explores repeat search behavior through the analysis of a one-year Web query log of 114 anonymous users and a separate controlled survey of an additional 119 volunteers. Our study demonstrates that as many as 40% of all queries are re-finding queries. Re-finding appears to be an important behavior for search engines to explicitly support, and we explore how this can be done. We demonstrate that changes to search engine results can hinder re-finding, and provide a way to automatically detect repeat searches and predict repeat clicks. Jaime Teevan, Eytan Adar, Rosie Jones, Michael A. S. Potts |
SIGIR | 4 |
| 2006 | History repeats itself: repeat queries in Yahoo's logsabstractThanks to the ubiquity of the Internet search engine search box, users have come to depend on search engines both to find and re-find information. However, re-finding behavior has not been significantly addressed. Here we look at re-finding queries issued to the Yahoo! search engine by 114 users over a year. Jaime Teevan, Eytan Adar, Rosie Jones, Michael A. S. Potts |
SIGIR | 4 |