Demo Data from SIGIR 2026 / reviewers in the wild / expert
Martynas Buivys
dblp:183/0614
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1
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
interactive information retrieval |
0.2 | 1 | 2016 | InfoScout: An Interactive, Entity Centric, Person Search Tool · SIGIR 2016 |
Information retrieval › search engines › semantic search › entity retrieval
people search |
0.2 | 1 | 2016 | InfoScout: An Interactive, Entity Centric, Person Search Tool · SIGIR 2016 |
Information retrieval
search interfaces |
0.1 | 1 | 2016 | InfoScout: An Interactive, Entity Centric, Person Search Tool · SIGIR 2016 |
Methods — techniques the papers use, named apart from their topics
relevance feedback · 0.2re-ranking · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | InfoScout: An Interactive, Entity Centric, Person Search ToolabstractIndividuals living in highly networked societies publish a large amount of personal, and potentially sensitive, information online. Web investigators can exploit such information for a variety of purposes, such as in background vetting and fraud detection. However, such investigations require a large number of expensive man hours and human effort. This paper describes InfoScout, a search tool which is intended to reduce the time it takes to identify and gather subject centric information on the Web. InfoScout collects relevance feedback information from the investigator in order to re-rank search results, allowing the intended information to be discovered more quickly. Users may still direct their search as they see fit, issuing ad-hoc queries and filtering existing results by keywords. Design choices are informed by prior work and industry collaboration. Sean McKeown, Martynas Buivys, Leif Azzopardi |
SIGIR | 2 |