Name
Abstract | ||
|---|---|---|
Individuals 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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2911451.2911468 | SIGIR |
Keywords | Field | DocType |
Web Investigation,Open-Source Intelligence,People Searching,Professional Search,Entity Search | Publication,Vetting,Data mining,World Wide Web,Search engine,Relevance feedback,Information retrieval,Computer science,Open-source intelligence,Exploit | Conference |
Citations | PageRank | References |
1 | 0.36 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sean McKeown | 1 | 7 | 4.01 |
| Martynas Buivys | 2 | 1 | 0.36 |
| Leif Azzopardi | 3 | 1919 | 133.10 |