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.
Original language | English |
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Title of host publication | SIGIR '16 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval |
Place of Publication | New York, NY, USA |
Pages | 1113-1116 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 7 Jul 2016 |
Externally published | Yes |
Keywords
- entity search
- web investigation
- professional search
- people searching
- open-source intelligence