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Bradley, Keith
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Bradley, Keith
Official Name
Bradley, Keith
Research Output
Now showing 1 - 3 of 3
- PublicationPersonalised Retrieval for Online Recruitment Services(2000-04-05)
; ; Internet search technology is largely based on exact-match retrieval. Such systems rely on the user to provide an adequate description of their requirements. However, most users submit poorly specified queries, leading to imprecise search results. Furthermore, there is no facility for personalising searches to reflect implicit likes and dislikes of users. We describe two complementary solutions to these problems as implemented in CASPER, an intelligent online recruitment service. We describe an approach to personalised similarity-based retrieval, and a queryless collaborative filtering recommendation technique.1356 - Publication
230 - PublicationPassive Profiling and Collaborative Recommendation(1999-09)
; ; Online recruitment services have rapidly become one of the most popular types of application on the World-Wide Web. The award-winning JobFinder site ( www.jobfinder.ie) is good example. It allows users to browse and search a large database of current jobs from a variety of employment sectors. However, like many similar Internet applications JobFinder has a number of shortcomings, due mainly to its reliance on traditional database technology and client-pull information access models, which place the burden of navigation and search on the user. To address these shortcomings the CASPER (Case-based Agency: Skill Profiling & Electronic Recruitment) project seeks to investigate the role of Artificial Intelligence techniques such as Automated Collaborative Filtering (ACF) and Case-Based Reasoning (CBR) as a means of providing a more proactive, personalised and intelligent model of information access.266