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Proactive: Comprehensive access to job information

Lee, D and Brusilovsky, P (2012) Proactive: Comprehensive access to job information. Journal of Information Processing Systems, 8 (4). 721 - 738. ISSN 1976-913X

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The Internet has become an increasingly important source for finding the right employees, so more and more companies post their job openings on the Web. The large amount and dynamic nature of career recruiting information causes information overload problems for job seekers. To assist Internet users in searching for the right job, a range of research and commercial systems were developed over the past 10 years. Surprisingly, the majority of existing job search systems support just one, rarely two ways of information access. In contrast, our work focused on exploring a value of comprehensive access to job information in a single system (i.e., a system which supports multiple ways). We designed Proactive, a recommendation system providing comprehensive and personalized information access. To assist the varied needs of users, Proactive has four information retrieval methods - a navigable list of jobs, keyword-based search, implicit preference-based recommendations, and explicit preference-based recommendations. This paper introduces the Proactive and reports the results of a study focusing on the experimental evaluation of these methods. The goal of the study was to assess whether all of the methods are necessary for users to find relevant jobs and to what extent different methods can meet different users' information requirements. © 2012 KIPS.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Lee, Dhyl12@pitt.eduHYL12
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 1 December 2012
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Journal of Information Processing Systems
Volume: 8
Number: 4
Page Range: 721 - 738
DOI or Unique Handle: 10.3745/jips.2012.8.4.721
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 1976-913X
Date Deposited: 22 Jul 2013 17:38
Last Modified: 04 Feb 2019 15:58


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