caa a22 4500 463251563 CHVBK 20180405153341.0 cr unu---uuuuu 170326e20070401xx s 000 0 eng 10.1007/s10791-006-9016-2 doi (NATIONALLICENCE)springer-10.1007/s10791-006-9016-2 An approach for the capture of context-dependent document relationships extracted from Bayesian analysis of users' interactions with information [Elektronische Daten] [D. Campbell, S. Culley, C. McMahon, F. Sellini] A number of technologies exist which enable the unobtrusive capture of computer interface interactions in the background of a user's working environment. The resulting data can be used in a variety of ways to model aspects of search activity and the general use of electronic documents in normal working routines. In this paper we present an approach for using captured data to identify relationships between documents used by an individual or group, representing their value in a given context—that may relate to specific information need or activity. The approach employs the use of a naïve Bayesian classifier to evaluate possible relationships that are derived implicitly from the data. It is intended that the relationships established be stored within an information retrieval (IR) system to aid in the retrieval of related documents where future users arrive at a similar context. In the evaluation of the approach over 70 hours of data from computer users in industrial and academic settings are collected to assess its overall feasibility. The results indicate that the approach provides a useful method for the establishment of identifiable relationships between documents based on the context of their usage, rather than their content. Springer Science+Business Media, LLC, 2006 Implicit indicators nationallicence Recommender systems nationallicence Context nationallicence Naïve Bayesian classification nationallicence Campbell D. Department of Mechanical Engineering, University of Bath, BA2 7AY, Bath, England aut Culley S. Department of Mechanical Engineering, University of Bath, BA2 7AY, Bath, England aut McMahon C. Department of Mechanical Engineering, University of Bath, BA2 7AY, Bath, England aut Sellini F. Airbus UK (Knowledge Management), BS99 7AR, Filton, Bristol, England aut Information Retrieval Kluwer Academic Publishers 10/2(2007-04-01), 115-141 1386-4564 10:2<115 2007 10 10791 https://doi.org/10.1007/s10791-006-9016-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10791-006-9016-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Campbell D. Department of Mechanical Engineering, University of Bath, BA2 7AY, Bath, England aut NATIONALLICENCE 700 1- Culley S. Department of Mechanical Engineering, University of Bath, BA2 7AY, Bath, England aut NATIONALLICENCE 700 1- McMahon C. Department of Mechanical Engineering, University of Bath, BA2 7AY, Bath, England aut NATIONALLICENCE 700 1- Sellini F. Airbus UK (Knowledge Management), BS99 7AR, Filton, Bristol, England aut NATIONALLICENCE 773 0- Information Retrieval Kluwer Academic Publishers 10/2(2007-04-01), 115-141 1386-4564 10:2<115 2007 10 10791 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer