Development and Evaluation of Clustering Techniques for Finding People
Mark David Dunlop · Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) · 2000
Typically in a large organisation much expertise and knowledge is held informally within employees' own memories. When employees leave an organisation many documented links that go through that person are broken and no mechanism is usually available to overcome these broken links. This matchmaking problem is related to the problem of finding potential work partners in a large and distributed organisation. This paper reports a comparative investigation into using standard information retrieval techniques to group employees together based on their web pages. This information can, hopefully, be subsequently used to redirect broken links to people who worked closely with a departed employee or used to highlight people, say in different departments, who work on similar topics. The paper reports the design and positive results of an experiment conducted at Ris National Laboratory comparing four different IR searching and clustering approaches using real users' we...