Abstract
The Connection Machine helps PricewaterhouseCoopers LLP (PwC) partners and staff to solve problems by connecting people to people. It allows information seekers to enter their question in free text, finds knowledgeable colleagues, forwards the question to them, obtains the answer and sends it back to the seeker. In the course of this interaction, the application unobtrusively learns and updates user profiles and thereby increases its routing accuracy. The Connection Machine combines features of expertise locators, adaptive case-based recommender systems and question answering applications. This document describes the core technology that supports the workflow, the user modeling and the retrieval technology of the Connection Machine.
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Göker, M.H., Thompson, C., Arajärvi, S., Hua, K. (2006). The PwC Connection Machine: An Adaptive Expertise Provider. In: Roth-Berghofer, T.R., Göker, M.H., Güvenir, H.A. (eds) Advances in Case-Based Reasoning. ECCBR 2006. Lecture Notes in Computer Science(), vol 4106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11805816_40
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DOI: https://doi.org/10.1007/11805816_40
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