Learning Aggregation Functions for Expert Search
Ronan Cummins, Lalmas Mounia, Colm O’Riordan · Frontiers in artificial intelligence and applications · 2010
Machine learning techniques are increasingly being applied to problems in the domain of information retrieval and text mining. In this paper we present an application of evolutionary computation to the area of expert search. Expert search in the context of enterprise information systems deals with the problem of finding and ranking candidate experts given an information need (query). A difficult problem in the area of expert search is finding relevant information given an information need and associating that information with a potential expert.