Benchmarking Domain-Specific Expert Search Using Workshop Program Committees
Refereed Conference Meeting Proceeding
Traditionally, relevance assessments for expert search have been gathered through self-assessment or based on the opinions of co-workers. We introduce three benchmark datasets1 for expert search that use conference workshops for relevance assessment. Our data sets cover entire research domains as opposed to single institutions. In addition, they provide a larger number of topic-person associations and allow a more objective and fine-grained evaluation of expertise than existing data sets do. We present and discuss baseline results for a language modelling and a topic-centric approach to expert search. We find that the topic-centric approach achieves the best results on domain-specific datasets.
22nd ACM International Conference on Information and Knowledge Management (CIKM 2013), workshop on Computational Scientometrics: Theory and Applications
workshop on Computational Scientometrics: Theory and Applications, at the 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013)
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United States of America
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