A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Working Knowledge: How Organizations Manage What They Know
Working Knowledge: How Organizations Manage What They Know
Database Systems Concepts
Formal models for expert finding in enterprise corpora
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Hierarchical Language Models for Expert Finding in Enterprise Corpora
ICTAI '06 Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence
Non-local evidence for expert finding
Proceedings of the 17th ACM conference on Information and knowledge management
Routing Questions to the Right Users in Online Communities
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
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During the past decade, information retrieval techniques have been augmented in order to search for experts and not just documents. This is done by searching document collections for both query topics and associated experts. A typical approach assumes that expert candidates are authors of intranet documents, or that they engage in social writing activities on blogs or online forums. However, in many organizations, the actual experts, i.e., the people who work on problems in their day-to-day work, rarely engage in such writing activities. As an alternative, we turn to structured corporate data--transactions of working hours provided by an organization's ERP system--as a source of evidence for ranking experts. We design an expert finding system for such an enterprise and conclude that it is possible to utilize such transactional data, which is a result of required daily business processes, to provide a solid source of evidence for expert finding.