Aggregation Models for People Finding in Enterprise Corpora
Pages 180 - 191
Abstract
Finding authoritative people of a given field automatically within a large organization is quite helpful in various aspects, such as problem consulting and team building. In this paper, a novel aggregation model is proposed to solve the problem of finding authoritative people. Various kinds of related information in an enterprise repository is assembled to model the knowledge and skills of a candidate, for instance, such information may be the profile which gives a personal description of the candidate, documents related with the candidate, people with similar intellectual structure and so on. Then the candidate is modeled as a multinomial probability distribution over these collected evidence of expertise and candidates are ranked according to the probability of the topic generated by their models. Experimental results on TREC benchmark enterprise corpora demonstrate that our model outperforms current state-of-the-art approaches by a large margin.
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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 retrievalSearching an organization's document repositories for experts provides a cost effective solution for the task of expert finding. We present two general strategies to expert searching given a document collection which are formalized using generative ...
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Published: 17 November 2009
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