The Importance of Prior Probabilities for Entry Page Search
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
WWW '03 Proceedings of the 12th international conference on World Wide Web
How valuable is external link evidence when searching enterprise Webs?
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
Relevance weighting for query independent evidence
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Finding experts in community-based question-answering services
Proceedings of the 14th ACM international conference on Information and knowledge management
Finding experts and their eetails in e-mail corpora
Proceedings of the 15th international conference on World Wide Web
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
Voting for candidates: adapting data fusion techniques for an expert search task
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Hierarchical Language Models for Expert Finding in Enterprise Corpora
ICTAI '06 Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence
Expertise drift and query expansion in expert search
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Voting techniques for expert search
Knowledge and Information Systems
Probabilistic models for expert finding
ECIR'07 Proceedings of the 29th European conference on IR research
Using relevance feedback in expert search
ECIR'07 Proceedings of the 29th European conference on IR research
Combination of document priors in web information retrieval
ECIR'07 Proceedings of the 29th European conference on IR research
Expert search evaluation by supporting documents
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Terrier information retrieval platform
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Frequentist and bayesian approach to information retrieval
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Non-local evidence for expert finding
Proceedings of the 17th ACM conference on Information and knowledge management
A language modeling framework for expert finding
Information Processing and Management: an International Journal
A Vector Space Model for Ranking Entities and Its Application to Expert Search
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Telling experts from spammers: expertise ranking in folksonomies
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Expert finding in question-answering websites: a novel hybrid approach
Proceedings of the 2010 ACM Symposium on Applied Computing
Expert search evaluation by supporting documents
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
The influence of the document ranking in expert search
Information Processing and Management: an International Journal
Mimicking Web search engines for expert search
Information Processing and Management: an International Journal
A user-oriented model for expert finding
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
A deniable and efficient question and answer service over ad hoc social networks
Information Retrieval
Foundations and Trends in Information Retrieval
Information Processing and Management: an International Journal
Mining expertise and interests from social media
Proceedings of the 22nd international conference on World Wide Web
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In an Enterprise setting, an expert search system can assist users with their "expertise need" by suggesting people with relevant expertise to the topic of interest. These systems typically work by associating documentary evidence of expertise to each candidate expert, and then ranking the candidates by the extent to which the documents in their profile are about the query. There are three important factors that affect the retrieval performance of an expert search system - firstly, the selection of the candidate profiles (the documents associated with each candidate), secondly, how the topicality of the documents is measured, and thirdly how the evidence of expertise from the associated documents is combined. In this work, we investigate a new dimension to expert finding, namely whether some documents are better indicators of expertise than others in each candidate's profile. We apply five techniques to predict the quality documents in candidate profiles, which are likely to be good indicators of expertise. The techniques applied include the identification of possible candidate homepages, and of clustering the documents in each profile to determine the candidate's main areas of expertise. The proposed approaches are evaluated on three expert search task from recent TREC Enterprise tracks and provide conclusions.