A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Analysis of anchor text for web search
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
Relevance weighting for query independent evidence
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
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
Proximity-based document representation for named entity retrieval
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
EntityRank: searching entities directly and holistically
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Relation discovery from web data for competency management
Web Intelligence and Agent Systems
Modeling document features for expert finding
Proceedings of the 17th ACM conference on Information and knowledge management
Probabilistic models for expert finding
ECIR'07 Proceedings of the 29th European conference on IR research
Modeling documents as mixtures of persons for expert finding
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
A PDD-Based searching approach for expert finding in intranet information management
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Aggregation Models for People Finding in Enterprise Corpora
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Integrating multiple document features in language models for expert finding
Knowledge and Information Systems
The influence of the document ranking in expert search
Information Processing and Management: an International Journal
Foundations and Trends in Information Retrieval
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Ad hoc retrieval returns a ranked list of documents in response to a search query, while expert finding returns a ranked list of people in response to an expertise request in the form of a search query, e.g., "information retrieval". In current state of the art expert finding approaches, ad hoc retrieval is a key component for locating documents relevant to the expertise request. While ad hoc retrieval has been well researched in information retrieval, no previous work has been carried out on the effects of document retrieval in expert finding. The main contribution of this paper is that we are the first to study the effect of document retrieval in expert finding via a background smoothing parameter in a language modeling approach and two document features, namely, anchor text and indegree. Our research gives insight into how to design an effective approach for both ad hoc retrieval and expert finding in enterprise environment. Our experiments on the TREC (Text REtrieval Conference) 2007 Enterprise Track CSIRO (Australian Commonwealth Scientific and Research Organization) dataset shows that background smoothing helps improve ad hoc retrieval but does not help or even hurt expert finding, anchor text helps expert finding but hurt ad hoc retrieval when weighted high, and indegree helps expert finding but does not help improve ad hoc retrieval significantly.