The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
Broad expertise retrieval in sparse data environments
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Proximity-based document representation for named entity retrieval
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A language modeling framework for expert finding
Information Processing and Management: an International Journal
Formal Models for Expert Finding on DBLP Bibliography Data
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Enhancing Expert Finding Using Organizational Hierarchies
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Finding a team of experts in social networks
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Co-authorship networks in the digital library research community
Information Processing and Management: an International Journal - Special issue: Infometrics
Associating people and 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
Learning models for ranking aggregates
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Modeling and exploiting heterogeneous bibliographic networks for expertise ranking
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Enhanced Models for Expertise Retrieval Using Community-Aware Strategies
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Foundations and Trends in Information Retrieval
Multi-aspect group formation using facility location analysis
Proceedings of the Seventeenth Australasian Document Computing Symposium
A joint classification method to integrate scientific and social networks
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Expert group formation using facility location analysis
Information Processing and Management: an International Journal
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Expert finding in bibliographic networks has received increased interests in recent years. This task concerns with finding relevant researchers for a given topic. Motivated by the observation that rarely do all coauthors contribute to a paper equally, in this paper, we propose a discriminative method to realize leading authors contributing in a scientific publication. Specifically, we cast the problem of expert finding in a bibliographic network to find leading experts in a research group, which is easier to solve. According to some observations, we recognize three feature groups that can discriminate relevant and irrelevant experts. Experimental results on a real dataset, and an automatically generated one that is gathered from Microsoft academic search show that the proposed model significantly improves the performance of expert finding in terms of all common Information Retrieval evaluation metrics.