Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth
Proceedings of the 17th International Conference on Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Investigating the relationship between language model perplexity and IR precision-recall measures
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The Journal of Machine Learning Research
Finding experts in community-based question-answering services
Proceedings of the 14th ACM international conference on Information and knowledge management
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
Expertise networks in online communities: structure and algorithms
Proceedings of the 16th international conference on World Wide Web
Discovering authorities in question answer communities by using link analysis
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Multimodal question answering for mobile devices
Proceedings of the 13th international conference on Intelligent user interfaces
Finding question-answer pairs from online forums
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Identifying authoritative actors in question-answering forums: the case of Yahoo! answers
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Latent Link Analysis for Expert Finding in User-Interactive Question Answering Services
SKG '09 Proceedings of the 2009 Fifth International Conference on Semantics, Knowledge and Grid
Expert finding in question-answering websites: a novel hybrid approach
Proceedings of the 2010 ACM Symposium on Applied Computing
A mixture model for expert finding
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
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With the rapid development of online Knowledge Sharing Communities (KSCs), the problem of finding experts becomes increasingly important for knowledge propagation and putting crowd wisdom to work. A recent development trend of KSCs is to allow users to add text tags for annotating their posts, which are more accurate than traditional category information. However, how to leverage these user-generated tags for finding experts is still under-explored. To this end, in this paper, we develop a novel approach for finding experts in tag based KSCs by leveraging tag context and the semantic relationship between tags. Specifically, the extracted prior knowledge and user profiles are first used for enriching the query tags to infer tag context, which represents the user's latent information needs. Then, a topic model based approach is applied for capturing the semantic relationship between tags and then taking advantage of them for ranking user authority. We evaluate the proposed framework for expert finding on a large-scale real-world data set collected from a tag based Chinese commercial Q&A web site. Experimental results clearly show that the proposed method outperforms several baseline methods with a significant margin.