Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Proceedings of the 11th international conference on World Wide Web
Searching for experts on the Web: A review of contemporary expertise locator systems
ACM Transactions on Internet Technology (TOIT)
Investigating interactions of trust and interest similarity
Decision Support Systems
Expertise networks in online communities: structure and algorithms
Proceedings of the 16th international conference on World Wide Web
A survey of trust in computer science and the Semantic Web
Web Semantics: Science, Services and Agents on the 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
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Knowledge sharing and yahoo answers: everyone knows something
Proceedings of the 17th international conference on World Wide Web
Trust and nuanced profile similarity in online social networks
ACM Transactions on the Web (TWEB)
TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
Evolution of two-sided markets
Proceedings of the third ACM international conference on Web search and data mining
Inferring relevant social networks from interpersonal communication
Proceedings of the 19th international conference on World wide web
The anatomy of a large-scale social search engine
Proceedings of the 19th international conference on World wide web
Modeling and mining of dynamic trust in complex service-oriented systems
Information Systems
Dynamic context-sensitive PageRank for expertise mining
SocInfo'10 Proceedings of the Second international conference on Social informatics
Topic-sensitive probabilistic model for expert finding in question answer communities
Proceedings of the 21st ACM international conference on Information and knowledge management
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In recent years, the World Wide Web (WWW) has transformed to a gigantic social network where people interact and collaborate in diverse online communities. By using Web 2.0 tools, people contribute content and knowledge at a rapid pace. Knowledge-intensive social networks such as Q/A communities offer a great source of expertise for crowdsourcing applications. Companies desiring to outsource human tasks to the crowd, however, demand for certain guarantees such as quality that can be expected from returned tasks. We argue that the quality of crowd-sourced tasks greatly depends on incentives and the users' dynamically evolving expertise and interests. Here we propose expertise mining techniques that are applied in online social communities. Our approach recommends users by considering contextual properties of Q/A communities such as participation degree and topic-sensitive expertise. Furthermore, we discuss prediction mechanisms to estimate answering dynamics considering a person's interest and social preferences.