Automating the assignment of submitted manuscripts to reviewers
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Just talk to me: a field study of expertise location
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Dynamic collaborator discovery in information intensive environments
ACM Computing Surveys (CSUR)
Sharing Expertise: Beyond Knowledge Management
Sharing Expertise: Beyond Knowledge Management
Combining evidence for automatic web session identification
Information Processing and Management: an International Journal - Issues of context in information retrieval
The link prediction problem for social networks
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Social matching: A framework and research agenda
ACM Transactions on Computer-Human Interaction (TOCHI)
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
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 modeling for matching papers with reviewers
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Inside the source selection process: Selection criteria for human information sources
Information Processing and Management: an International Journal
PeerChooser: visual interactive recommendation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Multi-aspect expertise matching for review assignment
Proceedings of the 17th ACM conference on Information and knowledge management
Formal Models for Expert Finding on DBLP Bibliography Data
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Expert recommender systems in practice: evaluating semi-automatic profile generation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Making sense of strangers' expertise from signals in digital artifacts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Exploratory Search
SmallBlue: Social Network Analysis for Expertise Search and Collective Intelligence
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Methods for Evaluating Interactive Information Retrieval Systems with Users
Foundations and Trends in Information Retrieval
Search User Interfaces
Contextual factors for finding similar experts
Journal of the American Society for Information Science and Technology
Discovering author impact: A PageRank perspective
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
CollabSeer: a search engine for collaboration discovery
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Evaluating the synergic effect of collaboration in information seeking
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
SaNDVis: visual social network analytics for the enterprise
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion
Asking the right person: supporting expertise selection in the enterprise
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Cross-domain collaboration recommendation
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Cognos: crowdsourcing search for topic experts in microblogs
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Multiple objective optimization in recommender systems
Proceedings of the sixth ACM conference on Recommender systems
TasteWeights: a visual interactive hybrid recommender system
Proceedings of the sixth ACM conference on Recommender systems
Social recommendation across multiple relational domains
Proceedings of the 21st ACM international conference on Information and knowledge management
LinkedVis: exploring social and semantic career recommendations
Proceedings of the 2013 international conference on Intelligent user interfaces
Coauthor prediction for junior researchers
SBP'13 Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Recommending program committee candidates for academic conferences
Proceedings of the 2013 workshop on Computational scientometrics: theory & applications
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People search is an active research topic in recent years. Related works includes expert finding, collaborator recommendation, link prediction and social matching. However, the diverse objectives and exploratory nature of those tasks make it difficult to develop a flexible method for people search that works for every task. In this project, we developed PeopleExplorer, an interactive people search system to support exploratory search tasks when looking for people. In the system, users could specify their task objectives by selecting and adjusting key criteria. Three criteria were considered: the content relevance, the candidate authoritativeness and the social similarity between the user and the candidates. This project represents a first attempt to add transparency to exploratory people search, and to give users full control over the search process. The system was evaluated through an experiment with 24 participants undertaking four different tasks. The results show that with comparable time and effort, users of our system performed significantly better in their people search tasks than those using the baseline system. Users of our system also exhibited many unique behaviors in query reformulation and candidate selection. We found that users' general perceptions about three criteria varied during different tasks, which confirms our assumptions regarding modeling task difference and user variance in people search systems.