Users, user interfaces, and objects: Envision, a digital library
Journal of the American Society for Information Science
Designing Data-Intensive Web Applications
Designing Data-Intensive Web Applications
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Visual exploration of multivariate graphs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Process modeling in Web applications
ACM Transactions on Software Engineering and Methodology (TOSEM)
A survey of collaborative web search practices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Financial incentives and the "performance of crowds"
Proceedings of the ACM SIGKDD Workshop on Human Computation
How does search behavior change as search becomes more difficult?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Liquid query: multi-domain exploratory search on the web
Proceedings of the 19th international conference on World wide web
COSIT'09 Proceedings of the 9th international conference on Spatial information theory
CrowdSearch: exploiting crowds for accurate real-time image search on mobile phones
Proceedings of the 8th international conference on Mobile systems, applications, and services
Task search in a human computation market
Proceedings of the ACM SIGKDD Workshop on Human Computation
Soylent: a word processor with a crowd inside
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
WebRatio BPM: a tool for designing and deploying business processes on the web
ICWE'10 Proceedings of the 10th international conference on Web engineering
Crowdsourcing systems on the World-Wide Web
Communications of the ACM
Exploratory search in multi-domain information spaces with liquid query
Proceedings of the 20th international conference companion on World wide web
Turkomatic: automatic recursive task and workflow design for mechanical turk
CHI '11 Extended Abstracts on Human Factors in Computing Systems
CrowdForge: crowdsourcing complex work
CHI '11 Extended Abstracts on Human Factors in Computing Systems
CrowdDB: answering queries with crowdsourcing
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Proceedings of the VLDB Endowment
Chapter 2: next generation web search
Search Computing
Answering search queries with CrowdSearcher
Proceedings of the 21st international conference on World Wide Web
Pick-a-crowd: tell me what you like, and i'll tell you what to do
Proceedings of the 22nd international conference on World Wide Web
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In many settings, the human opinion provided by an expert or knowledgeable user can be more useful than factual information retrieved by a search engine. Search systems do not capture the subjective opinions and recommendations of friends, or fresh, online-provided information that require contextual or domain-specific expertise. Search results obtained from conventional search engines can be complemented by crowdsearch, an online interaction with crowds, selected among friends, experts, or people who are presently at a given location; an interplay between conventional and search-based queries can occur, so that the two search methods can support each other. In this paper, we use a model-driven approach for specifying and implementing a crowdsearch application; in particular we define two models: the "Query Task Model", representing the meta-model of the query that is submitted to the crowd and the associated answers; and the "User Interaction Model", showing how the user can interact with the query model to fulfil her needs. Our solution allows for a top-down design approach, from the crowd-search task design, down to the crowd answering system design. Our approach also grants automatic code generation, thus leading to quick prototyping of crowd-search applications.