How does search behavior change as search becomes more difficult?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CrowdSearch: exploiting crowds for accurate real-time image search on mobile phones
Proceedings of the 8th international conference on Mobile systems, applications, and services
Crowdsourcing systems on the World-Wide Web
Communications of the ACM
CrowdDB: answering queries with crowdsourcing
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Answering search queries with CrowdSearcher
Proceedings of the 21st international conference on World Wide Web
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Retrieval and management of Web data is becoming a more and more complex problem, due to the amount of information to be dealt with, to the diversity of the information sources and of the data formats, and to the evolving expectations of users. In particular, some tasks such as quality assessment, opinion making, and sense extraction cannot be completely delegated to automatic procedures. More and more users are increasingly relying on social interaction to complete and validate the results of their online activities. For instance, scouting "interesting" results, or suggesting new, unexpected search directions in information seeking processes occurs in most times aside of the search systems and processes, possibly instrumented and mediated by a social network. In this paper we propose paradigm that embodies crowds and social network communities as first-class sources for the information management and extraction on the Web. Our approach aims at filling the gap between traditional Web systems (CMS, search engines and others), which operate upon world-wide information, with social systems, capable of interacting with real people, in real time, to capture their opinions, suggestions, and emotions by leveraging crowd sourcing practices and making them viable upon a social network. This enormously enriches the data manipulation experience for the user can be enormously enriched.