Crowd Mining: a framework for mining the knowledge of web users

Research output: Contribution to conferencePaperpeer-review


Crowd Mining is concerned with identifying significant patterns in the knowledge of the crowd, capturing, e.g., habits and preferences, by posing internet users with targeted questions. To account for jointly processing the crowd answers and available knowledge bases, and for user interaction and optimization issues, crowd mining frameworks must employ complex reasoning, automatic crowd task generation and crowd member selection. In this talk I will present the unique challenges in the crowd mining setting, and describe our solution in the form of an end-to-end system.
Original languageEnglish
StatePublished - 2018
Event3rd Data Science Summit - Jerusalem, Israel
Duration: 1 Jan 20181 Jan 2018 (Website)


Conference3rd Data Science Summit
Internet address


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