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

Y. Amsterdamer

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

Y. Amsterdamer

Department of Computer Science

Research output: Contribution to conference › Paper › peer-review

Abstract

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 language	English
State	Published - 2018
Event	3rd Data Science Summit - Jerusalem, Israel Duration: 1 Jan 2018 → 1 Jan 2018 https://events.bizzabo.com/DSEU2017 (Website)

Conference

Conference	3rd Data Science Summit
Country/Territory	Israel
City	Jerusalem
Period	1/01/18 → 1/01/18
Internet address	https://events.bizzabo.com/DSEU2017 (Website)

Conference Invited
Amsterdamer, Y. (Invited speaker)
1 Jan 2018
Activity: Talk or presentation › Invited talk

Cite this

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abstract = "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.",

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T2 - 3rd Data Science Summit

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

Abstract

Conference

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Conference Invited

Cite this