UID:
almahu_9949641713002882
Format:
1 online resource (259 p.).
ISBN:
9781003804871
,
100380487X
,
9781003346326
,
1003346324
,
9781003804864
,
1003804861
Series Statement:
Advances in Computational Collective Intelligence Series
Content:
The book is a systematic discussion on the many areas employing crowdsourcing as an essential part of social innovation. It fosters theoretical, methodological, well-established and validated empirical work concerning social media and crowdsourcing. Additional focus is on experimental and applied topics.
Note:
Description based upon print version of record.
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6.2 A Structural Data-Assembly Model for Incident Detection
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Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1. Introduction to Crowdsourcing -- 1.1 Introduction -- 1.2 Major Types of Crowdsourcing Platforms -- 1.2.1 Crowdfunding as a Type of Crowdsourcing -- 1.2.2 Microtasking as a Type of Crowdsourcing -- 1.2.3 Open Innovation as a Type of Crowdsourcing -- 1.2.4 Creative Sense as a Type of Crowdsourcing -- 1.2.5 Crowd Testing as a Type of Crowdsourcing -- 1.2.6 Collaborative Knowledge as a Type of Crowdsourcing -- 1.3 The Good, Bad, and Ugly of Crowdsourcing -- 1.4 Conclusion -- References
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2. Crowdsourcing through a Digital Ecosystem: A Futuristic Tool of Remote Behavior Modification -- 2.1 Introduction -- 2.1.1 Definition -- 2.1.2 Crowdsourcing: Concept Note -- 2.2 Glance at a Primary Component of Crowdsourcing -- 2.3 Remote Behavior Regulation -- 2.4 Crowdsourcing and Behavior Modification -- 2.5 Case of Masked Strategy -- 2.6 Reverse Crowdsourcing (RC) and Behavior Modification -- 2.7 Social Media and Crowdsourcing -- 2.8 Futuristic Perspectives -- 2.8.1 Improved Predictive Accuracy -- 2.8.2 Improving Accuracy of Artificial Intelligence with Big Data
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2.9 Futuristic Applications -- 2.10 Conclusion -- References -- Internet Sources -- 3. Crowdsourcing Applications in Agriculture -- 3.1 Crowdsourcing Applications in the Agricultural Field and Farming Activities -- 3.2 Crowdsourcing of Data/Knowledge from Various Sensor Devices -- 3.2.1 Agricultural Land-Use/Land-Cover Data -- 3.2.2 Weather Information -- 3.2.3 Soil Data -- 3.2.4 Crop Phenology -- 3.2.5 Data Related to Diseases on Plants -- 3.2.6 Vegetation Yield Status -- 3.3 Recommendations for Data Quality Control
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3.4 Comparison of Agricultural Crowdsourcing at the Global Level and Indian Perspective -- References -- 4. Crowdsourcing Outline for Contemporary Aided Medicinal Backup Systems -- 4.1 Introduction -- 4.2 Literature Review -- 4.3 Mental Health Supportive Architecture -- 4.4 Crowdsourcing Systems -- 4.5 Neighbor-Backed Medicinal Crisis Structure -- 4.6 Conclusion and Future Scope -- References -- 5. Crowdsourcing-Based Recommendations in Travel and Tourism Market: A Review -- 5.1 Introduction -- 5.2 Tourism-Based Recommender System Using Crowdsourcing -- 5.2.1 Different Variants
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5.2.2 Tourism Recommendation Using Crowdsourcing -- 5.3 Different Steps of Proposed Approaches -- 5.3.1 Different Steps of the Recommendation Algorithm -- 5.3.2 Leveraging Crowdsourcing to Improve the Amenities and Services Provided by Hotels -- 5.4 Cross-Cultural Recommendation Using Crowdsourcing -- 5.5 Crowdsourcing-Based Streaming Data Processing for Better Travel -- 5.6 Crowdsourcing-Based Walking Routes -- 5.7 Conclusion -- References -- 6. A Comparison of Capability Measurement between Various Incident Handling and Reporting Schemas -- 6.1 Introduction
Additional Edition:
Print version: Chatterjee, Sujoy Social Media and Crowdsourcing Milton : Auerbach Publishers, Incorporated,c2023 ISBN 9781032386904
Language:
English
DOI:
10.1201/9781003346326
URL:
https://www.taylorfrancis.com/books/9781003346326
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