Titlebook: Computer Supported Cooperative Work and Social Computing; 18th CCF Conference, Yuqing Sun,Tun Lu,Bowen Du Conference proceedings 2024 The E

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The Contested Identities of Ulster Catholicsding public opinion on public emergencies and its evolution is necessary to deal with the public emergencies. In this paper, we focus on nine public health events related to COVID-19, and explore the evolution of public opinion on these events. Specifically, we first collect information of public op

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/c/image/233946.jpg

仲裁者

Computer Supported Cooperative Work and Social Computing978-981-99-9640-7Series ISSN 1865-0929 Series E-ISSN 1865-0937

BILL

Explicit Coordination Based Multi-agent Reinforcement Learning for Intelligent Traffic Signal Controetween intersections is a significant challenge. Reinforcement learning is widely used in the field of intelligent traffic signal control because it is good at dealing with sequence decision problems. The current reinforcement learning based approach makes phase decisions through coordinated coopera

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Lipoprotein(A)

Blockchain-Based Multi-factor K-Anonymity Group Location Privacy Protection Schemehave focused on the location privacy protection of individual users and ignored the location privacy of group users, who will work together to complete an LBS task through collaborative computing. A small number of existing researchers have applied k-anonymity techniques to group location privacy pr

medium

Context-Aware Automatic Splitting Method for Structured Complex Crowdsourcing Tasksuctured complex tasks like translation which are usually very intensive, one task need to be split first, otherwise workers may feel overwhelmed. However, if we randomly split one task into evenly sized sub tasks, context information may be lost, resulting in low quality data. Take translation as an

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OGLE

Corwdsourced Task Recommendation via Link Predictionthe challenges of overload, task recommendation is presented to deal with the above issue. The existing MCS task recommendation methods only consider the workers themselves, without taking the potential relationships between workers and workers and tasks, which may fail to grasp the long-term behavi

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