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View all- Zhang CHuang XAn JZou S(2024)Improving conversational recommender systems via multi-preference modelling and knowledge-enhancedKnowledge-Based Systems10.1016/j.knosys.2023.111361286:COnline publication date: 17-Apr-2024
In order to detect abnormal crowd gathering behavior, a method based on convolutional neural network is proposed. For individuals in the crowd, use the improved multi-scale convolutional neural network (MCNN) to predict and extract the head coordinate ...
Accurately and efficiently crowdsourcing complex, open-ended tasks can be difficult, as crowd participants tend to favor short, repetitive "microtasks". We study the crowdsourcing of large networks where the crowd provides the network topology via ...
Since its inception, crowdsourcing has been considered a black-box approach to solicit labor from a crowd of workers. Furthermore, the "crowd" has been viewed as a group of independent workers dispersed all over the world. Recent studies based on in-...
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