Titlebook: Computer Supported Cooperative Work and Social Computing; 17th CCF Conference, Yuqing Sun,Tun Lu,Bowen Du Conference proceedings 2023 The E

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https://doi.org/10.1007/978-981-99-2947-4 and the virtual formation-based merging method is verified in the full CAV scenario. Simulation results show that the proposed method can effectively reduce vehicle traffic delay and improve road throughput.

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The Praxis Dimension of Literary Criticism,ions is proposed for their information extraction. On the other hand, the enhancement matrix constructed using the extracted rich information efficiently optimizes the graph autoencoder to obtain a high-quality representation. The experimental results on real-world and synthetic networks verify the

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Computer Supported Cooperative Work and Social Computing17th CCF Conference,

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ScholarRec: A User Recommendation System for Academic Social Network old version and new version recommendation system. The experimental results show that the new version of the recommendation system outperform the old one in terms of recommendation accuracy and relevance. And the system performance also meet the practical application requirements.

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Video Rumor Classification Based on Multi-modal Theme and Keyframe Fusionheme and key-frame. It uses aggregation network to obtain the theme feature of video, attention network to obtain the key-frame feature, and fuses multi-modality by modal adjustment mechanism for short video rumor detection. Experimental results show that the F1 score of the proposed method on the s

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Association Rule Guided Web API Complementary Function Recommendation for Mashup Creation: An Explaid complementary function recommendation(ARCFR) system, which provides function recommendation and corresponding probability explanation. Our experiments show that ARCFR can recommend complementary function effectively, and we give two applicable scenarios to demonstrate the practical value of our me

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Globally Consistent Vertical Federated Graph Autoencoder for Privacy-Preserving Community Detectionent model among the coordinator and all participants to solve the Non-IID graph data problem. As well, an attribute blinding strategy based on security aggregation is developed to protect the network privacy of each participant without losing accuracy. Both real-world and artificial networks’ experi

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