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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书目名称Computer Supported Cooperative Work and Social Computing影响因子(影响力)




书目名称Computer Supported Cooperative Work and Social Computing影响因子(影响力)学科排名




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书目名称Computer Supported Cooperative Work and Social Computing网络公开度学科排名




书目名称Computer Supported Cooperative Work and Social Computing被引频次




书目名称Computer Supported Cooperative Work and Social Computing被引频次学科排名




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书目名称Computer Supported Cooperative Work and Social Computing年度引用学科排名




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书目名称Computer Supported Cooperative Work and Social Computing读者反馈学科排名

皮萨

VOK

Context-Aware Quaternion Embedding for Knowledge Graph Completionis a collection of factual triples, but most of them are incomplete. At present, some models use complex rotation to model triples, and obtain more effective results. However, such models generally use specific structures to learn the representation of entities or relationships, and do not make full

高歌

Dependency-Based Task Assignment in Spatial Crowdsourcing. Complex tasks account for an increasing proportion of task assignment demands, most of the previous researches on complex task assignment have ignored the dependency relationships between tasks, resulting in many invalid matches and wasting worker resources. A complex task can be assigned only aft

Incorruptible

ICKG: An I Ching Knowledge Graph Tool Revealing Ancient Wisdomprofound book of dialectical philosophy with a series of philosophical thoughts and intellectual wisdom. However, due to its rich and special knowledge, it is difficult for traditional methods to mine deeper knowledge. This article first gives a brief introduction to the I Ching. Then, according to

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Collaborative Analysis on Code Structure and Semanticsfunction call graph of code and use it to obtain the structure semantics with the graph auto-encoder. Then the function semantics are obtained with the names and definition of the used library functions and built-in classes in code. Finally, we integrate the structure and function semantics to colla

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陶瓷

An Adaptive Parameter DBSCAN Clustering and Reputation-Aware QoS Prediction Methodive filtering algorithms have been widely used in QoS prediction. As a group intelligence algorithm, it relies on a large amount of historical QoS data, so the data credibility should be ensured first. Previous work, attempts to identify outliers through clustering algorithms, however, historical Qo

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Scene Adaptive Persistent Target Tracking and Attack Method Based on Deep Reinforcement Learningrs because of their high degree of autonomy and flexibility. They can independently track and attack dynamic targets. However, traditional tracking attack algorithms are sensitive to the changes of the external environment, and does not have mobility and expansibility, while deep reinforcement learn