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International Journal of Autonomous and Adaptive Communications Systems最新文献

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Integrated radar radio: enabling technology for smart vehicle of smart cities 集成雷达无线电:智慧城市智能汽车使能技术
IF 0.4 Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijaacs.2023.10057908
B. Maji, Mithun Chakraborty, D. Kandar
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引用次数: 0
Integrated radar radio: enabling technology for smart vehicle of smart cities 集成雷达无线电:智慧城市智能汽车使能技术
IF 0.4 Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijaacs.2023.132505
Mithun Chakraborty, D. Kandar, B. Maji
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引用次数: 0
Research on e-business requirement information resource extraction method in network big data 网络大数据环境下电子商务需求信息资源提取方法研究
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijaacs.2023.131072
Yawen Li
For the challenge of the data sparsity of user-behaviour in the current e-business personalised recommendation system, an information resource extraction method for e-business requirements based on similar case analysis is proposed in this paper. A recommendation model for e-commerce users' requirements information resources is built. the method based on similar case analysis is introduced into the personalised recommendation of e-business under the background of the personalised recommendation of e-business considering the potential requirement. The feature attribute similarity and comprehensive similarity of customer registration information are calculated. Combining user preferences, e-business resources from users' requirements in the case set are extracted. Experimental results show that the proposed method has good effect on product coverage, product exposure rate, and feedback rate. It can overcome the behaviour sparsity of user-product, and extract the dark information in e-business requirement information resources, and overcome the long tail recommendation.
针对当前电子商务个性化推荐系统中用户行为数据稀疏的问题,提出了一种基于相似案例分析的电子商务需求信息资源提取方法。建立了电子商务用户需求信息资源推荐模型。在考虑潜在需求的电子商务个性化推荐的背景下,将基于相似案例分析的方法引入到电子商务个性化推荐中。计算了客户注册信息的特征属性相似度和综合相似度。结合用户偏好,从案例集中的用户需求中提取电子商务资源。实验结果表明,该方法在产品覆盖率、产品曝光率和反馈率方面均有较好的效果。它可以克服用户-产品的行为稀疏性,提取电子商务需求信息资源中的暗信息,克服长尾推荐。
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引用次数: 1
Collaborative variational factorisation machine for recommender system 推荐系统的协同变分分解机
IF 0.4 Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijaacs.2023.10034575
Jiwei Qin, Honglin Dai
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引用次数: 0
Design of DC measurement traceability system of charging pile by considering internet of things and fuzzy clustering 基于物联网和模糊聚类的充电桩直流测量溯源系统设计
IF 0.4 Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijaacs.2023.10052875
Di Zhao, Jing Liu
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引用次数: 0
Research On A New Multipath Transmission Optimization Algorithm For Multichannel Wireless Sensor Based On Optimized Clustering And Multi-Hop 基于优化聚类和多跳的多通道无线传感器多径传输优化算法研究
IF 0.4 Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijaacs.2023.10051765
Shaohui Zhong, Ting-dong Hu
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引用次数: 0
Personalized Recommendation Algorithm Of Network Resources Based On Collaborative Knowledge Map 基于协同知识地图的网络资源个性化推荐算法
IF 0.4 Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijaacs.2023.10054896
Shaohui Zhong, Xiaofei Liu
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引用次数: 0
Research on a new multipath transmission optimisation algorithm for multichannel wireless sensors based on optimised clustering and multi-hop 基于优化聚类和多跳的多通道无线传感器多径传输优化算法研究
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijaacs.2023.134101
Ting Hu, Shaohui Zhong
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引用次数: 0
Detection of false data attacks in sensor networks based on the APIT location algorithm 基于APIT定位算法的传感器网络假数据攻击检测
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijaacs.2023.134846
YuGuang Ye
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引用次数: 0
Dynamic key distribution method for wireless sensor networks based on exponential algorithm 基于指数算法的无线传感器网络动态密钥分配方法
IF 0.4 Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijaacs.2023.129619
Yun Zhao, Yong Xiao, Weibin Lin, Chao Cui, Di Xu
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引用次数: 0
期刊
International Journal of Autonomous and Adaptive Communications Systems
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