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International Journal of Product Development最新文献

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Personalised recommendation of smart home products based on convolution neural network 基于卷积神经网络的智能家居产品个性化推荐
Q4 Economics, Econometrics and Finance Pub Date : 2022-01-01 DOI: 10.1504/ijpd.2022.10050270
Jun Liu, Xiaoyuan Luo
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引用次数: 0
Real-time information sharing model of product supply chain based on Internet of Things 基于物联网的产品供应链实时信息共享模型
Q4 Economics, Econometrics and Finance Pub Date : 2022-01-01 DOI: 10.1504/ijpd.2022.10050274
Ji Chao, Y. Li, Yanrong Wang
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引用次数: 0
Study on spatial layout evaluation of game UI interface based on grey interval clustering 基于灰色区间聚类的游戏UI界面空间布局评价研究
Q4 Economics, Econometrics and Finance Pub Date : 2022-01-01 DOI: 10.1504/ijpd.2022.10050279
Zuhui You
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引用次数: 0
Product design difference perception model based on visual communication technology 基于视觉传达技术的产品设计差异感知模型
Q4 Economics, Econometrics and Finance Pub Date : 2022-01-01 DOI: 10.1504/ijpd.2022.10050271
Yinyin Wang
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引用次数: 0
An intermediate interpolation of VR glasses display animation based on hierarchical constraints 基于层次约束的VR眼镜显示动画中间插值
Q4 Economics, Econometrics and Finance Pub Date : 2022-01-01 DOI: 10.1504/ijpd.2022.10050286
Xu Zheng
{"title":"An intermediate interpolation of VR glasses display animation based on hierarchical constraints","authors":"Xu Zheng","doi":"10.1504/ijpd.2022.10050286","DOIUrl":"https://doi.org/10.1504/ijpd.2022.10050286","url":null,"abstract":"","PeriodicalId":14273,"journal":{"name":"International Journal of Product Development","volume":"116 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66806463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fingertip positioning and tracking method of intelligent moving bracelet based on improved Kalman filter 基于改进卡尔曼滤波的智能移动手环指尖定位与跟踪方法
Q4 Economics, Econometrics and Finance Pub Date : 2022-01-01 DOI: 10.1504/ijpd.2022.10050288
Honggang Zheng
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引用次数: 0
Evaluation method of smart bracelet health monitoring accuracy based on multi-level data fusion 基于多级数据融合的智能手环健康监测精度评估方法
Q4 Economics, Econometrics and Finance Pub Date : 2022-01-01 DOI: 10.1504/ijpd.2022.10050276
Yanfei Lv, Wei Ma
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引用次数: 0
Fast fusion method of virtual image of product shape based on progressive fill line algorithm 基于渐进式填充线算法的产品形状虚拟图像快速融合方法
Q4 Economics, Econometrics and Finance Pub Date : 2022-01-01 DOI: 10.1504/ijpd.2022.10050278
Yan Wang, Yang Luo
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引用次数: 0
Multi-objective optimisation method of human-computer interaction interface layout of music electronic products based on adaptive particle swarm optimisation 基于自适应粒子群优化的音乐电子产品人机交互界面布局多目标优化方法
Q4 Economics, Econometrics and Finance Pub Date : 2022-01-01 DOI: 10.1504/ijpd.2022.10050283
Gangling Liu
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引用次数: 0
A personalised recommendation algorithm of user preference products based on Bayesian network 基于贝叶斯网络的用户偏好产品个性化推荐算法
Q4 Economics, Econometrics and Finance Pub Date : 2021-06-30 DOI: 10.1504/ijpd.2021.10039210
Hongli Wan, Yuchen Li
In order to overcome the problems of low recommendation accuracy, coverage rate and user diversity index in current personalised recommendation algorithms for user preference products, a new personalised recommendation algorithm based on Bayesian network is proposed. The algorithm takes into account the changing rule of users' interest characteristics with time, and divides the friendly neighbour network. The tags that users are interested in are obtained by user tag information and network partition results, the user's preference for products is obtained by combining with Bayesian network, and personalised products are recommended for users according to the results of preference calculation. The simulation results show that the proposed algorithm can effectively increase the accuracy, coverage and diversity index of user preference products, and recommend the most satisfactory products for users.
针对当前针对用户偏好产品的个性化推荐算法推荐准确率低、覆盖率低、用户多样性指数低等问题,提出了一种基于贝叶斯网络的个性化推荐算法。该算法考虑了用户兴趣特征随时间的变化规律,对友好邻居网络进行了划分。通过用户标签信息和网络划分结果得到用户感兴趣的标签,结合贝叶斯网络得到用户对产品的偏好,并根据偏好计算结果向用户推荐个性化产品。仿真结果表明,该算法能有效提高用户偏好产品的准确性、覆盖率和多样性指数,为用户推荐最满意的产品。
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引用次数: 0
期刊
International Journal of Product Development
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