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Chen Fang Hengwei Zhang Jindong Wang Na Wang 《Multimedia Tools and Applications》2018,77(4):4355-4378
As one of the most widely used algorithms in recommendation field, collaborative filtering (CF) predicts the unknown rating of items based on similar neighbors. Although many CF-based recommendation methods have been proposed, there still be room for improvement. Firstly, the data sparsity problem still remains a big challenge for CF algorithms to find similar neighbors. Secondly, there are many redundant similar items in the recommendation list generated by traditional CF algorithms, which cannot meet the user wide interest. Therefore, we propose a diversified recommendation method combining topic model and random walk. A weighted random walk model is presented to find all direct and indirect similar neighbors on the sparse data, improving the accuracy of rating prediction. By taking both users’ behavior data and items’ lags into account, we give a diversity measurement method based on the topic distribution of items discovered by Linked-LDA model. Furthermore, a diversified ranking algorithm is developed to balance the accuracy and diversity of recommendation results. We compare our method with six other recommendation methods on a real-world dataset. Experimental results show that our method outperforms the other methods and achieves the best personalized recommendation effect. 相似文献
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基于模糊神经网络的液体火箭发动机振动检测 总被引:1,自引:0,他引:1
液体火箭发动机振动检测涉及部件振动数据的收集、振动特征的抽取与度量以及度量结果的决策。基于模糊神经网络提出了一种发动机振动故障检测的基本系统。这种技术的吸引力在于:神经网络采用可变模糊集代表发动机工作模式,自然地提供了反映故障程度的有用信息;神经网络的离线学习算法可以从训练样本中提取振动知识;神经网络的监测算法不仅能正确预报故障,同时也能对新的振动信息进行在线学习。实验研究结果表明:模糊神经网络可以成功地用于泵压式液体火箭发动机热试车的振动故障检测。 相似文献
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我省公路运输以煤为主要货物。60年代以前煤炭价格低廉,汽车运煤基本上按体积估算或凭经验估计,后来逐渐采用机械衡进行计量。随着科学进步,电子衡器又将取代机械衡器,目前应用的电子汽车衡有2种类型:整车计量的静态汽车衡和轴计量的动态汽车行。整车计量的准确度高,可达到0.1%,但造价高;轴计量的价格便宜,但准确度稍差,为0.5%。根据所运物料价值的不同,计量允差是不同的。我国对此尚无明确条文规定,但参照铁路运输煤炭计量以0.5%准确度的轨道衡为财务结算依据,因此使用0.5%准确度的汽车衡也是可以接受的。… 相似文献
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Xiaoyong Yue Si Li Hengwei Lin Chuanlai Xu Liguang Xu 《Advanced functional materials》2023,33(4):2210046
Stereoselective catalysis is common in living systems mediated by natural nanoenzymes. However, few artificial nanomaterials are developed for enantioselective and stereoselective catalysis. In this study, AgxCdyS-AgCd nanoparticles (NPs) with specific heterojunctions, strong chiral optical activities, and excellent enantioselective catalytic ability are constructed. Similar to photosensitive enzymes, AgxCdyS-AgCd NPs stabilized with l -/d -penicillamine (l -/d -AgxCdyS-AgCd NPs) can serve as photocatalysts, which show the highest catalytic efficiency toward the photodegradation of methyl blue compared with that of Ag2S and CdS NPs and lead to 50% enhancement of photoconversion efficiency of Cr6+ to Cr3+ as well. Moreover, attributed to the higher chiral preference between l -AgxCdyS-AgCd NPs and l -Tartaric acid (l -TA), d -AgxCdyS-AgCd NPs and d -Tartaric acid (d -TA), the photoreduction efficiency of Cr6+ to Cr3+ mediated by l -AgxCdyS-AgCd NPs with l -TA, and d -AgxCdyS-AgCd NPs with d -TA samples is enhanced as high as 30% compared with the samples of l -AgxCdyS-AgCd NPs with d -TA, and d -AgxCdyS-AgCd NPs with L-TA. This study establishes a versatile way to construct enantioselective inorganic catalysts for biocatalysis, biomedicine, and other applications. 相似文献