Titlebook: Knowledge Science, Engineering and Management; 15th International C Gerard Memmi,Baijian Yang,Meikang Qiu Conference proceedings 2022 The E

UTTER

Mindfulness

Flustered

KIR: A Knowledge-Enhanced Interpretable Recommendation Methode Convolutional Neural Network (CNN) to extract users’ preferences. The experimental results prove that the model can improve the accuracy of the recommendation effect, and at the same time, it can better explain the reasons for the recommendation.

蜿蜒而流

可觸知

A Multi-scale Convolution and?Gated Recurrent Unit Based Network for?Limit Order Book Predictionket state. And it combines the features of both sides with the market state using the gating mechanism to represent features better. Experiments on the FI-2010 benchmark dataset and a bitcoin cryptocurrency dataset (BTC-2021) all show that our model can achieve state-of-the-art performance.

Lethargic

Improving Dialogue Generation with?Commonsense Knowledge Fusion and?Selectionts on English Reddit and Chinese Weibo dataset demonstrate that CKFS-DG outperforms the state-of-the-art neural generative methods in knowledge utilization, and CKFS-DG could reduce the influence of irrelevant knowledge to generate reasonable responses.

Panacea

considerable

抗生素

intercede

r 1988). As a consequence, increased norepinephrine levels can be detected in the serum of patients with congestive heart failure (Chidsey et al. 1962). Moreover, the increase of norepinephrine in the blood is closely related to the severity of heart failure and the prognosis of these patients (Cohn