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Article
Twain-GCN: twain-syntax graph convolutional networks for aspect-based sentiment analysis
The goal of aspect-based sentiment analysis is to recognize the aspect information in the text and the corresponding sentiment polarity. A variety of robust methods, including attention mechanisms and convolut...
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Article
CFF: combining interactive features and user interest features for click-through rate prediction
Click-through rate is a central issue in ad recommendation and has recently received extensive research attention in academia and industry. Research shows that the accuracy of prediction results in CTR predict...
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Article
Prediction of SO2 Concentration Based on AR-LSTM Neural Network
Sulphur dioxide is one of the most common air pollutants, forming acid rain and other harmful substances in the atmosphere, which can further damage our ecosystem and cause respiratory diseases in humans. Ther...
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Article
An R-Transformer_BiLSTM Model Based on Attention for Multi-label Text Classification
Multi-label text classification task is one of the research hotspots in the field of natural language processing. However, most of the existing multi-label text classification models are only suitable for scen...
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Article
Open AccessSession interest model for CTR prediction based on self-attention mechanism
Click-through rate prediction, which aims to predict the probability of the user clicking on an item, is critical to online advertising. How to capture the user evolving interests from the user behavior sequen...
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Article
Research on CTR prediction based on stacked autoencoder
Click-through rate prediction is critical in internet advertising and affects web publisher’s profits and advertiser’s payment. In the CTR prediction, mining the interaction between features and extracting use...
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Article
Improved algorithm for parallel mining collaborative frequent itemsets in multiple data streams
With the rapid development of the World Wide Web technology, complex and diverse data present explosive growth, so frequent itemset mining plays an essential role. In view of the mining frequent itemsets in mu...
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Article
Content-aware point-of-interest recommendation based on convolutional neural network
Point-of-interest (POI) recommendation has become an important approach to help people discover attractive locations. But the extreme sparsity of the user-POI matrix creates a severe challenge. To address this...
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Article
The embedding of rings and meshes into RP(k) networks
This paper first investigates the topological properties of RP(k) networks. Then focusing on the embedding of rings and 2-D meshes into the RP(k) network, it is proved that the RP(k) network is a Hamiltonian g...
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Article
A practical interconnection network RP(k) and its routing algorithms
Based on Petersen graph, a new interconnection network, the RP(k) network, is developed and the properties of the RP(k) network are investigated. The diameter of the RP(k) network is [k/2] + 2 and its degree is 5...