Titlebook: Information Retrieval; 28th China Conferenc Yi Chang,Xiaofei Zhu Conference proceedings 2023 Springer Nature Switzerland AG 2023 artificial

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書目名稱Information Retrieval影響因子(影響力)




書目名稱Information Retrieval影響因子(影響力)學科排名




書目名稱Information Retrieval網(wǎng)絡公開度




書目名稱Information Retrieval網(wǎng)絡公開度學科排名




書目名稱Information Retrieval被引頻次




書目名稱Information Retrieval被引頻次學科排名




書目名稱Information Retrieval年度引用




書目名稱Information Retrieval年度引用學科排名




書目名稱Information Retrieval讀者反饋




書目名稱Information Retrieval讀者反饋學科排名

FER

,ID-Agnostic User Behavior Pre-training for?Sequential Recommendation,ser behavior sequences based on item IDs. However, this kind of approach highly relies on user-item interaction data and neglects the attribute- or characteristic-level correlations among similar items preferred by a user. In light of these issues, we propose ., which stands for .-.gnostic User Beha

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Pulmonary-Veins

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inconceivable

,InDNI: An Infection Time Independent Method for?Diffusion Network Inference,l role it plays in some real applications, such as rumor-spread forecasting and epidemic controlling. Most existing methods tackle the task with exact node infection time. However, collecting infection time information is time-consuming and labor-intensive, especially when information flows are huge

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Bravura

,A Learnable Graph Convolutional Neural Network Model for?Relation Extraction,ncies relevant to named entities. Recently, graph convolutional neural networks have shown great potential in supporting this task, wherein dependency trees are usually adopted to learn semantic dependencies between entities. However, the requirement of external toolkits to parse sentences poses a p

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