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

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书目名称Information Retrieval影响因子(影响力)




书目名称Information Retrieval影响因子(影响力)学科排名




书目名称Information Retrieval网络公开度




书目名称Information Retrieval网络公开度学科排名




书目名称Information Retrieval被引频次




书目名称Information Retrieval被引频次学科排名




书目名称Information Retrieval年度引用




书目名称Information Retrieval年度引用学科排名




书目名称Information Retrieval读者反馈




书目名称Information Retrieval读者反馈学科排名

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

抛弃的货物

Pulmonary-Veins

Frenetic

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

大酒杯

使迷醉