Titlebook: Web and Big Data; 6th International Jo Bohan Li,Lin Yue,Toshiyuki Amagasa Conference proceedings 2023 The Editor(s) (if applicable) and The

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书目名称Web and Big Data影响因子(影响力)




书目名称Web and Big Data影响因子(影响力)学科排名




书目名称Web and Big Data网络公开度




书目名称Web and Big Data网络公开度学科排名




书目名称Web and Big Data被引频次




书目名称Web and Big Data被引频次学科排名




书目名称Web and Big Data年度引用




书目名称Web and Big Data年度引用学科排名




书目名称Web and Big Data读者反馈




书目名称Web and Big Data读者反馈学科排名

Firefly

进取心

Computing Online Average Happiness Maximization Sets over Data Streamsb search. The average happiness maximization set problem also known as the average regret minimization set problem was recently proposed to fulfill this task and it can additionally satisfy users on average with the representative subset. In this paper, we study the online average happiness maximiza

在前面

MSP: Learned Query Performance Prediction Using MetaInfo and Structure of Plans query performance due to inaccurate cost estimates. In recent years, research shows that learning-based query performance prediction without actual execution has outperformed traditional models. However, existing learning-based models still have limitations in feature encoding and model design. To

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A Penetration Path Planning Algorithm for UAV Based on Laguerre Diagram world. It possesses many advantages, such as zero life risk, stronger combat capability ,and better adaptability to harsh combat environments than manual-controlled aircraft. The wide application of UAVs on the battlefield determines their important position in the war. With the rapid development o

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清醒

A Penetration Path Planning Algorithm for UAV Based on Laguerre Diagram world. It possesses many advantages, such as zero life risk, stronger combat capability ,and better adaptability to harsh combat environments than manual-controlled aircraft. The wide application of UAVs on the battlefield determines their important position in the war. With the rapid development o

匍匐前进

Graph-Based Sequential Interpolation Recommender for Cold-Start Usersations. However, in many scenarios, there are a large number of cold-start users with limited user-item interactions. To address this challenge, some studies utilize auxiliary information to infer users’ interests. But with the increasing awareness of personal privacy protection, it is difficult to

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