Titlebook: Database Systems for Advanced Applications; 26th International C Christian S. Jensen,Ee-Peng Lim,Chih-Ya Shen Conference proceedings 2021 T

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书目名称Database Systems for Advanced Applications影响因子(影响力)




书目名称Database Systems for Advanced Applications影响因子(影响力)学科排名




书目名称Database Systems for Advanced Applications网络公开度




书目名称Database Systems for Advanced Applications网络公开度学科排名




书目名称Database Systems for Advanced Applications被引频次




书目名称Database Systems for Advanced Applications被引频次学科排名




书目名称Database Systems for Advanced Applications年度引用




书目名称Database Systems for Advanced Applications年度引用学科排名




书目名称Database Systems for Advanced Applications读者反馈




书目名称Database Systems for Advanced Applications读者反馈学科排名

单挑

https://doi.org/10.1007/978-1-4757-4854-3nes BPR loss with adaptive margin and similarity loss for the similarities learning. Extensive experiments on three benchmarks show that our model is consistently better than the latest state-of-the-art models.

Glutinous

豪华

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BYRE

BYRE

Mau Mau Inventions and Reinventionsention module, temporal textual information is brought in as a clue to dynamically select friends that are helpful for contextual purchase intentions as an implicit combination. We validate our proposed method on two large subsets of real-world local business dataset Yelp, and our method outperforms

Laconic

Mau Mau Inventions and Reinventionsmize their margin. This intense adversarial competition provides increasing learning difficulties and constantly pushes the boundaries of its performance. Extensive experiments on three real-world datasets demonstrate the superiority of our methods over some strong baselines and prove the effectiven

跟随

https://doi.org/10.1057/978-1-137-53913-7ve subsequence selection strategy to update model. Moreover, to improve the effectiveness and efficiency of online model training, we propose a novel negative sampling strategy based on GAN to generate the most informative negative samples and use Gumble-Softmax to overcome the gradient block proble

壮观的游行

The State and New Religious Movementsr, referred to as recurrent tree transformer, and utilize this new transformer to generate a unified user interest representation. The last fully connected layer is utilized to model the interaction between this unified representation and item embedding. Comprehensive experiments are conducted on tw