يعرض 1 - 2 نتائج من 2 نتيجة بحث عن '"CCS CONCEPTS Information systems → Online advertising Recommender systems Language models Non-textual features Multi-modal inputs Pre-trained language model CTR prediction Uni-Attention"', وقت الاستعلام: 0.83s تنقيح النتائج
  1. 1
    مؤتمر
    BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction

    المؤلفون: Wang, Dong, Salamatian, Kavé, Xia, Yunqing, Deng, Weiwei, Zhang, Qi

    المساهمون: Microsoft Research Asia, Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )

    المصدر: KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ; https://hal.science/hal-04219746Test ; KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2023, Long Beach CA USA, France. pp.5039-5050, ⟨10.1145/3580305.3599780⟩

    مصطلحات موضوعية: CCS CONCEPTS Information systems → Online advertising Recommender systems Language models Non-textual features Multi-modal inputs Pre-trained language model CTR prediction Uni-Attention, CCS CONCEPTS, Information systems → Online advertising, Recommender systems, Language models Non-textual features, Multi-modal inputs, Pre-trained language model, CTR prediction, Uni-Attention, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

    جغرافية الموضوع: Long Beach CA USA, France

    العلاقة: hal-04219746; https://hal.science/hal-04219746Test; https://hal.science/hal-04219746/documentTest; https://hal.science/hal-04219746/file/3580305.3599780.pdfTest

    الإتاحة: https://doi.org/10.1145/3580305.3599780Test
    https://hal.science/hal-04219746Test
    https://hal.science/hal-04219746/documentTest
    https://hal.science/hal-04219746/file/3580305.3599780.pdfTest

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  2. 2
    مؤتمر
    BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction

    المؤلفون: Wang, Dong, Salamatian, Kavé, Xia, Yunqing, Deng, Weiwei, Zhang, Qi

    المساهمون: Microsoft Research Asia, Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )

    المصدر: KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ; https://hal.science/hal-04219746Test ; KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2023, Long Beach CA USA, France. pp.5039-5050, ⟨10.1145/3580305.3599780⟩

    مصطلحات موضوعية: CCS CONCEPTS Information systems → Online advertising Recommender systems Language models Non-textual features Multi-modal inputs Pre-trained language model CTR prediction Uni-Attention, CCS CONCEPTS, Information systems → Online advertising, Recommender systems, Language models Non-textual features, Multi-modal inputs, Pre-trained language model, CTR prediction, Uni-Attention, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

    جغرافية الموضوع: Long Beach CA USA, France

    العلاقة: hal-04219746; https://hal.science/hal-04219746Test; https://hal.science/hal-04219746/documentTest; https://hal.science/hal-04219746/file/3580305.3599780.pdfTest

    الإتاحة: https://doi.org/10.1145/3580305.3599780Test
    https://hal.science/hal-04219746Test
    https://hal.science/hal-04219746/documentTest
    https://hal.science/hal-04219746/file/3580305.3599780.pdfTest

    View record in BASE

    أضف إلى المفضلة
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