Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction
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Sep 10, 2021 · In this work, we propose a multi-granularity multi-mode network (MMNet) for item-level share rate prediction, which mainly consists of a fine- ...
Item-level share rate prediction (ISRP) aims to predict the future share rates for each item according to the meta information and historical share rate ...
Abstract: Item-level share rate prediction (ISRP) aims to predict the future share rates for each item according to the meta information and historical ...
Leyu Lin. List of references. Bai, S., Kolter, J.Z., Koltun, V.: An empirical evaluation of generic convolutional and recurrent networks for sequence modeling.
Item-level share rate prediction (ISRP) aims to predict the future share rates for each item according to the meta information and historical share.
MMNet: Multi-Granularity Multi-Mode Network for Item-Level Share Rate Prediction. The European Conference on Machine Learning and Principles and Practice of ...
In this work, we propose a multi-granularity multi-mode network (MMNet) for item-level share rate prediction, which mainly consists of a fine-granularity module ...
MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction -- 1 Introduction -- 2 Related Works -- 3 Preliminary -- 4 Methodology ...
MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction. ... Coauthor network. maximize. Note that this feature is a work in progress ...
MMNet: Multi-Granularity Multi-Mode Network for Item-Level Share Rate Prediction. The European Conference on Machine Learning and Principles and Practice of ...