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Appformer: A Novel Framework for Mobile App Usage Prediction Leveraging
  Progressive Multi-Modal Data Fusion and Feature Extraction

Appformer: A Novel Framework for Mobile App Usage Prediction Leveraging Progressive Multi-Modal Data Fusion and Feature Extraction

28 July 2024
Chuike Sun
Junzhou Chen
Yue Zhao
Hao Han
Ruihai Jing
Guang Tan
Di Wu
ArXivPDFHTML

Papers citing "Appformer: A Novel Framework for Mobile App Usage Prediction Leveraging Progressive Multi-Modal Data Fusion and Feature Extraction"

2 / 2 papers shown
Title
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
167
3,873
0
14 Dec 2020
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,244
0
16 Jan 2013
1