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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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0111 · Sep 201919922001200920172026
1 result for “D2D-LSTM”
D2D-LSTM based Prediction of the D2D Diffusion Path in Mobile Social Networkscs.SI

Proposes D2D-LSTM for predicting mobile social network content diffusion paths.

problem Lack of accurate content popularity prediction considering time and location in mobile social networks.
method D2D-LSTM, a deep neural network combining user social features and files features.
result Significantly improved prediction accuracy (up to 85.858%) and faster convergence (less than 100 steps).
D2D-LSTMmobile social networkscontent popularity predictiondeep learningdiffusion path
2019-09-28abs ↗pdf ↗