most citedImproved AdaBoost for Virtual Reality Experience Prediction Based on Long Short-Term Memory Network

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IR2024

Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising

Chang Zhou, Yang Zhao, Yuelin Zou +4

This paper proposes new methods to enhance click-through rate (CTR) prediction models using the Deep Interest Network (DIN) model, specifically applied to the advertising system of…

cs.LG2024★ 2 cited

Improved AdaBoost for Virtual Reality Experience Prediction Based on Long Short-Term Memory Network

Wenhan Fan, Zhicheng Ding, Ruixin Huang +2

A classification prediction algorithm based on Long Short-Term Memory Network (LSTM) improved AdaBoost is used to predict virtual reality (VR) user experience. The dataset is rando…