Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 9, 2024International Journal of Web Information Systems

Click-through rate prediction model based on graph networks and feature squeeze-and-excitation mechanism

View Full Paper
Ask AI
Bookmark
Share

Authors

ZBZhongqin BiSSSusu SunWZWeina Zhang

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Bi et al. (2024) studied this question.

synapsesocial.com/papers/68e60e42b6db6435875a116ehttps://doi.org/10.1108/ijwis-07-2023-0110
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Unsupervised graph comparison learning-based click-through rate prediction model2024
  2. 2Target - Attention Network for Click - Through Rate Prediction2024
  3. 3EXPRESS: Let Clickstream Talk: A Graph Neural Network Approach to Sales Forecasting2026
  4. 4An Interest-Aware Graph based Recommendation Model for Unveiling User Preferences2024
  5. 5Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search2024