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Found 5 papers, 0 papers with code
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems
We argue that recommendation on global and local graphs outperforms that on a single global graph or multiple local graphs.
COMET: Convolutional Dimension Interaction for Collaborative Filtering
In this paper, we propose a novel representation learning-based model called COMET (COnvolutional diMEnsion inTeraction), which simultaneously models the high-order interaction patterns among historical interactions and embedding dimensions.
Distributed Spectrum and Power Allocation for D2D-U Networks: A Scheme based on NN and Federated Learning
In this paper, a Device-to-Device communication on unlicensed bands (D2D-U) enabled network is studied.
Fairness
Federated Learning
Information Theory
Information Theory
Learning-based WiFi Traffic Load Estimation in NR-U Systems
An unsupervised Neural Network (NN) structure is applied to filter the detected transmission collision probability on the unlicensed spectrum, which enables the NR users to precisely rectify the measurement error and estimate the number of active WiFi users.
Information Theory Information Theory
Feature Shapley: A general framework to discovering useful feature interactions
A machine learning system is typically composed of model and data.
