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Showing results for Understanding and Predicting User Lifetime with Machine Learning in an Anonymous Location-Based Social Network.
In this work, we predict the user lifetime within the anonymous and location-based social network Jodel in the Kingdom of Saudi Arabia.
Mar 1, 2021 · Abstract:In this work, we predict the user lifetime within the anonymous and location-based social network Jodel in the Kingdom of Saudi ...
This work predicts the user lifetime within the anonymous and location-based social network Jodel in the Kingdom of Saudi Arabia for the first time and ...
Understanding & Predicting User Lifetime with Machine Learning in an Anonymous Location-Based Social Network. https://doi.org/10.1145/3442442.3451887.
Mar 31, 2023 · Understanding & Predict- ing User Lifetime with Machine Learning in an Anonymous Location-Based Social. Network. In Companion Proceedings of ...
Churn prediction models allow to understand player loyalty and to anticipate when they will stop playing a game. Thanks to these predictions, several ...
Jul 1, 2022 · Customers are increasingly utilizing location‐based services via mobile devices to engage with retail establishments.
In this paper, we aim to harness the power of big data to automatically infer users' demographics based on their daily mobile communication patterns. Our study ...
A new 360° framework to predict customer lifetime value for multi-category e-commerce companies using a multi-output deep neural network and explainable ...
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Machine learning can extract information and knowledge from data, and it usually yields more accurate predictions than human experts (Nagar & Malone, Citation ...