Personalized Check-in Prediction Model Based on User’s Dissimilarity and Regression
To solve the problem that the user check-in prediction model is difficult to provide personalized check-in services, this paper proposes a novel hybrid model, called personalized check-in prediction model based on user's dissimilarity and regression (UDR). The UDR is mainly composed of two sub-...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8737940/ |