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Predicting Application Usage Based on Latent Contextual Information · Study

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ArticlePredicting Application Usage Based on Latent Contextual Information

Adir Solomon2021

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Articlegreen2021

Predicting Application Usage Based on Latent Contextual Information

Adir Solomon · Bracha Shapira · Lior Rokach

8 citations·0/0 files stored·Computer Communications

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Human Mobility and Location-Based Analysis Recommender Systems and Techniques Context-Aware Activity Recognition Systems

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References

2018DeepMove 2010Intentions to use social media in organizing and taking vacation trips 2018Deep Learning with Gated Recurrent Unit Networks for Financial Sequence Predictions 2018Smartphone App Usage Prediction Using Points of Interest 2019User profiling from their use of smartphone applications: A survey 2019Strategies and limitations in app usage and human mobility 2019Modeling Spatio-Temporal App Usage for a Large User Population 2021Analyzing movement predictability using human attributes and behavioral patterns

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2024Appformer: A novel framework for mobile app usage prediction leveraging progressive multi-modal data fusion and feature extraction

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Details

Year2021

Typearticle

Published2021-01-01

VenueComputer Communications

ISSN-L0140-3664

Languageen

Citations8

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

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doi10.1016/j.comcom.2022.06.005

openalex_workW4283069887

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