Search Results for author:
Found 7 papers, 3 papers with code
A Natural Language Processing and Deep Learning based Model for Automated Vehicle Diagnostics using Free-Text Customer Service Reports
In recent years, numerous studies have investigated data-driven approaches to improve the vehicle diagnostics process using available vehicle data.
ChOracle: A Unified Statistical Framework for Churn Prediction
In this approach which is more realistic in real world online services, at each time-step the model predicts the user return time instead of predicting a churn label.
Community detection using diffusion information
Community detection in social networks has become a popular topic of research during the last decade.
Recurrent Poisson Factorization for Temporal Recommendation
Poisson factorization is a probabilistic model of users and items for recommendation systems, where the so-called implicit consumer data is modeled by a factorized Poisson distribution.
Continuous-Time User Modeling in the Presence of Badges: A Probabilistic Approach
However, typical point process based models often considered the impact of peer influence and content on the user participation and neglected other factors.
HNP3: A Hierarchical Nonparametric Point Process for Modeling Content Diffusion over Social Media
These capabilities allow the proposed model to adapt its temporal and topical complexity according to the complexity of data, which makes it a suitable candidate for real world scenarios.
Predicting Anchor Links between Heterogeneous Social Networks
Once a user (called source user) of a social network (called source network) joins a new social network (called target network), a new inter-network link (called anchor link) is formed between the source and target networks.
Social and Information Networks Physics and Society
