Summary of User Modeling and User Profiling: a Comprehensive Survey, by Erasmo Purificato (1) et al.
User Modeling and User Profiling: A Comprehensive Survey
by Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
First submitted to arxiv on: 15 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Human-Computer Interaction (cs.HC); Information Retrieval (cs.IR); Machine Learning (cs.LG); Social and Information Networks (cs.SI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper presents a comprehensive survey on the current state, evolution, and future directions of user modeling and profiling research. It provides a historical overview of how user modeling has developed from stereotype models to deep learning techniques. The authors propose a novel taxonomy that encompasses all active topics in this research area, including recent trends like implicit data collection, multi-behavior modeling, and graph data structures. The survey also addresses the need for privacy-preserving techniques, explainability, and fairness in user modeling approaches. Additionally, it explores the application of user modeling in various domains such as fake news detection, cybersecurity, and personalized education. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is all about how artificial intelligence (AI) helps us get what we want from computers and apps. Right now, AI is getting better at understanding people by looking at how they use these systems. To do this, it needs to create a good picture of who each person is, based on what they do online. This paper talks about the different ways scientists have tried to make these pictures, from simple ideas to more complex ones using machines that learn like humans. It also explains why we need to be careful with how we collect and use this information, so people stay private and safe. |
Keywords
* Artificial intelligence * Deep learning
