AI Information Assistant: An Integrated Solution for Automated Knowledge Aggregation and Personalized Recommendation
In today’s era, as AI increasingly permeates daily life, its application can greatly facilitate information collection. However, it also poses the challenge of information overload. This paper introduces an AI-based personalized information recommendation system - AI Information Assistant - which innovates knowledge management through automated collection, intelligent filtering, and structured archiving. By combining Natural Language Processing (NLP) with machine learning, the system enables automatic information acquisition, intelligent screening, and efficient archiving, along with real-time personalized recommendations. Compared to existing tools such as RSS readers or large language models, this system significantly enhances users’ efficiency in acquiring and managing information, providing convenient support for information collection.
Authors
- Zhenyu Ni (ORCID: https://orcid.org/0000-0002-5362-3936)
- Q Q Zhang
- Zhihui Zhang (ORCID: https://orcid.org/0000-0002-5056-8150)
- Jiapeng Li (ORCID: https://orcid.org/0000-0003-3016-5685)
- Zeng Fang (ORCID: https://orcid.org/0000-0002-7846-0336)
Institutions
- Guizhou University (CN)
- Beijing Technology and Business University (CN)
- Hebei University of Science and Technology (CN)
- Beijing Information Science & Technology University (CN)
Publication Details
- Published
- 2025-07-18
- DOI
- https://doi.org/10.1109/icbase66587.2025.11181301
- Primary Topic
- Customer churn and segmentation
- Type
- article
- Field-Weighted Citation Impact
- 0.00