Research on an Agent-Based Intelligent Social Tagging Recommendation System
Title | Research on an Agent-Based Intelligent Social Tagging Recommendation System |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | An, S., Zhao, Z., Zhou, H. |
Conference Name | 2017 9th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) |
ISBN Number | 978-1-5386-3022-8 |
Keywords | Adaptation models, Agent technology, common preference group recommendation, common preference group recommendation strategy, Computer architecture, data mining, Data models, equilibrium selection, Filtering, Human Behavior, human factors, information retrieval, intelligent social tagging recommendation system, multi-agent systems, personalized recommendation, personalized recommendation strategy, pubcrawl, recommender systems, Resource management, Scalability, self-adaptive recommendation, self-adaptive recommendation strategy, Servers, Social Agents, social networking (online), social tagging recommendation, social tagging users, tagging, user interest mining |
Abstract | With the repaid growth of social tagging users, it becomes very important for social tagging systems how the required resources are recommended to users rapidly and accurately. Firstly, the architecture of an agent-based intelligent social tagging system is constructed using agent technology. Secondly, the design and implementation of user interest mining, personalized recommendation and common preference group recommendation are presented. Finally, a self-adaptive recommendation strategy for social tagging and its implementation are proposed based on the analysis to the shortcoming of the personalized recommendation strategy and the common preference group recommendation strategy. The self-adaptive recommendation strategy achieves equilibrium selection between efficiency and accuracy, so that it solves the contradiction between efficiency and accuracy in the personalized recommendation model and the common preference recommendation model. |
URL | https://ieeexplore.ieee.org/document/8047575 |
DOI | 10.1109/IHMSC.2017.17 |
Citation Key | an_research_2017 |
- personalized recommendation
- user interest mining
- tagging
- social tagging users
- social tagging recommendation
- social networking (online)
- Social Agents
- Servers
- self-adaptive recommendation strategy
- self-adaptive recommendation
- Scalability
- resource management
- recommender systems
- pubcrawl
- personalized recommendation strategy
- Adaptation models
- multi-agent systems
- intelligent social tagging recommendation system
- information retrieval
- Human Factors
- Human behavior
- Filtering
- equilibrium selection
- Data models
- Data mining
- computer architecture
- common preference group recommendation strategy
- common preference group recommendation
- Agent technology