The Optimization of Network Text Filtering Model Based on the Hownet and Concept Expansion
| Autor: | Shiying Yu, Junren Ming |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Structure (mathematical logic)
User profile Process (engineering) business.industry Computer science Recommender system Machine learning computer.software_genre Expression (mathematics) Semantic network Collaborative filtering Artificial intelligence Data mining business computer Information filtering system |
| Zdroj: | 2011 Fourth International Conference on Business Intelligence and Financial Engineering. |
| DOI: | 10.1109/bife.2011.136 |
| Popis: | Network text filtering model can be based on the user's own needs , and can effectively solve the problem of information lost through the filtering mechanism to actively select the needed information. This paper does an analysis on network information filtering model structure. It is mainly to design a text information filtering model based on Hownet's semantic dictionary to solve the common problem of concept expression that restrict network text filtering model, and then focuses on the optimization process of the text information filtering model. At last, the model for the future development trend has been introduced with a view to clarify awareness of the model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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