원문정보
초록
영어
Internet is a huge source of information. The growth of information and unstructured and semi structured nature of web information, cause some challenges for people to find their potential useful information for long-time needs. Hence, the implementation of automated tools selecting and evaluating information is necessary. Information filtering could be seen as a solution to this problem. It allows us to automatically filter out the unwanted content of the information. In this paper we first define the analytical architecture of the web information filtering system and second we suggest a systematic framework to classify web information filtering structures. We hope this proposed framework will lead to empirical and technical comparison of web information filtering structures and development of more efficient structures at future.
목차
1. Introduction
2. The Architecture of the Web Information Filtering Systems
2.1. Information repository
2.2. User Profile
2.3. Filtering / Matching Engine
2.4. User Interface
3. Associated Techniques In IF Systems Design
3.1. Traditional IF (IR techniques):
3.2. Linguistic and learning filtering techniques
3.3-Web Data Mining Techniques
3.4. Clustering techniques
3.5. Graph Base Techniques
4. Conclusion
Acknowledgements
References