Earticle

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

Abstract
 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

키워드

저자

• Narges Sadat Khozooii [ Department of Computer Engineering AlZahra University Tehran, Iran ]
• Saman Haratizadeh [ Computer Engineering Department, The University of Tehran Faculty of New Sciences and Technologies, Tehran, Iran ]
• Mohammad Reza Keyvanpour [ Department of Computer Engineering AlZahra University Tehran, Iran ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605