DocumentCode
3298633
Title
Notice of Retraction
Design and development on internet-based information filtering system
Author
Wang Chun hong ; Zhang Min
Author_Institution
Dept. of Inf. Technol., Yun cheng Univ., Yun Cheng, China
fYear
2010
fDate
25-27 June 2010
Firstpage
354
Lastpage
357
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper studies the current personalized information recommendation services, content-based filtering and collaborative filtering as the two basic methods for information filtering is widely used. Since there are two kinds of filtering are limited, design and implementation of these limitations, a new information filtering system. The information filtering system used is based on the combination of content and collaborative filtering methods. Experiments show that to overcome the pure content-based filtering system and the pure collaborative filtering systems inadequate to meet the needs of users.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper studies the current personalized information recommendation services, content-based filtering and collaborative filtering as the two basic methods for information filtering is widely used. Since there are two kinds of filtering are limited, design and implementation of these limitations, a new information filtering system. The information filtering system used is based on the combination of content and collaborative filtering methods. Experiments show that to overcome the pure content-based filtering system and the pure collaborative filtering systems inadequate to meet the needs of users.
Keywords
Internet; information filtering; recommender systems; Internet based information filtering system; collaborative filtering; content based filtering; personalized information recommendation services; Collaboration; Educational technology; Feedback; Information filtering; Information filters; Intelligent agent; Internet; Paper technology; Search engines; Web search; Personalized information filtering; collaborative filtering; component; content-based filtering;
fLanguage
English
Publisher
ieee
Conference_Titel
Educational and Network Technology (ICENT), 2010 International Conference on
Conference_Location
Qinhuangdao
Print_ISBN
978-1-4244-7660-2
Type
conf
DOI
10.1109/ICENT.2010.5532148
Filename
5532148
Link To Document