Notice of Violation of IEEE Publication Principles: A study of relevance feedback on retrieved documents in vector-space-modeled system

Notice of Violation of IEEE Publication Principles

"A Study of Relevance Feedback on Retrieved Documents in Vector-space-modeled System"
by Ruiling Zhang, Hongsheng Xu, Yanfei Li
in the Proceedings of the International Conference on Computer Science and Information Technology, August 2008, pp. 973-977

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper contains significant portions of original text from the paper cited below. The original text was copied with insufficient attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"A Study of Relevance Feedback on Retrieval Documents in a Vector-space-modeled System"
by Weiping Chang
in his doctoral dissertation, submitted to National Central University of Taiwan, July 2007


Relevance feedback is one of the techniques applied in a vector-space-modeled information retrieval system to enhance retrieval effectiveness. The feedback process usually has the user rate the documents retrieved as relevant or non-relevant. Most past studies apply the information of document relevance to the modification of the vector that is used to manifest the user's information interest. In this study, we have identified additional information obtained from relevance feedback that was not fully studied in the past from the rated relevant/non-relevant documents for application. The information pertains to is about the situations of term appearances in the relevant/non-relevant documents. We have developed a method together with an IR system to demonstrate the application of the information of term appearance situation. Experiments have also been conducted to study its effect. The experimental results preliminarily show that the information of the term appearance situation could be extracted and appropriately applied to enhance retrieval effectiveness.