Notice of Violation of IEEE Publication PrinciplesLanguage Models for Web Object Retrieval

Notice of Violation of IEEE Publication Principles

"Language Models for Web Object Retrieval,"
by Jianfeng Zheng; Zaiqing Nie
in the Proceedings of the International Conference on New Trends in Information and Service Science, (NISS), June 2009, pp. 282-287

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 is a verbatim copy of the paper cited below. The lead author, Jianfeng Zheng, submitted the copied paper without the knowledge or permission of the coauthor, Zaiqing Nie.

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:

"Web Object Retrieval"
by Zaiqing Nie, Yunxiao Ma, Shuming Shi, Ji-Rong Wen, and Wei-Ying Ma
in the Proceedings of the 16th International World Wide Web Conference (WWW2007), May 2007, ACM

Document level information retrieval can unfortunately lead to highly inaccurate relevance ranking in answering object-oriented queries. A paradigm is proposed to enable searching at the object level. However, this reliability assumption is no longer valid in the object retrieval context when multiple copies of information about the same object typically exist. To resolve multiple copies inconsistent issue, we propose several language models for Web object retrieval, namely an unstructured object retrieval model, a structured object retrieval model, and a hybrid model with both structured and unstructured retrieval features. We test these models on a paper search engine and compare their performances. We conclude that the hybrid model is the superior by taking into account the extraction errors at varying levels.