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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), DOAJ, Electronic Journals Library, Engineering & Technology Digital Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Editor-in-chief
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2013 Vol.1(4): 334-338 ISSN: 2301-3559
DOI: 10.7763/LNSE.2013.V1.72

Implicit Relevance Feedback for Content-Based Image Retrieval by Mining User Browsing Behaviors and Estimating Preference

Wei Dai, Wenbo Li, Zhipeng Mo, and Tianhao Zhao
Abstract—Nowadays, Content-Based Image Retrieval has been the mainstay of image retrieval both in fields of research and application. To attain optimal retrieval results, relevance feedback (RF) methods are incorporated into CBIR by taking user’s feedbacks into account. However, explicit RF methods rely heavily on active user engagement during search sessions, which is unrealistic in real applications. This paper presents an implicit RF method, Preference Estimation-based RF (PERF) for CBIR. PERF utilizes implicit user browsing histories to build a user preference model. The model will be refined iteratively and used to train a preference classifier for the user. In addition, an adaptive mechanism is adopted to realize the personalization of preference model. Our proposed method is tested and the experimental results reveal that PERF can achieve good retrieval precision with scarce explicit engagement from users.

Index Terms—CBIR, relevance feedback, implicit, browsing behaviors, preference model, adaptive mechanism.

Wei Dai, Wenbo Li, Zhipeng Mo, and Tianhao Zhao are with the Department of Computer Software Engineering, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, P.R.C. (e-mail: shindaveee@gmail.com, wenboli@tju.edu.cn, zhipengandsky@163.com, zhaotianhao168@sohu.com).

[PDF]

Cite: Wei Dai, Wenbo Li, Zhipeng Mo, and Tianhao Zhao, "Implicit Relevance Feedback for Content-Based Image Retrieval by Mining User Browsing Behaviors and Estimating Preference," Lecture Notes on Software Engineering vol. 1, no. 4, pp. 334-338, 2013.

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