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Personalized Web Image Retrieval Based on User Interest Model

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摘要 The traditional search engines don’t consider that the users interest are different, and they don’t provide personalized retrieval service, so the retrieval efficiency is not high. In order to solve the problem, a method for personalized web image retrieval based on user interest model is proposed. Firstly, the formalized definition of user interest model is provided. Then the user interest model combines the methods of explicit tracking and implicit tracking to improve user’s interest information and provide personalized web image retrieval. Experimental results show that the user interest model can be successfully applied in web image retrieval.
作者 Zhaowen Qiu Haiyan Chen Haiyi Zhang
机构地区 Institute of Information and Computer Engineering Jodrey School of Computer Science
出处 《国际计算机前沿大会会议论文集》 2015年第1期54-56,共3页 International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）
关键词 USER INTEREST model PERSONALIZED INTEREST LEARNING web IMAGE RETRIEVAL
分类号 C5 [社会学]
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二级参考文献16

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国际计算机前沿大会会议论文集
2015年 第1期

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