Personalized Web Image Retrieval Based on User Interest Model

• 作者: Haiyan Chen Haiyi Zhang Zhaowen Qiu
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: USER INTEREST model PERSONALIZED INTEREST LEARNING web IMAGE RETRIEVAL
• 年，卷（期）: 2015,（1）
• 页码范围: 54-56
• 页数: 3页
• 分类号: C5

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.