关键词: 计算机应用, 网格, 用户行为, 资源检索, 相关反馈

Abstract: In service-oriented grid environment, there are a great amount of various resources described in many different ways. And the traditional methods of grid resource retrieval do not fit the more and more complex grid environment, thus, it is very important to develop a reasonable and effective method to suit future grid system. This paper proposes a novel resource retrieval based on the user behavior feedback. It analyzes the user behavior according to history records, adopts the relevance feedback technique to analyze the grid resources and establishes a correlation model for them according to resource access path, access frequency, access time and retrieve results. This method makes the grid resource retrieval results closer to user's subjective perception and reduces semantic mix and ambiguity caused by heterogeneous grid environment. The experiment results show it can achieve a better retrieval accuracy.

Key words: computer application, grid, user behavior, resource retrieval, relevance feedback