A Web Page De-duplication Algorithm Based on Data Clearing

Jian-ming Lin, Dong-sheng Liu, Shi-wen Gao, Wei Chen
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引用次数: 1

Abstract

Duplicated web pages responded by search engines not only waste valuable storage, but also aggravate burdens of users’ browse. Web page de-duplication can effectively improve the information retrieval. This paper proposes pretreatment of web pages to improve the effectiveness and efficiency of web page de-duplication based on feature code according to the principle of data clearing. This paper features that ranking feature code to reduce the comparison times of the system and space and time complexity. Experiments show that this method has a promising prospect in eliminating large-scale duplicated web pages.
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一种基于数据清除的网页重复数据删除算法
搜索引擎响应的重复网页不仅浪费了宝贵的存储空间,而且加重了用户的浏览负担。网页去重复可以有效地提高信息检索。本文根据数据清理的原理,提出了基于特征码的网页预处理,提高网页去重的有效性和效率。本文对特征代码进行特征排序,减少了系统的比较次数,降低了空间和时间复杂度。实验表明,该方法在消除大规模重复网页方面具有广阔的应用前景。
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