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Similar pages deduplication algorithm parallelization Research and Implementation
Author: DingYiBin
Tutor: LiRuiXuan
School: Huazhong University of Science and Technology
Course: Applied Computer Technology
Keywords: Web collection Approximate repeat Mapping / Statute Fingerprint Hamming distance
CLC: TP393.092
Type: Master's thesis
Year: 2009
Downloads: 115
Quote: 0
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Abstract
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Because Web mirroring and network reproduced plagiarism, complete duplication and the approximate duplicate pages of data for the current search engine produced a series of problems: it not only increases the amount of storage data indexing web pages to the search engines and search services brought heavy burden , meanwhile , filled with duplicate content search engine search results also give users a poor user experience . So for the search engines , you need to use efficient detection algorithms to find similar pages and remove duplicate pages approximation , reduce web crawlers and search engines burden. Search engine technology has been rapid development in recent years , similar to the weight for Web site data collection is essential. For similar pages to heavy systems, the need to identify the topic of the page content blocks , such as advertising pages at the same time removing noise such content. Web text data according to the dictionary for segmentation algorithm based on Shingle pages feature vectors extracted using Simhash algorithm for computing represents the feature vector web pages feature fingerprints. Possess the characteristics of the fingerprint is that if two web pages with similar content , then it will have a smaller fingerprint Hamming distance . Moreover , the proposed algorithm is based on the traditional Shingle Mapping / parallel protocol model improvements and verified by experiment . Web page gives a practical framework and collection system in which similar site to re- design of the prototype system implementation. Similar pages deduplication prototype system has two operating modes : the first one for the online mode , in this mode , a single page of the same mass fingerprint fingerprint data for historical comparison ; second for parallel processing mode , this mode , a group of web pages of the same mass fingerprint fingerprint data for historical comparison, unlike the former , the massive historical fingerprint data is divided into specific data block is stored in a distributed computing platform, two batches of fingerprint data Hamming distance calculation process will use the mapping / protocol parallel programming model for processing. After experimental verification , the use of parallel processing prototype system effective solution to weight problems similar pages , and to achieve a higher efficiency and accuracy .
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