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Blog retrieval key technology research

Author: LiBo
Tutor: WangXiaoLong
School: Harbin Institute of Technology
Course: Computer Science and Technology
Keywords: Search Engine Text Classification Blog Blog search
CLC: TP391.3
Type: Master's thesis
Year: 2009
Downloads: 79
Quote: 0
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Abstract


With the Internet towards the Web 2.0 era, the blog at breakneck speed into the social life , becoming one of the Internet infrastructure services . Blog rapid development of explosive growth in the number of blog , brings a wealth of information for the people but also difficult to find useful information brought trouble to make blog search and classification technology research value increasingly prominent. This article is in this context , the key technologies for the blog retrieval launched a study , the main research contents include the following aspects. First , this paper summarized and analyzed the classic search engine architecture model based on the combination of the characteristics of blog blog was designed for the needs of search engine retrieval system architecture . Second, the article discusses the gathering including web , web information extraction, Chinese word segmentation, indexing, retrieval and the user interface , including a series of search engine system main contents and characteristics according to the blog to be improved, optimized. For example: use the blog URL filtering rules for non- blog pages and web filtering non- blog post ; utilization blog domain to use more virtual mainframe technology features improved blog domain name resolution and DNS cache ; structural characteristics according to blog site to achieve efficient and accurate blog text, title and author information extraction ; for blog search positioning optimization Chinese word dictionaries , adding computers, software, network , electronic terminology IT field specialized dictionaries , but also for blog language features to increase the network popular new dictionary , improve the retrieval accuracy ; modify the source text retrieval toolkit cLucene, to better support Chinese treatment, complete inverted indexing and retrieval . Third , we propose the use of blog tags and text information fusion blog text classification algorithm . Because blog text content, style lacks standardization, plus the area classify small particle size for automatic text classification more difficult. Blog post author usually specify one or more tags , labels, largely summarizes the content of articles related to the blog text classification has an important role . Based on the blog text label this characteristic, we propose two label information and text information fusion blog text classification algorithm . Experimental results show that the label information to effectively improve the blog text classification results.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
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