计算机与现代化 ›› 2013, Vol. 1 ›› Issue (9): 157-159,.doi: 10.3969/j.issn.1006-2475.2013.09.038
• 网络与通信 • 上一篇 下一篇
卓志宏
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ZHUO Zhi-hong
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摘要： 垂直搜索引擎为人们提供了这样的服务，它把专业的知识主题化，寻找与同一主题相关度高的信息。但目前的相关性判别算法并不能与网络信息的增长速度相协调，本文提出一种基于语义信息的主题相关性判别模型，实验表明，在此模型下，主题的相关性判别能力有显著提高，具有很强的实际应用价值。
关键词: 互联网, 垂直搜索引擎, 主题相关性判别, 语义信息
Abstract: Vertical search engine provides such services for people, which treats professional knowledge as topics and searches the information related highly to the same topic. The present topic relativity judging algorithms cannot match the speed of information growth. For the match, a topic relativity judging model based on semantic information is provided. The experiment result shows that the performance of the algorithm significantly improves the ability of judging topics, and this method is of great practical value.
Key words: Internet, vertical search engine, topic relativity judging, semantic information
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TP391
卓志宏. 一种基于语义信息的主题相关性判别模型[J]. 计算机与现代化, 2013, 1(9): 157-159,.
ZHUO Zhi-hong. A Topic Relativity Judging Model Based on Semantic Information[J]. Computer and Modernization, 2013, 1(9): 157-159,.
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链接本文: http://www.c-a-m.org.cn/CN/10.3969/j.issn.1006-2475.2013.09.038
http://www.c-a-m.org.cn/CN/Y2013/V1/I9/157
