Abstract
Based on the research of vertical search engine and cross-language information retrieval, a crosslanguage vertical search engine design for e-commerce platform is proposed. It aims to solve the problem that it is difficult for Internet users to quickly, efficiently, and comprehensively search for valuable products, especially ethnic minority netizens. Cross-language in this article mainly refers to the conversion of Chinese, English, and Tibetan. Using dictionary-based query translation method to translate query words to achieve cross-language function. Improved Heritrix designed a web crawler information collection method. Using HtmlParser to achieve structured information extraction, and using Lucene to build an index and achieve retrieval.
Highlights
With the rapid development of science and technology, the Internet quickly enters every area of social life and plays a role that cannot be underestimated
Most of the vertical search engines are based on Chinese
2.2 System Function Requirements Analysis The cross-language vertical search engine of the ecommerce platform for featured agricultural products is an extension of the vertical search engine
Summary
With the rapid development of science and technology, the Internet quickly enters every area of social life and plays a role that cannot be underestimated. According to statistics from CNNIC, as of December 2017, online shopping users reached 533 million, and the search engine penetration rate was 82.8%. Most of the vertical search engines are based on Chinese. For ethnic minority peoples in ethnic areas, they do not have very perfect Chinese reading ability. When he was faced with a huge Chinese webpage in e-commerce, they couldn't retrieve the Chinese products they wanted. This type of user naturally generates a strong demand for crosslanguage search information
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