归纳构建搜索结果排序模型，提高文本信息检索的相关性

2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI:10.1109/DEXA.2015.70

V. Zosimov, V. Stepashko, O. Bulgakova

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引用次数: 12

摘要

本文描述了一种使用归纳式GMDH算法构建搜索引擎在互联网上交付排序模型的方法。该方法可以大大提高互联网上科技信息搜索的相关性，为筛选垃圾信息和商业信息提供了可能。描述了针对已知搜索引擎发现web资源排序模型的过程，并将其与所构建模型的有效性进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Inductive Building of Search Results Ranking Models to Enhance the Relevance of Text Information Retrieval

The article describes a method for constructing a model for ranking the search engine delivery on the Internet using inductive GMDH algorithms. The method makes it possible to enhance substantially the relevance of scientific and technical information search on the Internet provided to sift spam and the commercial information. The process of discovering the web resources ranking model is described for known search engines and comparing its effectiveness with the constructed model.

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来源期刊

2015 26th International Workshop on Database and Expert Systems Applications (DEXA)

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