基于预定义字符串的网页搜索

M. Karar, K. Gulec, A. Carkacioglu
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摘要

在本文中,我们一直在开发一个系统,该系统基于预定义的字符串在给定的时间间隔内搜索Web页面的不同深度。讨论了开发过程中遇到的问题及解决方法。可以观察到,发现的网页数量与搜索的字符串数量成比例地增加,其中发现的页面质量并没有随着字符串数量的增加而增加。因此,有必要添加人工智能方法来评估所找到的网页的质量。因此,通过搜索Internet站点找到的Web页面可以进行排名,以便自动选择感兴趣的页面
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Searching Web Pages Based on Predefined Strings
In this paper, we have been developing a system that searches Web pages for various depths based on predefined strings within given time intervals. Problems encountered during development and their solutions are discussed. It is observed that the number of Web pages found increased proportionally to the number of strings searched, where the quality of the found pages did not increase as well as the number of strings increased. Consequently, it became a necessity to add artificial intelligence methods to evaluate the quality of Web pages found. Thus, Web pages found by searching the Internet sites can be ranked so that pages in interest are selected automatically
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