Machine Learning as a New Search Engine Interface: An Overview

IF 0.6 4区 工程技术 Q4 Engineering Nuclear Engineering International Pub Date : 2014-01-01 DOI:10.18034/ei.v2i2.539
Taposh Kumar Neogy, Harish Paruchuri
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引用次数: 18

Abstract

The essence of a web page is an inherently predisposed issue, one that is built on behaviors, interests, and intelligence. There are relatively a ton of reasons web pages are critical to the new world, as the matter cannot be overemphasized. The meteoric growth of the internet is one of the most potent factors making it hard for search engines to provide actionable results. With classified directories, search engines store web pages. To store these pages, some of the engines rely on the expertise of real people. Most of them are enabled and classified using automated means but the human factor is dominant in their success. From experimental results, we can deduce that the most effective and critical way to automate web pages for search engines is via the integration of machine learning.
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机器学习作为一种新的搜索引擎界面:概述
网页的本质是一个固有的预先处理的问题,一个建立在行为、兴趣和智力上的问题。网页对新世界至关重要的原因有很多,这一点怎么强调都不为过。互联网的飞速发展是使搜索引擎难以提供可操作结果的最有力因素之一。通过分类目录,搜索引擎可以存储网页。为了存储这些页面,一些引擎依赖于真人的专业知识。它们中的大多数都是使用自动化手段启用和分类的,但人为因素在它们的成功中占主导地位。从实验结果中,我们可以推断出,为搜索引擎实现网页自动化的最有效和最关键的方法是通过整合机器学习。
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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来源期刊
Nuclear Engineering International
Nuclear Engineering International 工程技术-核科学技术
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6-12 weeks
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