Web search engine | Wikipedia audio article
Channel: wikipedia tts
Date: 2019-07-04

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Web_search_engine


00:01:03 1 History
00:11:03 2 Approach
00:17:47 3 Market share
00:18:09 3.1 Market share in February 2019
00:18:20 3.2 East Asia and Russia
00:19:07 3.3 Europe
00:19:25 4 Search engine bias
00:21:08 5 Customized results and filter bubbles
00:23:03 6 Christian, Islamic and Jewish search engines
00:24:38 7 Search engine submission



Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.

Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain

Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.

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Speaking Rate: 0.8815599719541674
Voice name: en-US-Wavenet-C


"I cannot teach anybody anything, I can only make them think."
- Socrates


SUMMARY
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A web search engine or Internet search engine is a software system that is designed to carry out web search (Internet search), which means to search the World Wide Web in a systematic way for particular information specified in a textual web search query. The search results are generally presented in a line of results, often referred to as search engine results pages (SERPs). The information may be a mix of links to web pages, images, videos, infographics, articles, research papers, and other types of files. Some search engines also mine data available in databases or open directories.  Unlike web directories, which are maintained only by human editors, search engines also maintain real-time information by running an algorithm on a web crawler.
Internet content that is not capable of being searched by a web search engine is generally described as the deep web.