explain different component of search engine

what is search engine?

A search engine is an information retrieval software program that discovers crawls, transform, and stores information for retrieval and presentation in response to user queries.

A search engine finds various website or web pages that are available on internet and gives related results according to search.

search engine is an internet based software program whose main task is collect a large amount of data or information about what is on the internet then categorize the data or information and then help user to find the required information from the categorized information.

there are most popular search engine is google, yahoo, Bing .

how do search engine work?

there are tasks done by every search engine 

1. crawling 

 Crawling is the first stage in which a search engine uses web crawlers to find, visit, and download the web pages on the WWW (World Wide Web). Crawling is performed by software robots, known as "spiders" or "crawlers." These robots are used to review the website content.

2. Indexing

Indexing is an online library of websites, which is used to sort, store, and organize the content that we found during the crawling. Once a page is indexed, it appears as a result of the most valuable and most relevant query.

3. Ranking and Retrieval

The ranking is the last stage of the search engine. It is used to provide a piece of content that will be the best answer based on the user's query. It displays the best content at the top rank of the website.

what are the component of search engine?

there are four component of search engine

                                   flowchart of search engine

  

1. Web Crawler

Web Crawler is also known as a search engine bot, web robot, or web spider. It plays an essential role in search engine optimization (SEO) strategy. It is mainly a software component that traverses on the web, then downloads and collects all the information over the Internet.

Note: Googlebot is the most popular web crawler.

There are the following web crawler features that can affect the search results -

• Included Pages
• Excluded Pages
• Document Types
• Frequency of Crawling

2. Database

The search engine database is a type of Non-relational database. It is the place where all the web information is stored. It has a large number of web resources. Some most popular search engine databases are Amazon Elastic Search Service and Splunk. There are the following two database variable features that can affect the search results: Size of the database The freshness of the database 3. Search Interfaces Search Interface is one of the most important components of Search Engine. It is an interface between the user and the database. It basically helps users to search for queries using the database. There are the following features Search Interfaces that affect the search results - Operators Phrase Searching Truncation 4. Ranking Algorithms The ranking algorithm is used by Google to rank web pages according to the Google search algorithm. There are the following ranking features that affect the search results - Location and frequency Link Analysis Clickthrough measurement Search Engine Processing There are following two major Search Engine processing functions - 1. Indexing process Indexing is the process of building a structure that enables searching. Indexing process contains the following three blocks - i. Text acquisition It is used to identify and store documents for indexing. ii. Text transformation It is the process of transform documents into index or features. iii. Index creation Index creation takes the output from text transformation and creates the indexes or data searches that enable fast searching. 2. Query process The query is the process of producing the list of documents based on a user's search query. There are the following three tasks of the Query process - i. User interaction User interaction provides an interface between the users who search the content and the search engine. ii. Ranking The ranking is the core component of the search engine. It takes query data from the user interaction and generates a ranked list of data based on the retrieval model. iii. Evaluation Evaluation is used to measure and monitor the effectiveness and efficiency. The evaluation result helps us to improve the ranking of the search engine.