Algorithm is key for software related work. We need algorithm for easy assessment and time complexity. Good implementation of memory needs better algorithms. Elegant algorithm is written for proper allocation of memory Various algorithms came to solve problem of data integrity . It is basic entity which makes programming better suited to computational needs.
Crawlers are modern way to implement search engine algorithm. Crawlers is a lucid way to document internet. There are hundred of thousands of pages across internet which needs to be indexed for better search results. Crawlers need a different proposition for indexing. When pages begins indexing crawlers begin to match variable with possible keywords. The indices and time complexity factor is gauged for optimisation. Google search engine is often referred a spider. It is a way to determine maximum throughput .
Page rank is a way to tell whether a page will be searched first. It depends on weights being assigned to every possible search metric . Page rank technique of search engine was pioneered by Larry Page. It is a technique which relies heavily on the intermittent pages being connected to relative pages and their ranks being affected by number of connections . It has social ramifications too. Not only page rank affects website rank but also aims to give good social index .
Search engines work in novel way to give best results. Page search begins at seed point. Then according to seed point it gives an inverted index where the data or keywords are mapped to pages. Another interesting way to define search engine is by indexing and serving. Indexing means to store the relevant searches into common databases and then retrieving it according to more complex queries.