As World Wide Web (WWW) based
Internet services become more popular, information overload also becomes a
pressing research problem. Difficulties with searching on the Internet get
worse as the amount of information that is available increases.
A new approach to build an
intelligent personal spider (agent), which is based on automatic textual
analysis of Internet documents, is proposed. These personal spiders are able to
dynamically and intelligently analyze the contents of the users' selected
homepages as the starting point to search for the most relevant homepages based
on the links and indexing.
It is straightforward to define an
evaluation function that is a mathematical formulation of the user request and
to define a steady state algorithm. Querying standard search engine performs
the creation of individuals.
- Introduction:
To engineer a search engine is a
challenging task. Search engines index tens to hundreds of millions of web
pages involving a comparable number of distinct terms. They answer tens of
millions of queries every day. Despite the importance of large-scale search
engines on the web, very little academic research has been done on them.
Furthermore, due to rapid advance in technology and web proliferation, creating
a web search engine today is very different from three years ago.
- What is a search engine?
A Web search engine is a tool
designed to search for information on the World Wide Web. The search results
are usually presented in a list and are commonly called hits. Internet search
engines are special sites on the Web that are designed to help people find
information stored on other sites. There are differences in the ways various
search engines work, but they all perform three basic tasks:
- They search the Internet -- or select pieces of the Internet -- based on important words.
- They keep an index of the words they find, and where they find them.
- They allow users to look for words or combinations of words found in that index.
A top search engine will index
hundreds of millions of pages, and respond to tens of millions of queries per
day.
Download Full Projects Report On Meta Search Engine
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