Performance comparison of various information retrieval models used in search engines

The process by which information is retrieved from the repositories is called as information retrieval. This process had been a manual process since many centuries but since the advent of computers since the past few decades, it has become automated. Certain models form the basis of information retrieval in automated systems and are categorized as conventional and unconventional. This is because the motive of information retrieval systems is not only to render information to the regular users of internet but also, help the novice users of internet to skim out the documents that they need. In our paper, we have suggested that the information retrieval models must contain some questions regarding the user intent as well so that the search engine is able to search the websites that may prove to be informative for the users. These questions may enable the system to find out the user intent because entering one word may give varied results based upon the various uses to which it is put so that refining of requirements may be helpful in yielding appropriate results.