One of the significant features that are needed by the
search engines is the identification of the intent of the user
behind entering a particular query. This when identified can
solve the problem of decidability of the type of model to be
applied while particular information is being found out from
the repositories [6]. Jansen et al. [6] have made three
categories of the users’ intent: that which is informative,
which can be navigated and which is transactional. Also, they
have categorized these as the three categories of user intent.
The users’ intent was found out based upon his queries after
analyzing millions of queries from the transactional logs. The
queries can also be transactional, navigational and informative
based upon the intent of the users. We further infer that the
user’s intent decides whether the queries should be satisfied
with the use of the Boolean model, the probabilistic model or
the vector space model. This can be decided in information
retrieval systems where the search places an option before the
user if he wishes to get results based upon the exact match or
partial match.