Information scent is derived from the Information
Foraging theory in which user behavior in the
information environment is guided by information
scent. Information Need of the query sessions is
modeled using Information Scent and content of
clicked URLs and query sessions with similar
information need are clustered. The clusters which
closely approximate the information need of input
query are used to suggest queries with similar
information need for a given input query.