Abstract:
Web search has become amazingly powerful in
its ability to discover and exploit nearly any kind of
information that comprises the web. However, as
powerful and large as current web search engine are ,
stilled limited in their ability to always deliver key
services to their users especially when there is a
considerable number of user with different search
intentions and needs. In this paper, we study both
analytically and empirically personalized search
emphasizing their retrieval aspects. We also propose
an analytical model for personalized search unifying
four critical of the problem namely link structure,
document content, user queries and user preference.
