2026-03-07T11:45:18Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4419 2021-12-13T03:07:31Z 1582963302567:1597824273898 user-ucsy

Personalized Search via Cluster Sensitive Ranking Win, Lai Lai Web search has become amazingly powerful inits ability to discover and exploit nearly any kind ofinformation that comprises the web. However, aspowerful and large as current web search engine are ,stilled limited in their ability to always deliver keyservices to their users especially when there is aconsiderable number of user with different searchintentions and needs. In this paper, we study bothanalytically and empirically personalized searchemphasizing their retrieval aspects. We also proposean analytical model for personalized search unifyingfour critical of the problem namely link structure,document content, user queries and user preference. 2015-02-05 http://hdl.handle.net/20.500.12678/0000004419 https://meral.edu.mm/records/4419