Personalizing search based on user search histories

Abstract — Various searches on the internet is done using personalized web search(PWS).But however, failures might be experienced when irrelevant results are returned that do not meet the requirements of the users. Such irrelevance is largely due to the enormous variety of users ’ contexts and backgrounds, as well as the ambiguity of texts. However, evidences show that user’s confidential information during search has known to be public due to proliferation of PWS. We propose a PWS framework called UPS that can adaptively generalize profiles by queries while respecting user specified privacy requirements