Context based document searching using Apriori Association for Mobile Devices

Abstract

Now a day’s numbers of documents on Internet are increasing. Many traditional searching techniques may not return most accurate results in some cases. This can overcome by considering context of document i.e. content profile. In this paper we have proposed a system which tries to address this issue with novel method of content profiling. Proposed system is using Naïve Bayes text classifier and Apriori association rule to build content profile. This system accepts document from users and reply with set of similar documents based on context of document. Here we are considering document context of both input document and stored documents. This gives system where searching can also be done without using keywords.Content profile: Set of simple sentences that capture essence of document.