Neuro Fuzzy based user queries categorization
Shoeb Ahmed Khan, Priti A. Khodke, Amol P. Bhagat · 2015
With technological advancements the amount of information available in the internet is literally infinite. Gathering of relevant information from internet is a time consuming process. In order to give accurate results to the user, for their search queries, some assistance of the software is needed. Example of such systems is search engines, multi-agent engines, meta-search systems and information filtering systems. So to help user for getting relevant results from a large chunk of data the search engine requires certain information filtering systems which uses various technologies like multi agent, neuro fuzzy etc. This paper presents a fuzzy neural network based approach for query information filtering. The information filtering system has a simple interface for specifying user requests returned from the external search engines and then categorizing them into categories and sub-categories for giving relevant results to the user. The categorization results can be utilized for taking decisions related to service provision.