| CPC G06F 16/953 (2019.01) | 24 Claims |
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1. A method for retrieving information by a search engine from one or more databases through topical searching and arrangements, the method comprising:
registering, one or more users via a user computing device on a platform on receiving a plurality of user details from the one or more users to track actions performed, and allow saving of information by one or more users;
receiving, different types of topics, and different types of information through web documents or through one or more databases along with information ownership and generating and sending lead requirement details globally to at least one user or information owner for at least one topic;
creating, different structures of the topics with hierarchical levels along with various customizable components based on user requirements;
creating a graphical network of the topic levels based on predefined requirements;
arranging, the topics as fixed, new, variable or customized on a menu bar, for a topic search bar to retrieve information;
receiving, a query at the topic search bar from one or more users or Internet of Things, wherein the query comprises at least one static or dynamic input keyword;
creating, a vocabulary list and generating an inverted index based on the topic levels and the associated information;
extracting, plurality of tokens from the received query using lexical analysis, stemming, and stop word removal techniques;
matching, the plurality of tokens extracted from the received query with the inverted index of topic levels and associated information;
retrieving, the topics and information associated from one or more databases based on the matched topic levels;
segregating, the retrieved topics and associated information into distinct types required by one or more users or the Internet of Things, wherein said distinct types of information are arranged in a hierarchical structure starting from basic topic unit for displaying in ordered or non-ordered list formats;
ranking the retrieved topics or the associated information based on search engine optimization criteria, using feedback such as count, dislike count, numbers of postings and other social media activity; and
displaying the retrieved or topic level in terms of basic topic unit and associated information separately for the topic search along with advertisements on the platform.
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