An Analytic Model to Optimize Search Results Using Collaborative Searching Methods

摘要

In this paper, we present the idea of an ‘Analytic Search Engine Model’ that utilizes the regularly generated social media data for opinion formation. It combines the user ratings from different SNS platforms and analyzes them to form a collective opinion about a local business and ranks results in terms of this opinion formation, which ensures the reliability and quality of search results. This new mode of ranking web pages is termed as social rank, which is explained in this paper in details. It also gives the introduction to analytic search engine model, its architecture and the problems it may meet in future are presented.