Collection System and Recommendation of Academic Texts with OCR Functions

Abstract

Today the search for information is a complex task, requiring an investment of time to find one that interests us. But having defined areas of interest is possible to focus the search more in order to optimize time. The aim of this study is to recommend thesis-based areas of interest for the user. For this, building the user profile is required, and in order not to limit the recommendation is considered the recommendations of other users. Algorithm it is implemented based on content and other in the collaborative model for recommendations. As additional part, the application through OCR will allow you find the thesis.