Personalized Paper Recommender System for Researchers

Abstract

Today, there is a huge research work going on personalized recommendation. Social network being more popular all over the word and emerged to fulfil the need of users in the different fields. Here we discuss on personalized recommendation of researchers who are working in different domain and related papers. We also show that how social network is useful to meet users need. From the perspective of the researchers, we can conclude that having more similar the research topics of researchers are, the stronger is their similarity in the preferences. In our procedure, we firstly extract keywords which are representing the researchers then after using tf values of the keyword measure similarity between researcher and documents. And base on this matter we defiantly define that if the researchers have similar research topics, the stronger is their context similarity in the preferences.