Abstract-With the advent of Industrial Revolution, not only the choices in various fields increased but also the era of co mputer came into existence thereby revolutionizing the global market. People had numerous choices in front of them that often led to the confus ion about what product might actually fu lfill their requirements. So the need for having a system wh ich could facilitate the selection criteria and eradicate the dilemma of masses, was realized and ult imately recommender systems of present day world were introduced. So we can refer reco mmender systems as software tools that narrow down our choices and provide us with the most suitable suggestions as per our requirements. In this paper, we propose a novel recommender system i.e. RWARS (Research Work Area Reco mmender System) that will reco mmend research work area to a user based on his/her characteristics similar to those of other users. The characteristics considered here are hobbies, subjects of interests, programming skills and future objectives. The proposed system will use Cosine Similarity approach of Collaborative Filtering.
On the other hand, to better consider characteristics such as hobbies, topics of interest ... Sharma et al. REF propose an RS named Research Work Area Recommender System (RWARS) that suggests POIs based on the similarity calculation between users using the cosine similarity approach of collaborative filtering.
Guide Me: A Research Work Area Recommender System
International Journal of Intelligent Systems and Applications
Computer Science