Publication Recommendation System for Scientific Community in Agriculture

Abstract

There exist several publication recommendation systems which recommend publications to researchers and academicians based on their area of interest. A publication recommendation system specifically meant for recommending the agricultural publications will help the agricultural researchers and academicians in getting recommendations in the form of new publications published in their area of interest/work. The developed system uses the keywords and title of the publications to find out the similarity between the newly added publication and all existing publications in the publication repository. The TF-IDF model and the Cosine similarity measure have been used for finding out the similarity using R statistical software. The recommendation of the new publication is sent to the authors of the five most similar publications through mail. The system has been tested using the data from KRISHI Publication and Data Inventory Repository. The agricultural publication recommendation system successfully sent publication alerts to the authors of most similar publications from the data. This system can help the agricultural researchers by recommending the newly published research to the authors of existing publications working in the similar area using an email alert. It will support the researchers to stay up-date with the latest work carried out in their area of interest.