iKNiTO RES is a complex multi-language project which uses Artificial Inteligence, Natural Language Processing, and Deep Learning combined with a large volume of qualified data in order to come up with accurate recommendations. Researchers who require a better understanding of what is happening in their field, authors who may need help in bringing their papers to a higher standard, and to get advice on where to publish, decisions makers at all levels who need to see the bigger picture in their institutions, country or world to compare and make better decisions, owners of Big Data and National bodies in charge of research are invited to collaborate with us.

iKNiTO RES can show 2D and 3D graphical views of activities of an author. The graph is fully interactive and can be viewed from different angles and by various filters. Thus, giving a 360 degree view of a researcher’s activities and in a wider context.

iKNiTO RES uses Natural Language Processing (NLP) and Deep Learning. NLP forms the heart of our recommender. It works on language detection, text pre-processing, summarization and keyword extraction, document classification, and text similarity. However, what makes the recommender very unique is its Deep Learning process. It continuously tracks your published papers, your search activities, likes and bookmarks, and even your co-authors’ activities. As a result it is able to give very useful and credible recommendation which become more efficient as the recommender learns from your reactions.