Recommender System Based on Algorithm of Bicluster Analysis RecBi
This is an incremental domain-specific solution for Russian school graduates and the Higher School of Economics to assist in university faculty selection.
The authors tackled the problem of educational orientation for Russian school graduates by proposing two biclustering-based algorithms for a recommender system, one for when some preferences are known and another for when nothing is known, with the system intended for use by the Higher School of Economics.
In this paper we propose two new algorithms based on biclustering analysis, which can be used at the basis of a recommender system for educational orientation of Russian School graduates. The first algorithm was designed to help students make a choice between different university faculties when some of their preferences are known. The second algorithm was developed for the special situation when nothing is known about their preferences. The final version of this recommender system will be used by Higher School of Economics.