FCA-Based Recommender Models and Data Analysis for Crowdsourcing Platform Witology
This paper considers a recommender part of the data anal- ysis system for the collaborative platform Witology. It was developed by the joint research team of the National Research University Higher School of Economics and the Witology company. This recommender sys- tem is able to recommend ideas, like-minded users and antagonists at the respective phases of a crowdsourcing project. All the recommender meth- ods were tested in the experiments with real datasets of the Witology company.