Title :
Recommender System for Crowdsourcing Platform Witology
Author :
Ignatov, Dmitry I. ; Kaminskaya, Alexandra ; Konstantinova, Natalia ; Konstantinov, Andrei
Author_Institution :
Sch. of Appl. Math. & Inf. Sci., Nat. Res. Univ. “Higher Sch. of Econ.”, Moscow, Russia
Abstract :
This paper discusses the recommender models and methods for crowd sourcing platforms. These models are based on modern methods of data analysis of object-attribute data, such as Formal Concept Analysis and biclustering. In particular, the paper is focused on the solution of two tasks - idea and antagonists recommendation - on the example of crowd sourcing platform Witology.
Keywords :
formal concept analysis; outsourcing; pattern clustering; recommender systems; Witology; biclustering; crowdsourcing platform; formal concept analysis; object-attribute data analysis; recommender system; Analytical models; Companies; Correlation; Crowdsourcing; Data analysis; Educational institutions; Recommender systems; Formal Concept Analysis; biclustering; crowdsourcing; recommender systems;
Conference_Titel :
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014 IEEE/WIC/ACM International Joint Conferences on
Conference_Location :
Warsaw
DOI :
10.1109/WI-IAT.2014.52
