English

Predicting Personalized Academic and Career Roads: First Steps Toward a Multi-Uses Recommender System

Computers and Society 2020-01-30 v1 Computation and Language Information Retrieval

Abstract

Nobody knows what one's do in the future and everyone will have had a different answer to the question : how do you see yourself in five years after your current job/diploma? In this paper we introduce concepts, large categories of fields of studies or job domains in order to represent the vision of the future of the user's trajectory. Then, we show how they can influence the prediction when proposing him a set of next steps to take.

Cite

@article{arxiv.2001.10613,
  title  = {Predicting Personalized Academic and Career Roads: First Steps Toward a Multi-Uses Recommender System},
  author = {Alexandre Nadjem and Juan-Manuel Torres-Moreno and Marc El-Bèze and Guillaume Marrel and Benoît Bonte},
  journal= {arXiv preprint arXiv:2001.10613},
  year   = {2020}
}

Comments

4 pages, 3 figures, 4 tables

R2 v1 2026-06-23T13:23:29.663Z