Leveraging multiple behaviors and explicit preferences for job recommendation

Yosuke Saito, Kazunari Sugiyama

Abstract: Highlights•Job recommendation to leverage both multiple behaviors and explicit preferences.•Knowledge graph embedding to learn both users’ and jobs’ latent representations.•Multiple behavior overlap and preference consistency to refine the representations.•Experimental results show that our proposed method outperforms state-of-the-arts.•Our proposed method is robust against cold start scenarios.