Event sequence metric learning

19 Feb 2020Dmitrii BabaevIvan KireevNikita OvsovMariya IvanovaGleb GusevAlexander Tuzhilin

In this paper we consider a challenging problem of learning discriminative vector representations for event sequences generated by real-world users. Vector representations map behavioral client raw data to the low-dimensional fixed-length vectors in the latent space... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.