Image Based Hotels Recommendation via Latent Image Embedding

Student: Tseytlin Boris

Supervisor: Ilya Makarov

Educational Programme: Data Science (Master)

Year of Graduation: 2020

We approach the problem of hotels recommendation with deep metric learning. We overview the existing approaches and propose a modification to Contrastive loss called ContrastiveTriplet loss as well as two regularization techniques. We construct a robust pipeline for benchmarking metric learning models and perform experiments on Hotels50K and CUB200 datasets. The code for reproducing our experiments is available on Github: https://github.com/btseytlin/metric_benchmarks.

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