Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale

Author:

Kersbergen Barrie1,Sprangers Olivier2,Schelter Sebastian3

Affiliation:

1. bol.com, Utrecht, Netherlands

2. AIRLab & University of Amsterdam, Amsterdam, Netherlands

3. University of Amsterdam, Amsterdam, Netherlands

Funder

Ahold Delhaize

Publisher

ACM

Reference50 articles.

1. 2021. Actix Web. https://actix.rs. 2021. Actix Web. https://actix.rs.

2. 2021. d-ary heap. https://docs.rs/dary_heap/0.3.0/dary_heap/. 2021. d-ary heap. https://docs.rs/dary_heap/0.3.0/dary_heap/.

3. 2021. Istio sidecars. https://istio.io/latest/docs/reference/config/networking/sidecar/. 2021. Istio sidecars. https://istio.io/latest/docs/reference/config/networking/sidecar/.

4. 2021. Kubernetes networking services. https://kubernetes.io/docs/concepts/services-networking/service/. 2021. Kubernetes networking services. https://kubernetes.io/docs/concepts/services-networking/service/.

5. 2021. Performance Comparison of Neural and Non-Neural Approaches to Session-based Recommendation - Additional Information. https://rn5l.github.io/session-rec/. 2021. Performance Comparison of Neural and Non-Neural Approaches to Session-based Recommendation - Additional Information. https://rn5l.github.io/session-rec/.

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