Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale
Summary: Serenade uses VMIS-kNN with a prebuilt index for session-based next-item prediction at scale, overcoming exponential session space. Production bol.com demonstrates ~1000 req/s and sub-7 ms 90th percentile latency across millions of items and 45M sessions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Barrie Kersbergen (bol.com)
- 2. Olivier Sprangers (University of Amsterdam)
- 3. Sebastian Schelter (University of Amsterdam)
BibTeX Citation
@inproceedings{kersbergen_sigmod22,
title = {{Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale}},
author = {Kersbergen, Barrie and Sprangers, Olivier and Schelter, Sebastian},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517901},
url = {https://dl.acm.org/doi/10.1145/3514221.3517901},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,477 | Cohesiveness-aware Hierarchical Compressed Index for Community Search on Attributed Graphs | 2025 | SIGMOD | 5.4170414e-05 |
| 9,881 | The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format | 2024 | SIGMOD | 5.2040783e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 103 | DuckDB: an Embeddable Analytical Database | 2019 | SIGMOD | 0.00034161428 |
| 455 | Differential dataflow | 2013 | CIDR | 0.00018133241 |
| 2,642 | CoHadoop: Flexible Data Placement and Its Exploitation in Hadoop | 2011 | VLDB | 8.3059948e-05 |
| 2,929 | StreamRec: A Real-Time Recommender System | 2011 | SIGMOD | 7.9525409e-05 |
| 4,529 | TencentRec: Real-time Stream Recommendation in Practice | 2015 | SIGMOD | 6.6446748e-05 |
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