MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
Summary: MultiBiSage decomposes Pinterest’s heterogeneous interactions into multiple bipartite graphs, combining their signals without a new graph engine. Deployed across six graphs, it improves pin embeddings and engagement over PinSage. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Saket Gurukar (Ohio State University)
- 2. Nikil Pancha (Pinterest)
- 3. Andrew Zhai (Pinterest)
- 4. Eric Kim (Pinterest)
- 5. Samson Hu (Pinterest)
- 6. Srinivasan Parthasarathy (Ohio State University)
- 7. Charles Rosenberg (Pinterest)
- 8. Jure Leskovec (Stanford University)
BibTeX Citation
@article{gurukar_vldb23,
title = {{MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest}},
author = {Gurukar, Saket and Pancha, Nikil and Zhai, Andrew and Kim, Eric and Hu, Samson and Parthasarathy, Srinivasan and Rosenberg, Charles and Leskovec, Jure},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {4},
pages = {781--789},
doi = {10.14778/3574245.3574262},
url = {https://doi.org/10.14778/3574245.3574262},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,116 | RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search | 2024 | VLDB | 6.892012e-05 |
| 8,907 | Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models | 2025 | SIGMOD | 5.3483178e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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