Fast Personalized PageRank on MapReduce
Summary: Fast MapReduce Monte Carlo approach for all-nodes personalized PageRank via a single random walk of fixed length lambda from each node. It claims optimal MapReduce iterations, with superior I/O, and reports speedups versus prior methods on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bahman Bahmani (Microsoft; Stanford University)
- 2. Kaushik Chakrabarti (Microsoft)
- 3. Dong Xin (Google; Microsoft)
BibTeX Citation
@inproceedings{bahmani_sigmod11,
title = {{Fast Personalized PageRank on MapReduce}},
author = {Bahmani, Bahman and Chakrabarti, Kaushik and Xin, Dong},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989425},
url = {https://dl.acm.org/doi/10.1145/1989323.1989425},
year = {2011}
}
Incoming Citations (Sorted by Pagerank)
Showing 22 of 22 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0010686205 |
| 30 | SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets | 2008 | VLDB | 0.00051174276 |
| 72 | Map-Reduce-Merge: Simplified Relational Data Processing on Large Clusters | 2007 | SIGMOD | 0.00037695852 |
| 556 | Fast Incremental and Personalized PageRank | 2011 | VLDB | 0.00016564032 |
| 1,396 | Estimating PageRank on Graph Streams | 2008 | PODS | 0.00010921308 |
| 2,618 | Combating Web Spam with TrustRank | 2004 | VLDB | 8.3380047e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,396 | Estimating PageRank on Graph Streams | 2008 | PODS |
| 2 | 4,714 | Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme | 2023 | SIGMOD |
| 3 | 1,339 | Computing Personalized PageRank Quickly by Exploiting Graph Structures | 2014 | VLDB |
| 4 | 6,284 | Efficient Personalized PageRank Computation: A Spanning Forests Sampling Based Approach | 2022 | SIGMOD |
| 5 | 5,250 | Parallel Personalized PageRank on Dynamic Graphs | 2018 | VLDB |
| 6 | 2,362 | Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation | 2013 | VLDB |
| 7 | 3,315 | Distributed Algorithms on Exact Personalized PageRank | 2017 | SIGMOD |
| 8 | 3,892 | Massively Parallel Algorithms for Personalized PageRank | 2021 | VLDB |
| 9 | 8,062 | Efficient Personalized PageRank Computation: The Power of Variance-Reduced Monte Carlo Approaches | 2023 | SIGMOD |
| 10 | 556 | Fast Incremental and Personalized PageRank | 2011 | VLDB |