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Social Content Matching in MapReduce

Summary: MapReduce-based social content matching to maximize consumer relevance while regulating activity (avoid overload, ensure fair supplier exposure). GreedyMR and StackMR offer provable approximations; StackMR uses polylog MapReduce steps, enabling scalable performance on large datasets with validation on real-world social-media data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10275
Venue
VLDB
Year
2011
Pagerank
0.00010208945
Overall Rank
1,886 | 86.89%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
644 Densest Subgraph in Streaming and MapReduce 2012 VLDB 0.00018748988
2,674 Minimal MapReduce Algorithms 2013 SIGMOD 8.3328645e-05
6,017 A Distributed Algorithm for Large-Scale Generalized Matching 2013 VLDB 5.2415551e-05
12,007 Show Me the Money: Dynamic Recommendations for Revenue Maximization 2014 VLDB 4.1945683e-05
12,064 Mobility and Social Networking: A Data Management Perspective 2013 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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