RecBench: Benchmarks for Evaluating Performance of Recommender System Architectures
Summary: Defines RecBench benchmarks for evaluating DBMS-based vs hand-built recommender architectures. Evaluates MultiLens vs RecStore on MovieLens 10M and Netflix 100M, showing hand-built excels in model-building and pure recommendations, while DBMS-based shines in filtered/hybrid tasks. (summarized by gpt-5-nano on Feb 09 2026)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10 | Benchmarking Database Systems: A Systematic Approach | 1983 | VLDB | 0.0012103754 |
| 54 | DISCOVER: Keyword Search in Relational Databases | 2002 | VLDB | 0.00066047203 |
| 470 | On Saying "Enough Already!" in SQL | 1997 | SIGMOD | 0.00022393068 |
| 928 | Requirements for Science Data Bases and SciDB | 2009 | CIDR | 0.00015247726 |
| 1,149 | A Comprehensive XQuery to SQL Translation using Dynamic Interval Encoding | 2003 | SIGMOD | 0.0001365931 |
| 1,965 | A Methodology for Database System Performance Evaluation | 1984 | SIGMOD | 9.918599e-05 |
| 2,069 | System RX: One Part Relational, One Part XML | 2005 | SIGMOD | 9.6329563e-05 |
| 2,979 | FlexRecs: Expressing and Combining Flexible Recommendations | 2009 | SIGMOD | 7.7844948e-05 |
| 4,533 | LegoDB: Customizing Relational Storage for XML Documents | 2002 | VLDB | 6.1063172e-05 |
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