AWESOME – A Data Warehouse-based System for Adaptive Website Recommendations
Summary: Proposes AWESOME, a data-warehouse based platform to capture and evaluate user feedback on recommendations. Enables adaptive closed-loop optimization by dynamically selecting top recommenders, using continuous feedback and ML-driven decision making. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Andreas Thor
- 2. Erhard Rahm
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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 |
|---|---|---|---|---|
| 4,308 | REFEREE: An open framework for practical testing of recommender systems using ResearchIndex | 2002 | VLDB | 6.2885419e-05 |
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