Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms.
Mario ScriminaciAndreas LommatzschBenjamin KilleFrank HopfgartnerMartha A. LarsonDavide MalagoliAndrás SerényTill PlumbaumPublished in: RecSys Posters (2016)
Keyphrases
- multi dimensional
- learning algorithm
- data structure
- computational cost
- main contribution
- computational complexity
- optimization problems
- database
- conceptual framework
- orders of magnitude
- fusion framework
- recommendation algorithms
- recently developed
- combinatorial optimization
- benchmark datasets
- theoretical analysis
- worst case
- search space
- lower bound
- image processing
- machine learning