Knowing who to listen to: Prioritizing experts from a diverse ensemble for attribute personalization.
Shrenik LadBernardino Romera-ParedesJulien P. C. ValentinPhilip H. S. TorrDevi ParikhPublished in: ICIP (2016)
Keyphrases
- neural network
- ensemble learning
- ensemble methods
- attribute values
- wide variety
- random forest
- recommender systems
- real world
- domain experts
- context aware
- learning algorithm
- association rules
- human experts
- feature selection
- software engineering
- user behavior
- base classifiers
- data mining
- user modeling
- requirements engineering
- user profiling
- multiple attributes
- expert finding