How do users interact with algorithm recommender systems? The interaction of users, algorithms, and performance.
Donghee ShinPublished in: Comput. Hum. Behav. (2020)
Keyphrases
- recommender systems
- recommendation algorithms
- times faster
- learning algorithm
- collaborative filtering
- user interaction
- worst case
- user profiles
- computational complexity
- computationally efficient
- significant improvement
- theoretical analysis
- computational cost
- np hard
- computational efficiency
- detection algorithm
- space complexity
- filtering algorithm
- end users
- single pass
- related algorithms
- algorithms require
- combinatorial optimization
- user modeling
- synthetic and real datasets
- collaborative filtering algorithms
- search algorithm
- segmentation algorithm
- classification algorithm
- maximum flow
- convergence rate
- benchmark problems
- user feedback
- user interface
- k means
- objective function
- optimal solution
- dynamic programming
- simulated annealing
- information overload
- particle swarm optimization
- memory requirements
- expectation maximization
- search space
- recommendation systems
- user profiling