User perception of differences in recommender algorithms.
Michael D. EkstrandF. Maxwell HarperMartijn C. WillemsenJoseph A. KonstanPublished in: RecSys (2014)
Keyphrases
- theoretical analysis
- machine learning
- computer vision
- orders of magnitude
- recently developed
- data sets
- recommender systems
- optimization problems
- learning algorithm
- search engine
- computational complexity
- user interface
- user experience
- computational cost
- user profiles
- data mining algorithms
- computationally efficient
- human perception
- user queries
- computationally expensive
- convergence rate
- graph theory
- benchmark datasets
- user preferences
- collaborative filtering
- end users
- significant improvement
- data structure
- image segmentation
- website
- knowledge base