A recommender system based on car pairwise comparisons on a mobile application using association rules.
Jei-Zheng WuHsiu-Wen LiuFang-Lin WuPublished in: ICIT (2016)
Keyphrases
- mobile applications
- pairwise comparisons
- recommender systems
- association rules
- preference learning
- collaborative filtering
- mobile devices
- data mining
- mobile phone
- pairwise comparison
- context aware
- knowledge discovery
- user experience
- data mining techniques
- user preferences
- end users
- itemsets
- frequent itemsets
- preference relations
- artificial intelligence
- classification rules
- frequent patterns
- pairwise
- gaussian processes
- mobile apps
- ordinal regression
- training set