Recommender Systems, Ground Truth, and Preference Pollution.
Gediminas AdomaviciusJesse C. BockstedtShawn P. CurleyJingjing ZhangPublished in: AI Mag. (2022)
Keyphrases
- recommender systems
- ground truth
- user preferences
- collaborative filtering
- personal preferences
- preference learning
- ground truth data
- matrix factorization
- user profiling
- user modeling
- quantitative evaluation
- monitoring system
- information filtering
- high quality
- cold start
- information overload
- gold standard
- user behavior
- user profiles
- manually labeled
- recommendation quality
- qualitative preferences
- product recommendation
- cold start problem
- preference elicitation
- multi criteria
- data sparsity
- multiple criteria
- recommendation systems
- human subjects
- test images
- preference relations
- website
- user modelling
- multi attribute
- user similarity
- missing data
- trust aware