Evaluating the evaluations of code recommender systems: a reality check.
Sebastian ProkschSven AmannSarah NadiMira MeziniPublished in: ASE (2016)
Keyphrases
- recommender systems
- collaborative filtering
- cold start problem
- source code
- error detection
- matrix factorization
- user modeling
- user preferences
- user profiles
- cold start
- user feedback
- user profiling
- information filtering
- implicit feedback
- trust aware
- neural network
- user interests
- test collection
- case study
- information retrieval