Three Challenges in Building Industrial-Scale Recommender Systems.
Sebastian SchelterPublished in: ORSUM@RecSys (2020)
Keyphrases
- recommender systems
- collaborative filtering
- lessons learned
- real world
- matrix factorization
- key issues
- user preferences
- data sets
- industrial environment
- cold start problem
- user profiling
- application scenarios
- industrial applications
- case study
- information systems
- scale space
- information filtering
- information overload
- search engine
- open issues
- artificial intelligence
- database
- collaborative recommender systems