Recsys'09 industrial keynote: top 10 lessons learned developing deploying and operating real-world recommender systems.
Francisco J. MartinPublished in: RecSys (2009)
Keyphrases
- lessons learned
- recommender systems
- real world
- case study
- future directions
- collaborative filtering
- participatory design
- synthetic data
- design science
- wide range
- data sets
- user preferences
- matrix factorization
- key issues
- information overload
- recommendation quality
- information filtering
- data mining
- user profiling
- industrial environment
- grounded theory
- recommendation algorithms
- information retrieval
- neural network