Estimating importance of implicit factors in e-commerce recommender systems.
Ladislav PeskaPeter VojtásPublished in: WIMS (2012)
Keyphrases
- recommender systems
- product recommendation
- collaborative filtering
- electronic commerce
- cold start problem
- factors affecting
- factors that influence
- matrix factorization
- user profiles
- user modeling
- relative importance
- latent factors
- factors that affect
- information overload
- information filtering
- data mining
- factors influencing
- accurate estimation
- recommendation algorithms
- key factors
- user preferences
- business processes
- user ratings
- search engine
- neural network