A probabilistic approach for modelling user preferences in recommender systems: a case study on IBM watson analytics.
Parisa LakCan KavakliogluMefta SadatMartin PetitclercGraham WillsAndriy V. MiranskyyAyse Basar BenerPublished in: CASCON (2017)
Keyphrases
- user preferences
- recommender systems
- collaborative filtering
- user behavior
- user profiles
- case study
- user behaviour
- user feedback
- learning analytics
- personalized recommendation
- user interests
- data mining
- recommendation systems
- information overload
- cold start problem
- user specific
- user model
- orders of magnitude
- content based filtering
- product recommendation
- data sparsity
- preference models
- preference model
- cold start
- user profiling
- implicit feedback
- information filtering
- business intelligence
- cloud computing