Can Matrix Factorization Improve the Accuracy of Recommendations Provided to Grey Sheep Users?.
Benjamin GrasArmelle BrunAnne BoyerPublished in: WEBIST (2017)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- recommendation quality
- cold start problem
- item recommendation
- recommendation algorithms
- data sparsity
- cold start
- recommendation systems
- user ratings
- low rank
- user profiles
- user preferences
- information overload
- rating prediction
- implicit feedback
- factor analysis
- negative matrix factorization
- factorization methods
- probabilistic matrix factorization
- nonnegative matrix factorization
- user interaction
- personalized ranking
- variational bayesian
- personalized recommendation
- user interests
- stochastic gradient descent
- user interface
- tensor factorization
- user generated content
- data matrix
- search engine
- convex optimization
- missing data
- prediction accuracy
- least squares
- social media
- face recognition