Regularizing Matrix Factorization with Implicit User Preference Embeddings for Web API Recommendation.
Kenneth K. FletcherPublished in: SCC (2019)
Keyphrases
- matrix factorization
- user preferences
- collaborative filtering
- recommender systems
- web apis
- recommendation systems
- third party
- user behavior
- data sparsity
- user feedback
- low rank
- cold start problem
- user profiles
- item recommendation
- mashup
- personalized recommendation
- factorization methods
- cold start
- web services
- user interests
- nonnegative matrix factorization
- web applications
- product recommendation
- collaborative recommendation
- linked data
- information overload
- transfer learning
- latent factor models
- low dimensional
- latent factors
- implicit feedback
- web search
- collaborative filtering algorithms
- dimensionality reduction
- data mining
- high dimensional data
- user ratings
- link prediction