Personalized Item-of-Interest Recommendation on Storage Constrained Smartphone Based on Word Embedding Quantization.
Si-Ying HuangYung-Yu ChenHung-Yuan ChenLun-Chi ChenYao-Chung FanPublished in: PAKDD (3) (2018)
Keyphrases
- personalized recommendation
- recommender systems
- collaborative filtering
- user preferences
- personal preferences
- user interests
- recommendation systems
- co occurrence
- collaborative recommendation
- cold start problem
- item recommendation
- recommendation algorithms
- personalized services
- user feedback
- personalized information
- word sense disambiguation
- cold start
- user profiling
- data storage
- user specific
- mobile applications
- user modeling
- web personalization
- n gram
- user profiles
- product recommendation
- mobile devices
- watermark embedding
- tree structured vector quantization
- information filtering
- web users
- vector space
- keywords
- implicit feedback
- information overload
- matrix factorization
- user model
- news recommendation
- user ratings
- quantization error
- latent factor models
- context aware
- making recommendations