Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks.
Chengyue JiangYinggong ZhaoShanbo ChuLibin ShenKewei TuPublished in: EMNLP (1) (2020)
Keyphrases
- regular expressions
- recurrent neural networks
- cold start
- recommender systems
- cold start problem
- collaborative filtering
- pattern matching
- data sparsity
- neural network
- query language
- prediction accuracy
- echo state networks
- feed forward
- tag recommendation
- data sparseness
- xml schema
- user ratings
- personalized recommendation
- matching algorithm
- user preferences
- implicit feedback
- regular path queries
- artificial neural networks
- query evaluation
- user interests
- database systems
- recommendation algorithms
- user behavior
- domain specific
- artificial intelligence