Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems.
Kevin RoiteroBen CarteretteRishabh MehrotraMounia LalmasPublished in: WWW (Companion Volume) (2020)
Keyphrases
- recommender systems
- double auction
- network effects
- electronic markets
- market equilibrium
- collaborative filtering
- market share
- prediction markets
- market data
- financial markets
- market participants
- decision making
- digital goods
- online markets
- training process
- supervised learning
- consumer products
- stock price
- competitive market
- electricity markets
- recommendation quality
- neural network
- training set
- semi supervised
- training examples
- information goods
- spot market
- user preferences
- market conditions
- stock market
- pricing strategies
- trading agents
- financial data