Text Mining on Player Personality for Game Recommendation.
Hsin-Chang YangCathy S. LinZi-Rui HuangTsung-Hsing TsaiPublished in: MISNC (2017)
Keyphrases
- text mining
- game play
- repeated games
- two player games
- multi player
- imperfect information
- board game
- video games
- card game
- computer poker
- boolean games
- computer games
- game mechanics
- human players
- recommender systems
- game players
- game playing
- massively multiplayer online role playing games
- natural language processing
- text classification
- pure nash equilibria
- information extraction
- collaborative filtering
- evaluation function
- text documents
- educational games
- game theoretic
- recommendation systems
- serious games
- information retrieval
- machine learning
- textual documents
- data mining
- user preferences
- web mining
- nash equilibrium
- game theory
- online game
- knowledge discovery
- minimax search
- perfect information
- document clustering
- game design
- digital games
- biomedical literature
- role playing game
- text categorisation
- personality types
- learning processes
- incomplete information
- sentiment analysis
- personality traits
- opponent modeling
- learning experience
- optimal strategy
- game based learning