Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations.
Emanuel LacicDominik KowaldMarkus Reiter-HaasValentin SlawicekElisabeth LexPublished in: CoRR (2017)
Keyphrases
- high accuracy
- recommendation algorithms
- optimization problems
- intelligent tutoring systems
- user preferences
- computational cost
- learning styles
- learning process
- personalized recommendation
- optimization process
- vector space
- prediction accuracy
- error rate
- online learning
- optimization method
- global optimization
- tutoring system
- classification accuracy
- recommender systems
- computational complexity
- user ratings
- item recommendation