Challenges of Modeling and Evaluating the Semantics of Technical Content Deployed in Recommendation Systems for Industry 4.0.
Jos LehmannMichael ShamiyehSven ZiemerPublished in: KEOD (2019)
Keyphrases
- recommendation systems
- web personalization
- collaborative filtering
- user preferences
- practical experiences
- search engine
- multimedia
- user modeling
- relevant content
- semantic information
- personalized services
- recommender systems
- challenges facing
- active learning
- web search
- collaborative filtering recommendation algorithm
- future trends
- personalized recommendation
- logic programming
- image retrieval
- metadata