Computing User Similarity by Combining Item Ratings and Background Knowledge from Linked Open Data.
Wei XuZhuoming XuLifeng YePublished in: WISA (2018)
Keyphrases
- background knowledge
- user similarity
- linked open data
- collaborative filtering
- recommender systems
- pearson correlation coefficient
- linked data
- social networks
- collaborative recommendation
- recommendation systems
- collaborative filtering algorithms
- personalized recommendation
- domain knowledge
- user preferences
- logic programs
- metadata
- prior knowledge
- semantic web
- life sciences
- cold start problem
- semantic information
- labeled data
- knowledge base
- user ratings
- semantic technologies
- association rules
- domain theory
- matrix factorization
- user profiles
- search engine
- similarity measure
- active learning
- data sets
- machine learning