ScaR: Towards a Real-Time Recommender Framework Following the Microservices Architecture
Various recommender frameworks have been proposed, but still there is a lack of work that addresses important aspects like: immediately considering streaming data within the recommendation process; scalability of the recommender system; real-time recommendation based on different context dependent data. To bridge these gaps, we contribute with a novel recommender framework and show how different context dependent data sources can be supported within a real-world scenario.
Lacic Emanuel, Kowald Dominik, Traub Matthias, Lex Elisabeth
9th ACM Conference on Recommender Systems
real-time recommender framework, Apache Solr, social data,
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