Title
Real-time Recommendation of Streamed Data
Abstract
This tutorial addressed two trending topics in the field of recommender systems research, namely A/B testing and real-time recommendations of streamed data. Focusing on the news domain, participants learned how to benchmark the performance of stream-based recommendation algorithms in a live recommender system and in a simulated environment.
Year
DOI
Venue
2015
10.1145/2792838.2792839
Conference on Recommender Systems
Field
DocType
Citations 
Recommender system,Information retrieval,Computer science,A/B testing,Multimedia
Conference
3
PageRank 
References 
Authors
0.42
10
4
Name
Order
Citations
PageRank
Frank Hopfgartner153557.69
benjamin kille29213.56
Tobias Heintz330.42
Roberto Turrin485934.94