@inproceedings{1e5ea502c92141fa9416d6d156f63b36,
title = "A heterogeneous graph-based recommendation simulator",
abstract = "Heterogeneous graph-based recommendation frameworks have flexibility in that they can incorporate various recommendation algorithms and various kinds of information to produce better results. In this demonstration, we present a heterogeneous graphbased recommendation simulator which enables participants to experience the flexibility of a heterogeneous graph-based recommendation method. With our system, participants can simulate various recommendation semantics by expressing the semantics via meaningful paths like User → like Movie → liked by Movie The simulator then returns the recommendation results on the fly based on the user-customized semantics using a fast Monte Carlo algorithm.",
keywords = "Graph algorithm, Graph-based recommendation",
author = "Yeonchan Ahn and Sungchan Park and Sangkeun Lee and Lee, {Sang Goo}",
year = "2013",
doi = "10.1145/2507157.2508219",
language = "English",
isbn = "9781450324090",
series = "RecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems",
pages = "471--472",
booktitle = "RecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems",
note = "7th ACM Conference on Recommender Systems, RecSys 2013 ; Conference date: 12-10-2013 Through 16-10-2013",
}