Synthetic Sequence Generator for Recommender Systems – Memory Biased Random Walk on a Sequence Multilayer Network (CROSBI ID 622749)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Antulov-Fantulin, Nino ; Bošnjak, Matko ; Zlatić, Vinko ; Grčar, Miha ; Šmuc Tomislav
engleski
Synthetic Sequence Generator for Recommender Systems – Memory Biased Random Walk on a Sequence Multilayer Network
Personalized recommender systems rely on each user's personal usage data in the system, in order to assist in decision making. However, privacy policies protecting users' rights prevent these highly personal data from being publicly available to a wider researcher audience. In this work, we propose a memory biased random walk model on a multilayer sequence network, as a generator of synthetic sequential data for recommender systems. We demonstrate the applicability of the generated synthetic data in training recommender system models in cases when privacy policies restrict clickstream publishing.
biased random walks ; recommender systems ; clickstreams ; networks
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Podaci o prilogu
25-36.
2014.
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objavljeno
978-3-319-11811-6
Podaci o matičnoj publikaciji
Proceedings of 17th International Conference, DS 2014, Lecture Notes in Computer Science, Vol. 8777
Džeroski, Sašo ; Panov, Panče ; Kocev, Dragi ; Todorovski, Ljupčo
Springer
Podaci o skupu
Discovery Science
ostalo
08.10.2014-10.10.2014
Bled, Slovenija