Naslov
Synthetic Sequence Generator for Recommender Systems – Memory Biased Random Walk on a Sequence Multilayer Network

Autori
Antulov-Fantulin, Nino ; Bošnjak, Matko ; Zlatić, Vinko ; Grčar, Miha ; Šmuc Tomislav

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 17th International Conference, DS 2014, Lecture Notes in Computer Science, Vol. 8777 / Džeroski, Sašo ; Panov, Panče ; Kocev, Dragi ; Todorovski, Ljupčo - : Springer, 2014, 25-36

ISBN
978-3-319-11811-6

Skup
Discovery Science

Mjesto i datum
Bled, Slovenija, 08.10.2014. - 10.10.2014

Vrsta sudjelovanja
Ostalo

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
biased random walks ; recommender systems ; clickstreams ; networks

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA