Improving Quality of Service for Radio Station Hosting: An Online Recommender System Based on Information Fusion

25 Pages Posted: 26 Dec 2014

See all articles by Dmitry Ignatov

Dmitry Ignatov

National Research University Higher School of Economics

Sergey Nikolenko

National Research University Higher School of Economics

Taimuraz Abaev

National Research University Higher School of Economics

Jonas Poelmans

National Research University Higher School of Economics

Date Written: December 24, 2014

Abstract

We present a new recommender system developed for the Russian interactive radio network FMhost. The system aims to improve the quality of this service; it is designed specifically to deal with small datasets, overcoming the shortage of data on observed user behavior. The underlying model combines a collaborative user-based approach with information from tags of listened tracks in order to match user and radio station profiles. It follows an adaptive online learning strategy based on both user history and implicit feedback. We compare the proposed algorithms with industry standard methods based on Singular Value Decomposition (SVD) in terms of precision, recall, and Normalized Discounted Cumulative Gain (NDCG) measures; experiments show that in our case the fusion-based approach produces the best results.

Keywords: e-commerce, quality of service, consumer behaviour, music recommender systems, interactive radio network, hybrid recommender system, information fusion, CRM

JEL Classification: M13, M15, C6, C7, C8

Suggested Citation

Ignatov, Dmitry and Nikolenko, Sergey and Abaev, Taimuraz and Poelmans, Jonas, Improving Quality of Service for Radio Station Hosting: An Online Recommender System Based on Information Fusion (December 24, 2014). Higher School of Economics Research Paper No. WP BRP 31/MAN/2014, Available at SSRN: https://ssrn.com/abstract=2542543 or http://dx.doi.org/10.2139/ssrn.2542543

Dmitry Ignatov (Contact Author)

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Sergey Nikolenko

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Taimuraz Abaev

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Jonas Poelmans

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

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