Please use this identifier to cite or link to this item: https://doi.org/10.1145/2393347.2396554
Title: Multimedia recommendation
Authors: Shen, J.
Wang, M.
Yan, S. 
Cui, P.
Keywords: multimedia
recommendation
Issue Date: 2012
Source: Shen, J.,Wang, M.,Yan, S.,Cui, P. (2012). Multimedia recommendation. MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia : 1535-. ScholarBank@NUS Repository. https://doi.org/10.1145/2393347.2396554
Abstract: Due to the rapid growth of online multimedia information, the problem of information overload has become more and more serious in recent decades. To address this problem, various multimedia recommendation technologies have been developed by different research communities (e.g., multimedia systems, information retrieval, and machine learning). Meanwhile, many commercial web systems (e.g., Flick, Youtube, and Last.fm) have successfully applied recommendation techniques to provide users personalized multimedia content and services in a convenient and flexible way. This tutorial focuses on exploring the state-of-the-art in multimedia recommendation. We also discuss the experience gained from developing existing systems and review key challenges associated with large-scale multimedia recommendation. © 2012 Authors.
Source Title: MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia
URI: http://scholarbank.nus.edu.sg/handle/10635/71047
ISBN: 9781450310895
DOI: 10.1145/2393347.2396554
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