Multimedia Tools and Applications

, Volume 77, Issue 4, pp 4093–4093 | Cite as

Editorial Note: Hybrid Recommender Systems

Editorial Note

Multimedia Tools and Applications gratefully acknowledges the editorial work of the scholars listed below on the special issue entitled, “Hybrid Recommender Systems.”

Of 68 papers submitted to this issue, 20 were eventually accepted after a stringent peer-review process.

Zhigao Zheng (Corresponding Guest Editor)

Huazhong University of Science & Technology

Wuhan, China;

Jian Wang

Seoul National University

Seoul, Korea;

Jinming Wen

Centre national de la recherché scientifique


Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

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