Editorial Note: Hybrid Recommender Systems
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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
Seoul National University
Centre national de la recherché scientifique