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Welcome to our comprehensive guide on Meta Learning On Heterogeneous Information Networks For Cold Start Recommendation. Oral Presentation at KDD 2020. Abstract
Meta Learning On Heterogeneous Information Networks For Cold Start Recommendation Comprehensive Overview
Authors: Hoyeop Lee (NCSOFT Co.);Jinbae Im (NCSOFT Co.);Seongwon Jang (NCSOFT Co.);Hyunsouk Cho (NCSOFT Co.) Developer Advocate Wei Wei overviews common approaches to tackle 3 kinds of RecSys 2021 Shared Neural Item Representations for Completely
Authors: Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang.
Summary & Highlights for Meta Learning On Heterogeneous Information Networks For Cold Start Recommendation
- Authors: Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma and Yongliang Li More on ...
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- Author: Huan Zhao, Department of
- Authors: Jun Zhao, Zhou Zhou, Ziyu Guan, Wei Zhao, Ning Wei, Guang Qiu and Xiaofei He More on https://www.kdd.org/kdd2019/
- RecSys 2022 by Moran Haham (Outbrain, Israel) Mitigating
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