Streaming Recommender Systems

21 Jul 2016Shiyu ChangYang ZhangJiliang TangDawei YinYi ChangMark A. Hasegawa-JohnsonThomas S. Huang

The increasing popularity of real-world recommender systems produces data continuously and rapidly, and it becomes more realistic to study recommender systems under streaming scenarios. Data streams present distinct properties such as temporally ordered, continuous and high-velocity, which poses tremendous challenges to traditional recommender systems... (read more)

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