Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks

3 Aug 2019Srijan KumarXikun ZhangJure Leskovec

Modeling sequential interactions between users and items/products is crucial in domains such as e-commerce, social networking, and education. Representation learning presents an attractive opportunity to model the dynamic evolution of users and items, where each user/item can be embedded in a Euclidean space and its evolution can be modeled by an embedding trajectory in this space... (read more)

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