MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation

1 code implementation • 19 Aug 2020 • Sung Min Cho, Eunhyeok Park, Sungjoo Yoo

Following the custom from language processing, most of these models rely on a simple positional embedding to exploit the sequential nature of the user's history.

Sequential Recommendation