Adversarial Oracular Seq2seq Learning for Sequential Recommendation
IJCAI 2020, pp. 1905-1911, 2020.
We evaluate the proposed AOS4Rec with the baseline methods on two datasets from real-world applications
Recently, sequential recommendation has become a significant demand for many real-world applications, where the recommended items would be displayed to users one after another and the order of the displays influences the satisfaction of users. An extensive number of models have been developed for sequential recommendation by recommending ...More
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