A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
The results demonstrate that the proposed CauseRec outperforms state-of-the-art sequential recommenders by learning accurate and robust user representations. ... Recent advances in sequential recommenders have convincingly demonstrated high capability in extracting effective user representations from the given behavior sequences. ... In this paper, we propose Counterfactual U ser Sequence Synthesis for Sequential Recommendation, abbreviated as CauseRec. ...arXiv:2109.05261v1 fatcat:ml4l2scfvfgh5lbdbh7r6blawq