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DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems.

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DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems., , , , , , and . WWW, page 1785-1797. ACM / IW3C2, (2021)Seq2Slate: Re-ranking and Slate Optimization with RNNs., , , , , , , , and . CoRR, (2018)Practical Diversified Recommendations on YouTube with Determinantal Point Processes., , , , , and . CIKM, page 2165-2173. ACM, (2018)Top-K Off-Policy Correction for a REINFORCE Recommender System., , , , , and . WSDM, page 456-464. ACM, (2019)Control-flow refinement and progress invariants for bound analysis., , and . PLDI, page 375-385. ACM, (2009)Q&R: A Two-Stage Approach toward Interactive Recommendation., , , , and . KDD, page 139-148. ACM, (2018)Understanding and Improving Knowledge Distillation., , , , , , and . CoRR, (2020)Towards Neural Mixture Recommender for Long Range Dependent User Sequences., , , , , , and . WWW, page 1782-1793. ACM, (2019)Factorized Recurrent Neural Architectures for Longer Range Dependence., , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1522-1530. PMLR, (2018)Latent Cross: Making Use of Context in Recurrent Recommender Systems., , , , , , and . WSDM, page 46-54. ACM, (2018)