Aleczhang13 / Awesome-Rerank-Recommendation

A curated list of Rerank Recommendation papers, code, blogs, datasets and other resources.

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Awesome Rerank Recommendation Awesome

A curated list of Rerank Recommendation papers, code, blogs, datasets and other resources.

A curated set of papers along with code.

  • List wise Approach to Learning to Rank Theory and Algorithm,(ICML 2008), Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Hang Li. [pdf] [code]

  • SoftRank: Optimising Non-Smooth Rank Metrics, (WSDM 2008), M. Taylor, J. Guiver, S. Robertson, Tom Minka. [pdf] [code]

  • Learning to Rank with Nonsmooth Cost Functions, (NIPS 2006), Christopher J, Burges, Robert Ragno, Quoc V. Le. [pdf] [code]

  • Learning to Rank using Gradient Descent, (ICML 2005), Chris Burges, Tal Shaked, Erin Renshaw, Ari Lazier. [pdf] [code]

  • Learning to Rank: From Pairwise Approach to Listwise Approach, (ICML 2005), Zhe Cao, Tao Qin, Tie-Yan Liu. [pdf] [code]

  • A General Framework for Counterfactual Learning-to-Rank, (SIGIR 2019), Aman Agarwal, Kenta Takatsu, Ivan Zaitsev, Thorsten Joachims. [pdf] [code]

  • Unbiased Learning-to-Rank with Biased Feedback,(WSDM 2017), Thorsten Joachims, Adith Swaminathan, Tobias Schnabel. [pdf] [code]

  • Managing Diversity in Airbnb Search, (KDD 2020), Mustafa Abdool, Malay Haldar, Prashant Ramanathan, Tyler Sax. [pdf] [code]

  • Seq2Slate: Re-ranking and Slate Optimization with RNNs, (ICLR 2019), Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi. [pdf] [code]

  • Beyond Greedy Ranking: Slate Optimization via List-CVAE, (ICLR 2019), Ray Jiang, Sven Gowal, Timothy A. Mann, Danilo J. Rezende. [pdf] [code]

  • Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search,(IJCAI 2018),Tao Zhuang, Wenwu Ou, Zhirong Wang.[pdf] [code]

  • Learning a Deep Listwise Context Model for Ranking Refinement,(arxiv 2018),Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft. [pdf] [code]

  • Personalized Re-ranking for Recommendation,(KDD 2018),_Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou .[pdf] [code]

  • Top-K Off-Policy Correction for a REINFORCE Recommender System,(WSDM 2019),Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed Chi. [pdf] [code]

  • Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce,(arxiv 2020),Jianxiong Wei, Anxiang Zeng, Yueqiu Wu, Peng Guo, Qingsong Hua, Qingpeng Cai.[pdf] [code]

  • Sequential Evaluation and Generation Framework for Combinatorial Recommender System,(arxiv 2019),Fan Wang, Xiaomin Fang, Lihang Liu, Yaxue Chen, Jiucheng Tao, Zhiming Peng, Cihang Jin, Hao Tian.[pdf] [code]

  • Exact-K Recommendation via Maximal Clique Optimization,(KDD 2019),Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu. [pdf] [code]

  • SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets,(IJCAI 2019), E. Ie, Vihan Jain, Jing Wang, S. Narvekar, R. Agarwal, R. Wu, Heng-Tze Cheng, T. Chandra, Craig Boutilier, [pdf] [code]

  • Deep Reinforcement Learning for Page-wise Recommendations,(arxiv 2018),Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang.[pdf] [code]

  • EdgeRec: Recommender System on Edge in Mobile Taobao,(CIKM2020),Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou[pdf] [code]

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A curated list of Rerank Recommendation papers, code, blogs, datasets and other resources.