P-Companion: A Principled Framework for Diversified Complementary Product Recommendation
暂无分享,去创建一个
[1] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[2] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.
[3] Jure Leskovec,et al. Inferring Networks of Substitutable and Complementary Products , 2015, KDD.
[4] Julian J. McAuley,et al. Learning Compatibility Across Categories for Heterogeneous Item Recommendation , 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).
[5] Jiawei Han,et al. Frequent pattern mining: current status and future directions , 2007, Data Mining and Knowledge Discovery.
[6] Jure Leskovec,et al. Inductive Representation Learning on Large Graphs , 2017, NIPS.
[7] Greg Linden,et al. Amazon . com Recommendations Item-to-Item Collaborative Filtering , 2001 .
[8] Zihan Wang,et al. A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce , 2018, WSDM.
[9] Jiwen Lu,et al. Deep transfer metric learning , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Yehuda Koren,et al. Advances in Collaborative Filtering , 2011, Recommender Systems Handbook.
[11] Oren Barkan,et al. ITEM2VEC: Neural item embedding for collaborative filtering , 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).
[12] Wei Niu,et al. Quality-aware neural complementary item recommendation , 2018, RecSys.
[13] Anton van den Hengel,et al. Image-Based Recommendations on Styles and Substitutes , 2015, SIGIR.
[14] Taghi M. Khoshgoftaar,et al. A Survey of Collaborative Filtering Techniques , 2009, Adv. Artif. Intell..
[15] Mengting Wan,et al. Recommendation Through Mixtures of Heterogeneous Item Relationships , 2018, CIKM.
[16] Chen Zhang,et al. Scalable Top-K Structural Diversity Search , 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).
[17] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.
[18] Junjun Li,et al. Bundle recommendation in ecommerce , 2014, SIGIR.
[19] Subhajit Sanyal,et al. MRNet-Product2Vec: A Multi-task Recurrent Neural Network for Product Embeddings , 2017, ECML/PKDD.
[20] Chang Zhou,et al. Personalized Bundle List Recommendation , 2019, WWW.
[21] Yi Tay,et al. Deep Learning based Recommender System: A Survey and New Perspectives , 2018 .
[22] Jure Leskovec,et al. Representation Learning on Graphs: Methods and Applications , 2017, IEEE Data Eng. Bull..
[23] Yizhou Sun,et al. Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts , 2019, KDD.
[24] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[25] C. Sneha,et al. USER-BASED COLLABORATIVE-FILTERING RECOMMENDATION , 2015 .
[26] Jure Leskovec,et al. node2vec: Scalable Feature Learning for Networks , 2016, KDD.
[27] Yue Wu,et al. Learning to Improve Affinity Ranking for Diversity Search , 2016, AIRS.