[KDD 19][Tencent] A User-Centered Concept Mining System for Query and Document Understanding at Tencent_1649798406988.pdf
[GRU][CIKM 18] Recurrent Neural Networks with Top-k Gains for Session-based Recommendations_1649798406002.pdf
[IJCAI 19] Sequential Recommender Systems_Challenges, Progress and Prospects_1649798406455.pdf
[Transformer][ICDM 18] Self-Attentive Sequential Recommendation_1649798406722.pdf
[SIGIR 19][Alibaba] Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction_1649798404721.pdf
[SIGIR 20][Tencent] Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation_1649798405139.pdf
[CNN][WSDM 18] Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding_1649798405547.pdf
[CMI][KDD 20][Alibaba] Controllable Multi-Interest Framework for Recommendation_1649798403852.pdf
[PeterRec][SIGIR 20][Tencent] Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation_1649798404330.pdf
[PRM][RecSys 19][Alibaba] Personalized Re-ranking for Recommendation_1649798402920.pdf
[SIGIR 18] Learning a Deep Listwise Context Model for Ranking Refinement_1649798403157.pdf
[MDM 19] Sequence-Aware Recommendation with Long-Term and Short-Term Attention Memory Networks_1649798401985.pdf
[SIGIR 20][Google] Feature Transformation for Neural Ranking Models_1649798402358.pdf
[arxiv 18][Facebook] Collaborative Multi-modal Deep Learning for The Personalized Product Retrieval in Facebook Marketplace_1649798402663.pdf
[FTRL][KDD 13][Google] Ad Click Prediction_a View from the Trenches_1649798401030.pdf
[GBDT+LR][ADKDD 14][Facebook] Practical Lessons from Predicting Clicks on Ads at Facebook_1649798401369.pdf
[ImageCTR][CIKM 18][Alibaba] Image Matters_Visually modeling user behaviors using Advanced Model Server_1649798401666.pdf
[ACL 19][Microsoft] Neural News Recommendation with Long- and Short-term User Representations_1649798399850.pdf
[BERT4Rec][CIKM 19][Alibaba] BERT4Rec_Sequential Recommendation with Bidirectional Encoder Representations from Transformer_1649798400166.pdf
[BST][DLP-KDD 19][Alibaba] Behavior Sequence Transformer for E-commerce Recommendation in Alibaba_1649798400503.pdf
[Choppy][SIGIR 20][Google] Choppy- Cut Transformer For Ranked List Truncation_1649798400816.pdf
[DRN][WWW 18][Microsoft] DRN_A Deep Reinforcement Learning Framework for News Recommendation_1649798399087.pdf
[IJCAI 19][Google] Reinforcement Learning for Slate-based Recommender Systems_A Tractable Decomposition and Practical Methodology_1649798399231.pdf
[WSDM 19][Google] Top-K Off-Policy Correction for a REINFORCE Recommender System_1649798399374.pdf
[WWW 20][Google] Off-policy Learning in Two-stage Recommender Systems_1649798399635.pdf
[RecSys18][JD] Deep Reinforcement Learning for Page-wise Recommendations_1649798398044.pdf
[arxiv][ByteDance] Jointly Learning to Recommend and Advertise_1649798398598.pdf
[ICML 19][Alibaba] Generative Adversarial User Model for Reinforcement Learning Based Recommendation System_1649798397118.pdf
[KDD 19][JD] Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems_1649798397555.pdf
[AAAI 20][ByteDance] Deep Reinforcement Learning for Online Advertising in Recommender Systems_1649798396049.pdf
[AAAI19][Alibaba] Virtual Taobao_Virtualizing Real-world Online Retail Environment for Reinforcement Learning_1649798396257.pdf
[CIKM 18][Alibaba] Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising_1649798396421.pdf
[HATCH][WWW 20][Didi]Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation_1649798396808.pdf
deep learning for matching in search and recommendation book 2020_1649798394715.pdf
[AAAI 19][Huawei] Large-scale Interactive Recommendation with Tree-structured Policy Gradient_1649798395603.pdf
[SDM][CIKM 19][Alibaba] Sequential Deep Matching Model for Online Large-scale Recommender System_1649798393906.pdf
[TDM][KDD 18][Alibaba] Learning Tree-based Deep Model for Recommender Systems_1649798394144.pdf
[YoutubeDNN][RecSys 16][Google] Deep Neural Networks for YouTube Recommendations_1649798394344.pdf
[JTM][NIPS 19] Joint Optimization of Tree-based Index and Deep Model for Recommender Systems_1649798393175.pdf
[MIND][arxiv 19][Alibaba] Multi-Interest Network with Dynamic Routing for Recommendation at Tmall_1649798393374.pdf
[NCF][WWW 17] Neural Collaborative Filtering_1649798393703.pdf
[DR][ByteDance] Deep Retrieval_An End-to-End Learnable Structure Model for Large-Scale Recommendations_1649798392360.pdf
[DSSM][CIKM 13][Microsoft] Learning Deep Structured Semantic Models for Web Search using Clickthrough Data_1649798392823.pdf
[MOBIUS][KDD 19][Baidu] MOBIUS_Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search_1649798391033.pdf
[RecSys 19][Google] Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations_1649798391163.pdf
[SIF][WWW 20][4Paradigm] Efficient Neural Interaction Function Search for Collaborative Filtering_1649798391559.pdf
[CMI][KDD 20][Alibaba] Controllable Multi-Interest Framework for Recommendation_1649798389835.pdf
[ICDM 18] Self-Attentive Sequential Recommendation_1649798390457.pdf
[LightRec][WWW 20][Microsoft]LightRec_a Memory and Search-Efficient Recommender System_1649798390641.pdf
[MGNN][WWW 20][Tencent] Beyond Clicks_Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction_1649798390840.pdf
Next Item Recommendation with Self-Attention_1649798389106.pdf
[CDL][KDD 15] Collaborative Deep Learning for Recommender Systems_1649798389433.pdf
[AAAI 20] Learning Sparse Sharing Architectures for Multiple Tasks_1649798388051.pdf
[ESMM][SIGIR 18][Alibaba] Entire Space Multi-Task Model_An Effective Approach for Estimating Post-Click Conversion Rate_1649798388242.pdf
[KDD 20][Google] Multitask Mixture of Sequential Experts for User Activity Streams_1649798388405.pdf
[MMoE][KDD 18][Google] Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts_1649798388596.pdf
[RecSys 19][Alibaba] A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation_1649798388778.pdf
[KDD 20][Alibaba] M2GRL_A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems_1649798386885.pdf
[KDD 20][Alibaba] Multi-objective Optimization for Guaranteed Delivery in Video Service Platform_1649798387405.pdf
[RecSys 19][Google] Recommending What Video to Watch Next_A Multitask Ranking System_1649798387664.pdf
[AAAI 19][Google] SNR_Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning_1649798387907.pdf
[ESM2][arxiv][Alibaba] Conversion Rate Prediction via Post-Click Behaviour Modeling_1649798386280.pdf
[2020] HGNN_纪厚业_1649798372987.pdf
Perceive Your Users in Depth- Learning Universal User Representations from Multiple E-commerce Tasks_1649798385702.pdf
[2019] DLRM_纪厚业_1649798370322.pdf
[WWW 19][Microsoft] Knowledge Graph Convolutional Networks for Recommender Systems_1649798369015.pdf
[WWW 19][Microsoft] Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation_1649798369412.pdf
[KGAT][KDD 19] KGAT_Knowledge Graph Attention Network for Recommendation_1649798369563.pdf
[RippleNet][CIKM 18] RippleNet_Propagating User Preferences on the Knowledge Graph for Recommender Systems_1649798369797.pdf
[ATBRG][SIGIR 20][Alibaba] ATBRG_Adaptive Target-Behavior Relational Graph Network for Effective Recommendation_1649798368058.pdf
[DLP-KDD 19] An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation_1649798368664.pdf
[KDD 19][Meituan] Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems_1649798368787.pdf
[PinSage][KDD 18][Pinterest] Graph Convolutional Neural Networks for Web-Scale Recommender Systems_1649798366539.pdf
[AAAI 19][Ebay] Explainable Reasoning over Knowledge Graphs for Recommendation_1649798367483.pdf
[GCN][ICLR 17] Semi-Supervised Classification with Graph Convolutional Networks_1649798364989.pdf
[KDD 20][Alibaba] Understanding Negative Sampling in Graph Representation Learning_1649798365217.pdf
[GraphSAGE][NIPS 17] Inductive Representation Learning on Large Graphs_1649798365731.pdf
[ProNE][IJCAI 19] ProNE_Fast and Scalable Network Representation Learning_1649798363824.pdf
[SDNE][KDD 16] Structural Deep Network Embedding_1649798364179.pdf
[Struc2Vec][KDD 17] Struc2Vec_Learning Node Representations from Structural Identity_1649798364345.pdf
[FastGCN][ICLR 18] FastGCN_Fast Learning with Graph Convolutional Networks via Importance Sampling_1649798364582.pdf
[GAT][ICLR 18] Graph Attention Networks_1649798364709.pdf
[Node2Vec][KDD 16] Node2Vec_Scalable Feature Learning for Networks_1649798363459.pdf
[HOPE][KDD 16] Asymmetric Transitivity Preserving Graph Embedding_1649798360977.pdf
[LINE][WWW 15][Microsoft] LINE_Large-scale Information Network Embedding_1649798361270.pdf
[NetMF][WSDM 18] Network Embedding as Matrix Factorization_Unifying DeepWalk, LINE, PTE, and node2vec_1649798361483.pdf
[NetSMF][WWW 19] NetSMF_Large-Scale Network Embedding as Sparse Matrix_1649798361789.pdf
[WSDM 20][Tencent] Initialization for Network Embedding_A Graph Partition_1649798360107.pdf
[DeepWak][KDD 14] DeepWalk_Online Learning of Social Representations_1649798360318.pdf
[GraRep][CIKM 15] GraRep_Learning Graph Representations with Global Structural Information_1649798360789.pdf
[SDNE][KDD 16] Structural Deep Network Embedding_1649798359052.pdf
[Struc2Vec][KDD 17]struc2vec_Learning Node Representations from Structural Identity_1649798359360.pdf
[Word2Vec][2013][Google] Efficient Estimation of Word Representations in Vector Space_1649798359677.pdf
[Word2Vec][NIPS 13][Google] Distributed Representations of Words and Phrases and their Compositionality_1649798359829.pdf
[KDD 20][FaceBook] Embedding-based Retrieval in Facebook Search_1649798358098.pdf
[LINE][WWW 15][Microsoft] LINE_Large-scale Information Network Embedding_1649798358539.pdf
[Node2vec][KDD 16] Node2vec_Scalable Feature Learning for Networks_1649798358739.pdf
[Etsy Embedding][DAPA-WSDM 19] Learning Item-Interaction Embeddings for User Recommendations_1649798356914.pdf
[GCN][ICLR 17] Semi-supervised Classification with Graph Convolutional Networks_1649798357480.pdf
[GraphSAGE][NIPS 17] Inductive Representation Learning on Large Graphs_1649798357841.pdf