文件名称：推荐相关最新论文集-WWW2020
文件大小：53.01MB
文件格式：RAR
更新时间：2023-05-16 17:04:34
顶会论文 推荐系统 最新论文 WWW
机器学习推荐算法领域，顶会WWW2020推荐系统相关最新论文集，共计33篇论文，具有极大的参考价值。
【文件预览】：
0420-WWW2020-ML_RSer
----2020-paper2repo-GitHub Repository Recommendation for Academic Papers-WWW.pdf(1.13MB)
----2020-A Contextualized Temporal Attention Mechanism for-WWW.pdf(1.76MB)
----2020-Personalized Employee Training Course Recommendation with Career Development Awareness-WWW.pdf(2.94MB)
----2020-Weakly Supervised Attention for Hashtag Recommendation using Graph Data-WWW.pdf(1.76MB)
----2020-Keywords Generation Improves E-Commerce Session-based Recommendation-WWW.pdf(1.83MB)
----2020-Deep Global and Local Generative Model for Recommendation-WWW.pdf(1.78MB)
----2020-Few-Shot Learning for New User Recommendation in Location-based Social Networks-WWW.pdf(3.43MB)
----2020-Directional and Explainable Serendipity Recommendation-WWW.pdf(6.14MB)
----2020-Graph Enhanced Representation Learning for News Recommendation-WWW.pdf(4.09MB)
----2020-Learning to Hash with Graph Neural Networks for Recommender Systems-WWW.pdf(1MB)
----2020-Understanding User Behavior For Document Recommendation-WWW.pdf(2.33MB)
----2020-Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems-WWW.pdf(1022KB)
----2020-The Structure of Social Influence in Recommender Networks-WWW.pdf(5.76MB)
----2020-Hierarchical Adaptive Contextual Bandits for Resource-WWW.pdf(940KB)
----2020-Adaptive Hierarchical Translation-based Sequential Recommendation-WWW.pdf(1.67MB)
----2020-A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data-WWW.pdf(1.46MB)
----2020-Next Point-of-Interest Recommendation on__Resource-Constrained Mobile Devices-WWW.pdf(6.5MB)
----2020-Efficient Non Sampling Factorization Machines for Optimal Context Aware Recommendation-WWW.pdf(1018KB)
----2020-Efficient Neural Interaction Function Search for Collaborative Filtering-WWW .pdf(2.3MB)
----2020-Off-policy Learning in Two-stage Recommender Syste-WWW.pdf(859KB)
----2020-Attentive Sequential Model of Latent Intent for Next Item Recommendation-WWW.pdf(1.82MB)
----2020-Latent Linear Critiquing for Conversational Recommender Systems-WWW.pdf(2.87MB)
----2020-LightRec_ a Memory and Search-Efficient Recommender System-WWW.pdf(1.21MB)
----2020-Future Data Helps Training-Modeling Future Contexts for Session-based Recommendation-WWW.pdf(1.14MB)
----2020-Dual Learning for Explainable Recommendation_ Towards Unifying User Preference Prediction and Review Generation-WWW.pdf(852KB)
----2020-Reinforced Negative Sampling over Knowledge Graph for Recommendation-WWW.pdf(1.07MB)
----2020-Learning the Structure of Auto-Encoding Recommenders-WWW.pdf(1.58MB)
----2020-Intention Modeling from Ordered and Unordered Facets for Sequential Recommendation-WWW.pdf(1.49MB)
----2020-Recommending Themes for Ad Creative Design via Visual-Linguistic Representations-WWW.pdf(3.61MB)
----2020-A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems-WWW.pdf(962KB)
----2020-Adversarial Multimodal Representation Learning for Click-Through Rate Prediction-WWW.pdf(1.21MB)
----2020-FairRec-Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms-WWW.pdf(1.01MB)
----2020-Influence Function based Data Poisoning Attacks to Top-N Recommender Systems-WWW.pdf(1011KB)