AutomaticPlaylistContinuation
A Hybrid Recommender System for Improving Automatic Playlist Continuation.pdf
A Line in the Sandv- Recommendation or Ad-hoc Retrieval .pdf
A hybrid two-stage recommender system for automatic playlist continuation.pdf
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation.pdf
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation.pdf
An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion.pdf
Artist-driven layering and user’s behaviour impact on recommendations in a playlist continuation scenario.pdf
Automatic Music Playlist Continuation via Neighbor-based Collaborative Filtering and Discriminative Reweighting:Reranking.pdf
Automatic Playlist Continuation using Subprofile-Aware Diversification.pdf
Automatic playlist continuation using a hybrid recommender system combining features from text and audio.pdf
Consistency-Aware Recommendation for User-Generated ItemList Continuation.pdf
Dual-interest Factorization-heads Attention for Sequential Recommendation.pdf
Effective Nearest-Neighbor Music Recommendations.pdf
Efficient K-NN for Playlist Continuation.pdf
Efficient Similarity Based Methods For The Playlist Continuation Task.pdf
MMCF - Multimodal Collaborative Filtering for Automatic Playlist Continuation.pdf
MUSE - Music Recommender System with Shuffle Play Recommendation Enhancement.pdf
Offline Evaluation to Make Decisions About Playlist Recommendation Algorithms.pdf
Random Walk with Restart for Automatic Playlist Continuation and Query-Specific Adaptations.pdf
Social Tags and Emotions as main Features for the Next Song To Play in Automatic Playlist Continuation.pdf
Towards Seed-Free Music Playlist Generation.pdf
TrailMix - An Ensemble Recommender System for Playlist Curation and Continuation.pdf
Two-stage Model for Automatic Playlist Continuation at Scale.pdf
User Recommendation in Content Curation Platforms.pdf
Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation.pdf
A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction.pdf
A Deep Behavior Path Matching Network for Click-Through Rate Prediction.pdf
A Large Scale Prediction Engine for App Install Clicks and Conversions.pdf
A Self-Correcting Sequential Recommender.pdf
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation.pdf
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction.pdf
Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint.pdf
Aligned Side Information Fusion Method for Sequential Recommendation.pdf
All-domain Moveline Evolution Network for Click-Through Rate Prediction.pdf
Alternating Pointwise-Pairwise Learning for Personalized Item Ranking.pdf
Attention Mixtures for Time-Aware Sequential Recommendation.pdf
AutoMLP - Automated MLP for Sequential Recommendations.pdf
AutoSeqRec - Autoencoder for Efficient Sequential Recommendation.pdf
Breaking the Curse of Quality Saturation with User-Centric Ranking.pdf
CAEN - A Hierarchically Attentive Evolution Network for Item-Attribute-Change-Aware Recommendation in the Growing E-commerce Environment.pdf
CSPM - A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services.pdf
Category-Specific CNN for Visual-aware CTR Prediction at JD.com.pdf
Click-aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation.pdf
ConsRec - Learning Consensus Behind Interactions for Group Recommendation.pdf
ContextNet - A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding.pdf
Decision-Making Context Interaction Network for Click-Through Rate Prediction.pdf
Deep Context Interest Network for Click-Through Rate Prediction.pdf
Deep Group Interest Network on Full Lifelong User Behaviors for CTR Prediction.pdf
Deep Interest with Hierarchical Attention Network for Click-Through Rate Prediction.pdf
Deep Learning Recommendation Model for Personalization and Recommendation System.pdf
Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction.pdf
Denoising Neural Network for News Recommendation with Positive and Negative Implicit Feedback.pdf
Denoising User-aware Memory Network for Recommendation.pdf
Disentangling Long and Short-Term Interests for Recommendation.pdf
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks.pdf
Dual Graph enhanced Embedding Neural Network for CTR Prediction.pdf
E-Commerce Item Recommendation Based on Field-aware Factorization Machine.pdf
End-to-End User Behavior Retrieval in Click-Through Rate Prediction Model.pdf
Enhancing CTR Prediction through Sequential Recommendation Pre-training- Introducing the SRP4CTR Framework.pdf
Enhancing CTR prediction in Recommendation Domain with Search Query Representation.pdf
Enhancing E-commerce Product Search through Reinforcement Learning-Powered Query Reformulation.pdf
Entire Space Learning Framework- Unbias Conversion Rate Prediction in Full Stages of Recommender System.pdf
FLEN - Leveraging Field for Scalable CTR Prediction.pdf
FM2 - Field-matrixed Factorization Machines for Recommender Systems.pdf
FeedRec - News Feed Recommendation with Various User Feedbacks.pdf
Fi-GNN - Modeling Feature Interactions via Graph Neural Networks for CTR Prediction.pdf
FiBiNet++ - Improving FiBiNet by Greatly Reducing Model Size for CTR Prediction.pdf
FiBiNet++ - Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction.pdf
FinalMLP - An Enhanced Two-Stream MLP Model for CTR Prediction.pdf
Fragment and Integrate Network (FIN) - A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction.pdf
GateNet - Gating-Enhanced Deep Network for Click-Through Rate Prediction.pdf
Generative Flow Network for Listwise Recommendation.pdf
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems.pdf
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation.pdf
HIEN - Hierarchical Intention Embedding Network for Click-Through Rate Prediction.pdf
Hesitation and Tolerance in Recommender Systems.pdf
Hierarchical Gating Networks for Sequential Recommendation.pdf
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search.pdf
Hybrid Interest Modeling for Long-tailed Users.pdf
Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads.pdf
Improving Deep Learning For Airbnb Search.pdf
Improving Pairwise Learning for Item Recommendation from Implicit Feedback.pdf
Improving Recommendation Quality in Google Drive.pdf
Improving Sequential Recommender Systems with Online and In-store User Behavior.pdf
Improving feature interactions at Pinterest under industry constraints.pdf
Incorporating Social-aware User Preference for Video Recommendation.pdf
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation.pdf
Interpretable User Retention Modeling in Recommendation.pdf
Inverse Learning with Extremely Sparse Feedback for Recommendation.pdf
LONG-SEQUENCE RECOMMENDATION MODELS NEED DECOUPLED EMBEDDINGS.pdf
LambdaFM - Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates.pdf
Learning Within-Session Budgets from Browsing Trajectories.pdf
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System.pdf
Learning from All Sides - Diversified Positive Augmentation via Self-distillation in Recommendation.pdf
Leveraging Watch-time Feedback for Short-Video Recommendations - A Causal Labeling Framework.pdf
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction.pdf
Long Short-Term Temporal Meta-learning in Online Recommendation.pdf
Long-Term Interest Clock - Fine-Grained Time Perception in Streaming Recommendation System.pdf
MARM - Unlocking the Future of Recommendation Systems through Memory Augmentation and Scalable Complexity.pdf
MRIF - Multi-resolution Interest Fusion for Recommendation.pdf
Making Users Indistinguishable - Attribute-wise Unlearning in Recommender Systems.pdf
MemoNet - Memorizing All Cross Features’ Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction.pdf
Micro-Behavior Encoding for Session-based Recommendation.pdf
Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks.pdf
Modeling Multi-aspect Preferences and Intents for Multi-behavioral Sequential Recommendation.pdf
Modeling User Retention through Generative Flow Networks.pdf
Modeling Users’ Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search.pdf
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models.pdf
Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation.pdf
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.pdf
Neural News Recommendation with Negative Feedback.pdf
News Recommendation with Candidate-aware User Modeling.pdf
Optimizing Feature Set for Click-Through Rate Prediction.pdf
PURS - Personalized Unexpected Recommender System for Improving User Satisfaction.pdf
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data.pdf
Query-dominant User Interest Network for Large-Scale Search Ranking.pdf
RUEL - Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation.pdf
Recommender Transformers with Behavior Pathways.pdf
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling.pdf
Reweighting Clicks with Dwell Time in Recommendation.pdf
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction.pdf
Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce.pdf
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences.pdf
Surrogate for Long-Term User Experience in Recommender Systems.pdf
TWIN - TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou.pdf
TWIN V2 - Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou.pdf
Temporal Interest Network for Click-Through Rate Prediction.pdf
TencentRec - Real-time Stream Recommendation in Practice.pdf
TiSSA - A Time Slice Self-Attention Approach for Modeling Sequential User Behaviors.pdf
To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders.pdf
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction.pdf
TransAct - Transformer-based Realtime User Action Model for Recommendation at Pinterest.pdf
TrendSpotter - Forecasting E-commerce Product Trends.pdf
Triangle Graph Interest Network for Click-through Rate Prediction.pdf
User Behavior Retrieval for Click-Through Rate Prediction.pdf
Variance Reduction Using In-Experiment Data- Efficient and Targeted Online Measurement for Sparse and Delayed Outcomes.pdf
Visualizing and Understanding Deep Neural Networks in CTR Prediction.pdf
[2016][Microsoft] User Fatigue in Online News Recommendation.pdf
[2016][Youtube] Deep Neural Networks for YouTube Recommendations.pdf
[2017][Alibaba][ATRank] ATRank - An Attention-Based User Behavior Modeling Framework for Recommendation.pdf
[2017][Alibaba][DIN] Deep Interest Network for Click-Through Rate Prediction.pdf
[2018][Airbnb] Real-time Personalization using Embeddings for Search Ranking at Airbnb.pdf
[2018][Alibaba][DIEN] Deep Interest Evolution Network for Click-Through Rate Prediction.pdf
[2018][FwFM] Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising.pdf
[2018][JD] Micro Behaviors - A New Perspective in E-commerce Recommender Systems.pdf
[2019][Airbnb] Applying Deep Learning To Airbnb Search.pdf
[2019][Alibaba][BST] Behavior Sequence Transformer for E-commerceRecommendation in Alibaba.pdf
[2019][Alibaba][DSIN] Deep Session Interest Network for Click-Through Rate Prediction.pdf
[2019][Alibaba][MIMN] Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction.pdf
[2019][Weibo][FiBiNET] FiBiNET - Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction.pdf
[2020][Alibaba][CAN] CAN - Revisiting Feature Co-Action for Click-Through Rate Prediction.pdf
[2020][Alibaba][DMR] Deep Match to Rank Model for Personalized Click-Through Rate Prediction.pdf
[2020][Alibaba][SIM] Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction.pdf
[2021][Alibaba][DINMP] A Non-sequential Approach to Deep User Interest Model for Click-Through Rate Prediction.pdf
[2021][Fliggy] [DMSN] Spatial-Temporal Deep Intention Destination Networks for Online Travel Planning.pdf
[2021][Google] Bootstrapping Recommendations at Chrome Web Store.pdf
[2021][Huawei][AutoDis] An Embedding Learning Framework for Numerical Features in CTR Prediction.pdf
[2021][Weibo][MaskNet] MaskNet - Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask.pdf
[2022][Alibaba] Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models.pdf
[2022][Google] On the Factory Floor - ML Engineering for Industrial-Scale Ads Recommendation Models.pdf
[2023] Methodologies for Improving Modern Industrial Recommender Systems.pdf
[2023][Alibaba][JRC] Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model.pdf
[2023][Huawei] Ten Challenges in Industrial Recommender Systems.pdf
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