A Dual Augmented Two-tower Model for Online Large-scale Recommendation.pdf
A Simple Convolutional Generative Network for Next Item Recommendation.pdf
A User-Centered Concept Mining System for Query and Document Understanding at Tencent.pdf
An Empirical Study of Selection Bias in Pinterest Ads Retrieval.pdf
Attentive Collaborative Filtering - Multimedia Recommendation with Item- and Component-Level Aention.pdf
Attentive Sequential Models of Latent Intent for Next Item Recommendation.pdf
AutoRec - Autoencoders Meet Collaborative Filtering.pdf
Beyond Semantics - Learning a Behavior Augmented Relevance Model with Self-supervised Learning.pdf
Beyond Two-Tower Matching - Learning Sparse Retrievable Cross-Interactions for Recommendation.pdf
Binary Embedding-based Retrieval at Tencent.pdf
Build Faster with Less - A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search.pdf
CRM - Retrieval Model with Controllable Condition.pdf
CROLoss - Towards a Customizable Loss for Retrieval Models in Recommender Systems.pdf
Coarse-to-Fine Sparse Sequential Recommendation.pdf
Collaborative Deep Learning for Recommender Systems.pdf
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems.pdf
Cross-Batch Negative Sampling for Training Two-Tower Recommenders.pdf
Deep Collaborative Filtering via Marginalized Denoising Auto-encoder.pdf
Deep Matrix Factorization Models for Recommender Systems.pdf
Disentangled Self-Supervision in Sequential Recommenders.pdf
Divide and Conquer - Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective.pdf
Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation.pdf
Efficient Training on Very Large Corpora via Gramian Estimation.pdf
Extreme Multi-label Learning for Semantic Matching in Product Search.pdf
Factorization Meets the Neighborhood - a Multifaceted Collaborative Filtering Model.pdf
Fast Matrix Factorization for Online Recommendation with Implicit Feedback.pdf
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching.pdf
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems.pdf
I^3 Retriever- Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.pdf
Improving Recommendation Accuracy using Networks of Substitutable and Complementary Products.pdf
ItemSage - Learning Product Embeddings for Shopping Recommendations at Pinterest.pdf
Itinerary-aware Personalized Deep Matching at Fliggy.pdf
KuaiFormer - Transformer-Based Retrieval at Kuaishou.pdf
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking.pdf
Learning Deep Structured Semantic Models for Web Search using Clickthrough Data.pdf
Learning from History and Present - Next-item Recommendation via Discriminatively Exploiting User Behaviors.pdf
Locker - Locally Constrained Self-Attentive Sequential Recommendation.pdf
M5 - Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top Recommendation.pdf
MV-HAN - A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation.pdf
Modeling Dynamic Missingness of Implicit Feedback for Recommendation.pdf
Multi-Objective Personalized Product Retrieval in Taobao Search.pdf
NAIS - Neural Attentive Item Similarity Model for Recommendation.pdf
Neighborhood-based Hard Negative Mining for Sequential Recommendation.pdf
Neural Attentive Session-based Recommendation.pdf
Octopus - Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates.pdf
On Sampling Strategies for Neural Network-based Collaborative Filtering.pdf
On the Theories Behind Hard Negative Sampling for Recommendation.pdf
Outer Product-based Neural Collaborative Filtering.pdf
Path-based Deep Network for Candidate Item Matching in Recommenders.pdf
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding.pdf
PinnerSage - Multi-Modal User Embedding Framework for Recommendations at Pinterest.pdf
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search.pdf
Que2Engage - Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace.pdf
Que2Search - Fast and Accurate Query and Document Understanding for Search at Facebook.pdf
Recommendation on Live - Streaming Platforms- Dynamic Availability and Repeat Consumption.pdf
Recommender Systems with Generative Retrieval.pdf
Representing and Recommending Shopping Baskets with Complementarity, Compatibility, and Loyalty.pdf
Revisiting Neural Retrieval on Accelerators.pdf
Robust Representation Learning for Unified Online Top-K Recommendation.pdf
SPM - Structured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search.pdf
Self-Attentive Sequential Recommendation.pdf
Semi-supervised Adversarial Learning for Complementary Item Recommendation.pdf
Sequential Recommendation via Stochastic Self-Attention.pdf
Sequential Recommender System based on Hierarchical Attention Network.pdf
SimpleX - A Simple and Strong Baseline for Collaborative Filtering.pdf
Sparse-Interest Network for Sequential Recommendation.pdf
StarSpace - Embed All The Things!.pdf
Towards Automated Negative Sampling in Implicit Recommendation.pdf
Towards Personalized and Semantic Retrieval - An End-to-End Solution for E-commerce Search via Embedding Learning.pdf
Unifying Generative and Dense Retrieval for Sequential Recommendation.pdf
Variational Autoencoders for Collaborative Filtering.pdf
[2015][Microsoft][DSSM in Recsys] A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems.pdf
[2015][Sceptre] Inferring Networks of Substitutable and Complementary Products.pdf
[2016][Yahoo][App2Vec] App2Vec - Vector Modeling of Mobile Apps and Applications.pdf
[2018][TC-CML] Loss Aversion in Recommender Systems - Utilizing Negative User Preference to Improve Recommendation Quality.pdf
[2019][Alibaba][SDM] SDM - Sequential Deep Matching Model for Online Large-scale Recommender System.pdf
[2019][Google] Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations.pdf
[2020][Alibaba][Swing&Surprise] Large Scale Product Graph Construction for Recommendation in E-commerce.pdf
[2020][Baidu] Sample Optimization For Display Advertising.pdf
[2020][Facebook][EBR] Embedding-based Retrieval in Facebook Search.pdf
[2020][Google][MNS] Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations.pdf
[2020][Weixin][UTPM] Learning to Build User-tag Profile in Recommendation System.pdf
[2021][Alibaba][MGDSPR] Embedding-based Product Retrieval in Taobao Search.pdf
[2021][Alibaba][XDM] XDM - Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System.pdf
[2021][Google] Self-supervised Learning for Large-scale Item Recommendations.pdf
[2023] Adap-tau - Adaptively Modulating Embedding Magnitude for Recommendation.pdf
[2023][JD][MMSE] Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search.pdf
gSASRec - Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling.pdf
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