Recommendation Model

Recommendation models aim to predict user preferences and provide personalized suggestions, primarily focusing on improving accuracy, efficiency, and fairness. Current research emphasizes addressing challenges like data sparsity, cold starts, popularity bias, and the impact of noisy data through techniques such as multi-modal approaches, knowledge graph integration, attention mechanisms, and self-supervised learning. These advancements have significant implications for various applications, including e-commerce, entertainment, and even healthcare, by enhancing user experience and enabling more effective information filtering.

Papers

July 25, 2023

GNN4FR: A Lossless GNN-based Federated Recommendation Framework
Guowei Wu, Weike Pan, Zhong Ming
Recommender System Recommendation Model Large Scale Graph Federated Recommendation Dfa GNN Lossless Performance Global Graph

July 19, 2023

Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?
Yu-chen Fan, Yitong Ji, Jie Zhang, Aixin Sun
Recommender System Recommendation Model Recommendation Algorithm Recommendation Scenario User Item Interaction Performing Model

June 28, 2023

Recommender Systems for Online and Mobile Social Networks: A survey
Mattia Giovanni Campana, Franca Delmastro
Timely Survey Recommender System Social Network Recommendation Model Online Service Recommendation Task Social Context

June 13, 2023

Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
Anima Singh, Trung Vu, Nikhil Mehta, Raghunandan Keshavan, Maheswaran Sathiamoorthy, Yilin Zheng, Lichan Hong, Lukasz Heldt, Li Wei, Devansh Tandon, Ed H. Chi, Xinyang Yi
Case Study Movie Recommendation Recommendation Model Partial Ranking Better Generalization Item Representation Hash Code Semantic ID

May 18, 2023

Machine Learning Recommendation System For Health Insurance Decision Making In Nigeria
Ayomide Owoyemi, Emmanuel Nnaemeka, Temitope O. Benson, Ronald Ikpe, Blessing Nwachukwu, Temitope Isedowo
Recommender System Decision Making Recommendation Model Recommendation Module Set Based Health Insurance

May 11, 2023

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
Language Model Recommender System Effective Recommendation Recommendation Model Recommendation Task Complex Instruction

May 2, 2023

When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
Yushun Dong, Jundong Li, Tobias Schnabel
Deep Learning Effective Recommendation Recommendation Model Implicit Feedback Recommendation Diversity

April 17, 2023

March 30, 2023

BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware
Nicholas Meisburger, Vihan Lakshman, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Tharun Medini, Anshumali Shrivastava
Deep Learning Recommendation Model Large Scale Search Neural Network Training Sparse Network Training

February 17, 2023

Improving Training Stability for Multitask Ranking Models in Recommender Systems
Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi
Recommender System Recommendation Model Multi Task Model Stable Training Training Instability

February 13, 2023

Improving Recommendation Fairness via Data Augmentation
Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang
Data Augmentation Collaborative Filtering Recommendation Model Data Balancing Recommendation Fairness Fairness Aware Recommendation Fairness Optimization

January 19, 2023

Individual Fairness for Social Media Influencers
Stefania Ionescu, Nicolo Pagan, Aniko Hannak
Recommender System Recommendation Model Individual Fairness Content Creator Content Quality

January 17, 2023

Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks
Lakshita Dodeja, Pradyumna Tambwekar, Erin Hedlund-Botti, Matthew Gombolay
Product Design Human Ai Collaboration Recommendation Model Single Strategy

December 27, 2022

A Survey on Federated Recommendation Systems
Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Lanju Kong, Fangzhao Wu, Yali Jiang, Lizhen Cui
Timely Survey Recommendation System Recommendation Model Empirical Privacy Privacy Constraint Federated Recommendation

December 12, 2022

Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems
Hanieh Hashemi, Wenjie Xiong, Liu Ke, Kiwan Maeng, Murali Annavaram, G. Edward Suh, Hsien-Hsin S. Lee
Deep Learning Many Sparse Recommendation Model Data Leakage Information Access Sparse Feature

November 29, 2022

Reusable Self-Attention-based Recommender System for Fashion
Marjan Celikik, Jacek Wasilewski, Sahar Mbarek, Pablo Celayes, Pierre Gagliardi, Duy Pham, Nour Karessli, Ana Peleteiro Ramallo
Deep Learning Recommender System Self Attention Recommendation Model Reusable Data Exhaust Fashion Domain

November 18, 2022

Recommending Related Products Using Graph Neural Networks in Directed Graphs
Srinivas Virinchi, Anoop Saladi, Abhirup Mondal
Graph Neural Network Recommendation Model Recommendation Task Directed Graph Product Attribute Graph Product Item Recommendation

November 17, 2022

Blurring-Sharpening Process Models for Collaborative Filtering
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
Recommender System Matrix Factorization Collaborative Filtering Recommendation Model Blurring Sharpening Process Model

November 11, 2022

Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates
Tobias Schnabel, Mengting Wan, Longqi Yang
Recommender System Recommendation System Practice Mode Recommendation Model Inductive Learning Incremental Data Transductive Learning

Recommendation Model

Papers

GNN4FR: A Lossless GNN-based Federated Recommendation Framework

Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?

Recommender Systems for Online and Mobile Social Networks: A survey

Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations

Machine Learning Recommendation System For Health Insurance Decision Making In Nigeria

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?

Enhancing Personalized Ranking With Differentiable Group AUC Optimization

Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation

BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware

Improving Training Stability for Multitask Ranking Models in Recommender Systems

Improving Recommendation Fairness via Data Augmentation

Individual Fairness for Social Media Influencers

Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks

A Survey on Federated Recommendation Systems

Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems

Reusable Self-Attention-based Recommender System for Fashion

Recommending Related Products Using Graph Neural Networks in Directed Graphs

Blurring-Sharpening Process Models for Collaborative Filtering

Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates