- 타인에게 설명한다고 생각하고 정리합니다.
- 이를 기반으로 나중에 강의를 찍고 싶은 계획이 있습니다.
- Paper: 논문의 주요 내용을 정리합니다.
- Industry: 회사들의 tech blog 주요 내용을 정리합니다.
- Project: 추천시스템과 관련한 개인 프로젝트를 진행하면서 기록을 남기고 싶은 내용을 정리합니다.
- Reference: 추천시스템과 관련한 정보를 아카이빙합니다.
- Factorization Machines, 2010
- Wide & Deep Learning for Recommender Systems, 2016
- Neural Collaborative Filtering, 2017
- DeepFM: A Factorization-Machine based Neural Network for CTR Prediction, 2017
- Real-time Personalization using Embeddings for Search Ranking at Airbnb, KDD 2018
- Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations, RecSys 2019
- DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems 2020
- The Rise (and Lessons Learned) of ML Models to Personalize Content on Home, 2021
- Introducing Natural Language Search for Podcast Episodes, 2022
- Modeling Users According to Their Slow and Fast-Moving Interests, 2022
- The machine learning behind delivering relevant ads, 2021
- Pinterest Home Feed Unified Lightweight Scoring: A Two-tower Approach, 2021
- Query Rewards: Building a Recommendation Feedback Loop During Query Selection, 2022
- How Pinterest Leverages Realtime User Actions in Recommendation to Boost Homefeed Engagement Volume, 2022
- The AI Behind LinkedIn Recruiter search and recommendation systems, 2019
- Near real-time features for near real-time personalization, 2022
- Community building recommender for group chats in LinkedIn Messaging, 2022
- Algorithm
- Collaborative Filtering for Implicit Feedback Data, 2008
- BPR: Bayesian Personalized Ranking from Implicit Feedback, UAI 2009
- Context-Aware Recommender Systems, 2011
- Neural Collaborative Filtering, 2017 IWWWC
- Fatorization Machines, 2009
- Wide & Deep Learning for Recommender Systems, 2016
- DeepFM: A Factorization-Machine based Neural Network for CTR Prediction, 2017
- AutoRec: Autoencoders Meet Collaborative Filtering, 2015 WWW
- Training Deep AutoEncoders for Collaborative Filtering, 2017
- Variational Autoencoders for Collaborative Filtering, 2018
- Deep content-based music recommendation, 2013 NIPS
- Deep Learning Recommendation Model for Personalization and Recommendation Systems (DLRM), 2019
- DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems 2020
- Real-time Personalization using Embeddings for Search Ranking at Airbnb, KDD 2018
- Algorithm - text, image
- Joint Training of Ratings and Reviews with Recurrent Recommender Nerworks, 2017 ICLR
- Image-based Recommendations on Styles and Substitutes, 2015 SIGIR
- VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback, 2016 AAAI
- Deep Neural Networks for YouTube Recommendations, 2016 RecSys
- Recommending What Video to Watch Next: A Multitask Ranking System, 2019 RecSys
- Algorithm - session-based, sequential
- Session-based Recommendations with Recurrent Neural Networks, 2015 ICLR
- BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer, 2019
- SASRec: Self-Attentive Sequential Recommendation, 2018
- Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation, SIGIR 2022
- Algorithm - graph
- PageRank: Standing on the shoulders of giant, 2010
- DeepWalk: Online Learning of Social Representations, 2014
- SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS, 2017
- Inductive Representation Learning on Large Graphs, 2017
- Graph Attention Networks, 2018
- Graph Convolutional Neural Networks for Web-Scale Recommender Systems
- LookAlike
- Diversity
- Algorithmic Effects on the Diversity of Consumption on Spotify, WWW 2020
- Bias
- Lessons Learned Addressing Dataset Bias in Model-Based Candidate Generation at Twitter, 2020 KDD IRS
- Popularity-Opportunity Bias in Collaborative Filtering, WSDM 2021
- User Modeling
- Causality
- Survey
- Deep Learning based Recommender System: A Survey and New Perspectives, 2019
- A Survey on Causal Inference for Recommendation, 2024
- Fairness and Diversity in Recommender Systems: A Survey, 2024
- 카카오
- 카카오 AI 추천: 카카오페이지와 멜론으로 살펴보는 카카오 연관 추천
- 카카오 AI 추천: 토픽모델링과 MAB를 이용한 카카오 개인화 추천
- 카카오 AI 추천: 협업필터링 모델 선택 시의 기준에 대하여
- 카카오 AI 추천: 카카오의 콘텐츠 기반 필터링
- 우리 생활 속 추천 시스템, 어떻게 발전해왔고, 어떻게 발전해나가고 있는가? (카카오 김성진 팀장, 2021.12)
- 추천 기술이 마주하고 있는 현실적인 문제들 (카카오 김성진 리더, 2021.10)
- if(kakao)2019 멜론 플레이리스트 자동 생성
- if(kakao)2020 맥락과 취향 사이 줄타기
- 브런치 추천의 힘에 대한 6가지 기술
- if(kakao)dev2022 Sequential Recommendation System 카카오 서비스 적용기
- if(kakao)dev2022 Explainable Recommender System in 카카오웹툰
- 당근
- 딥러닝 개인화 추천 (당근마켓, 2019)
- 번개장터
- 번개장터 추천시스템 개발 및 도입후기 (2017)
- 하이퍼커넥트
- 비용 효율적인 Click-Through Rate Prediction 모델로 하쿠나 라이브 추천시스템 구축하기
- 아자르에서 AI 기반 추천 모델의 타겟 지표를 설정하는 방법 (feat. 아하 모멘트), 2024
- 이벤트 기반의 라이브 스트리밍 추천 시스템 운용하기, 2022
- 라인
- 네이버
- (Deview2021) BERT로 만든 네이버 플레이스 비슷한 취향 유저 추천 시스템
- (Deview2021) Knowledge Graph에게 맛집과 사용자를 묻는다: GNN으로 맛집 취향 저격 하기
- (Deview2020) 유저가 좋은 작품(웹툰)을 만났을 때
- (Deview2020) 추천시스템 3.0: 딥러닝 후기시대에서 바이어스, 그래프, 그리고 인과관계의 중요성
- 넥슨
- NDC21-데이터분석, 추천알고리즘 offline A/B 테스트 (feat: PAIGE 프로야구 서비스)
- 요기요
- 데이터야놀자2022, 뭐먹지 빌런을 무찌르는 GNN 기반 개인화 추천 - 윤기태님
- 무신사
- 라이너
- 오늘의집
- 우아한형제들(배민)
- 컬리
- Spotify
- Ebay
- nvidia
- Uber
- X (twitter)
- meta (facebook)
- Netflix
- Others
- Transformers4Rec: A flexible library for Sequential and Session-based recommendation
- [22'Recsys] BERT4Rec 구현의 진실에 관하여 : A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation
- Scaling deep retrieval with TensorFlow Recommenders and Vertex AI Matching Engine
- DLRM github
- DeepCTR github
- Two Tower Model Architecture: Current State and Promising Extensions, 2023
- 추천 시스템 서비스 적용을 위한 Elastic Search 도입기, 2022