https://github.com/JoeyDP/TEASER
공식 코드Modelling Users with Item Metadata for Explainable and Interactive Recommendation
Papers with Code 아카이브
Interactive Recommendation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/SunwardTree/TDDPG-Rec
공식 코드A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation
https://github.com/alcein/taira
공식 코드Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent
https://github.com/chongminggao/KuaiRand
공식 코드KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
https://github.com/chongminggao/cirs-codes
공식 코드CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System
https://github.com/chongminggao/dorl-codes
공식 코드Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation
https://github.com/google-research/recsim
공식 코드RecSim: A Configurable Simulation Platform for Recommender Systems
https://github.com/httpwww404notfound/CRIR
공식 코드https://github.com/modestyachts/stochastic-rec-reachability
공식 코드Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
https://github.com/zyody/QueryQR
공식 코드Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU
https://github.com/ArronDZhang/ROLeR
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.