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Movie Recommendation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Evaluates the ability of language models to propose relevant movie recommendations with collaborative filtering data.
Source: BIG-bench
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/LehengTHU/Agent4Rec
공식 코드https://github.com/VisaoComputacional/mira
공식 코드MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender Systems
https://github.com/adhyyannarang/online_bp
공식 코드Online SuBmodular + SuPermodular (BP) Maximization with Bandit Feedback
https://github.com/giacoballoccu/explanation-quality-recsys
공식 코드https://github.com/google-research/google-research
공식 코드Fairness in Streaming Submodular Maximization: Algorithms and Hardness
https://github.com/hadoov/GHRS
공식 코드GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation
https://github.com/jerry-chee/harmmitigation
공식 코드Harm Mitigation in Recommender Systems under User Preference Dynamics
https://github.com/kilolgupta/Variational-Autoencoders-Collaborative-Filtering
공식 코드A Hybrid Variational Autoencoder for Collaborative Filtering
https://github.com/muradtuk/385ApproximationSubMax
공식 코드Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint
https://github.com/rdevooght/sequence-based-recommendations
공식 코드https://github.com/sighellan/syne-tune
공식 코드Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation
https://github.com/sisinflab/Ducho-meets-Elliot
공식 코드Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation
https://github.com/sunnweiwei/user-satisfaction-simulation
공식 코드Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems
https://github.com/sweetpeach/Inspired
공식 코드https://github.com/voitijaner/Movie-RSs-Master-Thesis-Submission-Voit
공식 코드https://github.com/yueeeeeeee/llamarec
공식 코드LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
https://github.com/zhengxiangshi/ingredientparsing
공식 코드https://github.com/3ZadeSSG/ContentBased-Movie-Recommendation-using-Sentiment-Analysis
Movie Recommendation System using Sentiment Analysis from Microblogging Data
https://github.com/HLTCHKUST/adapterbot
The Adapter-Bot: All-In-One Controllable Conversational Model
https://github.com/ROpdam/recommender_comparison
https://github.com/allenai/dolma
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/bramiozo/PubScience
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/ehsankazemi/streamingkextendible
Streaming Submodular Maximization under a $k$-Set System Constraint
https://github.com/karpathy/llama2.c
https://github.com/microsoft/recommenders
A Hybrid Variational Autoencoder for Collaborative Filtering
https://github.com/nathann3/better_than_netflix_movie_recommender
A Hybrid Variational Autoencoder for Collaborative Filtering
https://github.com/nkluge-correa/teenytinyllama
https://github.com/open-finance-lab/finlora
https://github.com/pko89403/llm-for-recsys-shadow/tree/main/LlamaRec
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
https://github.com/rvlopes/gloria
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/sessap/noregretgames
https://github.com/yangletliu/finlora
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