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Movie Recommendation

Evaluates the ability of language models to propose relevant movie recommendations with collaborative filtering data.

Source: BIG-bench

Papers

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Showing 1–50 of 113 papers

TitleStatusHype
Training Compute-Optimal Large Language ModelsCode6
On Generative Agents in RecommendationCode2
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue SystemsCode1
GHRS: Graph-based Hybrid Recommendation System with Application to Movie RecommendationCode1
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of ExplanationsCode1
LlamaRec: Two-Stage Recommendation using Large Language Models for RankingCode1
The Adapter-Bot: All-In-One Controllable Conversational ModelCode1
INSPIRED: Toward Sociable Recommendation Dialog SystemsCode1
Linear Bandit Algorithms with Sublinear Time Complexity—0
A Language-Driven Framework for Improving Personalized Recommendations: Merging LLMs with Traditional Algorithms—0
Construction of Hierarchical Structured Knowledge-based Recommendation Dialogue Dataset and Dialogue System—0
A Matrix Decomposition Model Based on Feature Factors in Movie Recommendation System—0
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors—0
A Survey of Point-of-interest Recommendation in Location-based Social Networks—0
A Deep, Forgetful Novelty-Seeking Movie Recommender Model—0
Leveraging Long and Short-term Information in Content-aware Movie Recommendation—0
Submodular Maximization in Clean Linear Time—0
A case study of Empirical Bayes in User-Movie Recommendation system—0
Learning Data Teaching Strategies Via Knowledge Tracing—0
A novel Empirical Bayes with Reversible Jump Markov Chain in User-Movie Recommendation system—0
Learning Stable Graph Neural Networks via Spectral Regularization—0
Language Models as Recommender Systems: Evaluations and Limitations—0
Contextual Bandits with Arm Request Costs and Delays—0
Could you guess an interesting movie from the posters?: An evaluation of vision-based features on movie poster database—0
DEUX: An Attribute-Guided Framework for Sociable Recommendation Dialog Systems—0
Attention Overflow: Language Model Input Blur during Long-Context Missing Items Recommendation—0
Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation—0
ExCalibR: Expected Calibration of Recommendations—0
Exponential Family Embeddings—0
Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training—0
CherryRec: Enhancing News Recommendation Quality via LLM-driven Framework—0
Graph and graphon neural network stability—0
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems—0
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies—0
Fast Distributed Submodular Cover: Public-Private Data Summarization—0
Greed is Good: Near-Optimal Submodular Maximization via Greedy Optimization—0
Group Movie Selection using Multi-channel Emotion Recognition—0
Collaborative filtering via sparse Markov random fields—0
I know why you like this movie: Interpretable Efficient Multimodal Recommender—0
Fairness in Streaming Submodular Maximization over a Matroid Constraint—0
Integrating User and Item Reviews in Deep Cooperative Neural Networks for Movie Recommendation—0
Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms: A Case with Bounded Regret—0
Interactive Submodular Bandit—0
Comprehensive Movie Recommendation System—0
Learning From Missing Data Using Selection Bias in Movie Recommendation—0
BloombergGPT: A Large Language Model for Finance—0
Large Language Models as Narrative-Driven Recommenders—0
Large Language Models as Recommender Systems: A Study of Popularity Bias—0
Fairness in Streaming Submodular Maximization: Algorithms and Hardness—0
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