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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
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
On Generative Agents in RecommendationCode2
The Adapter-Bot: All-In-One Controllable Conversational ModelCode1
INSPIRED: Toward Sociable Recommendation Dialog SystemsCode1
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
MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender SystemsCode0
Attention-based Ingredient Phrase ParserCode0
Movie Recommendation System using Sentiment Analysis from Microblogging DataCode0
Ducho meets Elliot: Large-scale Benchmarks for Multimodal RecommendationCode0
Collaborative Filtering with Recurrent Neural NetworksCode0
Harm Mitigation in Recommender Systems under User Preference DynamicsCode0
Knowledge-aware attentional neural network for review-based movie recommendation with explanationsCode0
Practical 0.385-Approximation for Submodular Maximization Subject to a Cardinality ConstraintCode0
Streaming Submodular Maximization under a k-Set System ConstraintCode0
A Hybrid Variational Autoencoder for Collaborative FilteringCode0
You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational InteractionsCode0
Jointly Learning Propagating Features on the Knowledge Graph for Movie RecommendationCode0
Online SuBmodular + SuPermodular (BP) Maximization with Bandit FeedbackCode0
No-Regret Learning in Unknown Games with Correlated PayoffsCode0
LFG: A Generative Network for Real-Time RecommendationCode0
Bias in Knowledge Graphs -- an Empirical Study with Movie Recommendation and Different Language Editions of DBpediaCode0
Obeying the Order: Introducing Ordered Transfer Hyperparameter OptimisationCode0
ExCalibR: Expected Calibration of Recommendations—0
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors—0
Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation—0
Exponential Family Embeddings—0
Attention Overflow: Language Model Input Blur during Long-Context Missing Items Recommendation—0
A Matrix Decomposition Model Based on Feature Factors in Movie Recommendation System—0
DEUX: An Attribute-Guided Framework for Sociable Recommendation Dialog Systems—0
Could you guess an interesting movie from the posters?: An evaluation of vision-based features on movie poster database—0
Contextual Bandits with Arm Request Costs and Delays—0
Construction of Hierarchical Structured Knowledge-based Recommendation Dialogue Dataset and Dialogue System—0
A Survey of Point-of-interest Recommendation in Location-based Social Networks—0
A Language-Driven Framework for Improving Personalized Recommendations: Merging LLMs with Traditional Algorithms—0
A Deep, Forgetful Novelty-Seeking Movie Recommender Model—0
Comprehensive Movie Recommendation System—0
Interactive Submodular Bandit—0
Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms: A Case with Bounded Regret—0
A novel Empirical Bayes with Reversible Jump Markov Chain in User-Movie Recommendation system—0
Integrating User and Item Reviews in Deep Cooperative Neural Networks for Movie Recommendation—0
I know why you like this movie: Interpretable Efficient Multimodal Recommender—0
Collaborative filtering via sparse Markov random fields—0
Language Models as Recommender Systems: Evaluations and Limitations—0
Large Language Models as Narrative-Driven Recommenders—0
Large Language Models as Recommender Systems: A Study of Popularity Bias—0
Submodular Maximization in Clean Linear Time—0
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