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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

Showing 5175 of 113 papers

TitleStatusHype
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of ExplanationsCode1
Training Compute-Optimal Large Language ModelsCode6
Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation0
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation0
Using Partial Monotonicity in Submodular Maximization0
Sequential Item Recommendation in the MOBA Game Dota 20
Comprehensive Movie Recommendation System0
Transferability Properties of Graph Neural Networks0
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Learning Data Teaching Strategies Via Knowledge Tracing0
GHRS: Graph-based Hybrid Recommendation System with Application to Movie RecommendationCode1
Multi-Task End-to-End Training Improves Conversational Recommendation0
Language Models as Recommender Systems: Evaluations and Limitations0
Wide and Deep Graph Neural Network with Distributed Online Learning0
You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational InteractionsCode0
Thematic recommendations on knowledge graphs using multilayer networks0
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue SystemsCode1
Bias in Knowledge Graphs -- an Empirical Study with Movie Recommendation and Different Language Editions of DBpediaCode0
DEUX: An Attribute-Guided Framework for Sociable Recommendation Dialog Systems0
The Power of Subsampling in Submodular Maximization0
Linear Bandit Algorithms with Sublinear Time Complexity0
Modeling and Utilizing User's Internal State in Movie Recommendation Dialogue0
Graph and graphon neural network stability0
Fairness in Streaming Submodular Maximization: Algorithms and HardnessCode0
INSPIRED: Toward Sociable Recommendation Dialog SystemsCode1
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