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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 26–50 of 113 papers

TitleStatusHype
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—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
A Fairness-aware Hybrid Recommender System—0
I know why you like this movie: Interpretable Efficient Multimodal Recommender—0
Learning Data Teaching Strategies Via Knowledge Tracing—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
Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training—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
A Multi-source Graph Representation of the Movie Domain for Recommendation Dialogues Analysis—0
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