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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 1–10 of 113 papers

TitleStatusHype
Training Compute-Optimal Large Language ModelsCode6
On Generative Agents in RecommendationCode2
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
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
The Adapter-Bot: All-In-One Controllable Conversational ModelCode1
LlamaRec: Two-Stage Recommendation using Large Language Models for RankingCode1
INSPIRED: Toward Sociable Recommendation Dialog SystemsCode1
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue SystemsCode1
Fairness in Streaming Submodular Maximization over a Matroid ConstraintCode0
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