Movie Recommendation
24 papers with code • 1 benchmarks • 2 datasets
Evaluates the ability of language models to propose relevant movie recommendations with collaborative filtering data.
Source: BIG-bench
Benchmarks
These leaderboards are used to track progress in Movie Recommendation
| Trend | Dataset | Best Model | Paper | Code | Compare |
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MovieLens
Genre2Movies
Most implemented papers
Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation
We introduce ordered transfer hyperparameter optimisation (OTHPO), a version of transfer learning for hyperparameter optimisation (HPO) where the tasks follow a sequential order.
On Generative Agents in Recommendation
Recommender systems are the cornerstone of today's information dissemination, yet a disconnect between offline metrics and online performance greatly hinders their development.
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
Recently, large language models (LLMs) have exhibited significant progress in language understanding and generation.
LFG: A Generative Network for Real-Time Recommendation
Coder-II/LFG
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The recommendation model known as LFM (Latent Factor Model), which captures latent features through matrix factorization and gradient descent to fit user preferences, has given rise to various recommendation algorithms that bring new improvements in recommendation accuracy.
