Tag

MovieLens

0 views collected around this technical thread.

DataFunSummit
DataFunSummit
Oct 23, 2023 · Artificial Intelligence

Large Models in Recommendation Systems: Evaluation Challenges, Data Leakage, and Practical Considerations

This article examines how large language models fit into recommendation systems by discussing problem definitions, offline evaluation pitfalls such as data leakage, dataset construction issues exemplified by MovieLens, and the practical limits of using LLMs as a universal solution.

MovieLensRecommendation systemsdata leakage
0 likes · 18 min read
Large Models in Recommendation Systems: Evaluation Challenges, Data Leakage, and Practical Considerations
DataFunSummit
DataFunSummit
Jun 21, 2023 · Artificial Intelligence

Graph‑Enhanced Node Representation for Cold‑Start Recommendation: Neighbour‑Enhanced YouTubeDNN

This article proposes a graph‑based node representation method that combines static attribute graphs and dynamic interaction graphs with multi‑level attention to alleviate user and item cold‑start problems in recommendation systems, achieving notable AUC improvements on sparsified MovieLens datasets.

AttentionCold StartMovieLens
0 likes · 9 min read
Graph‑Enhanced Node Representation for Cold‑Start Recommendation: Neighbour‑Enhanced YouTubeDNN