activity
20182024
most citedLearning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks

130 citations · 486 across the 38 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2023

Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender

Shuai Yang, Lixin Zhang, Feng Xia +1

There are roughly three stages in real industrial recommendation systems, candidates generation (retrieval), ranking and reranking. Individual-level diversity and system-level dive…