Shuli Wang

NONTP boosts generative recommendation performance by over 34% in HR@10 by addressing critical training signal limitations of traditional NTP methods.

Meituan increased CTR by 2.7% in production by modeling the "situation" of user-item interactions, going beyond just the items themselves.

Meituan's new tree-based reranking method significantly boosts recommendation quality by generating lists in a coarse-to-fine manner, effectively balancing global context and local user interests.