most citedKnowledge Enhanced Multi-intent Transformer Network for Recommendation

24 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

DCEO: Direct Causal Effect Optimization for Long-Term User Value Modeling in E-commerce Search

Junzhao Zhang, Tao Zhang, Liren Yu +4

Industrial e-commerce search systems ultimately aim to optimize the user-level long-term objective, such as n-day cumulative purchases or gross merchandise value (GMV) per user. Ho…

cs.CL2026

How Do Answer Tokens Read Reasoning Traces? Self-Reading Patterns in Thinking LLMs for Quantitative Reasoning

Haoyang Chen, Yi Liu, Jianzhi Shao +3

Thinking LLMs produce reasoning traces before answering. Prior activation steering work mainly targets on shaping these traces. It remains less understood how answer tokens actuall…

cs.IR2026

UniScale: Synergistic Entire Space Data and Model Scaling for Search Ranking

Liren Yu, Caiyuan Li, Feiyi Dong +5

Recent advances in Large Language Models (LLMs) have inspired a surge of scaling research in industrial search, advertising, and recommendation systems. However, existing approache…

cs.IR2024★ 24 cited

Knowledge Enhanced Multi-intent Transformer Network for Recommendation

Ding Zou, Wei Wei, Feida Zhu +3

Incorporating Knowledge Graphs into Recommendation has attracted growing attention in industry, due to the great potential of KG in providing abundant supplementary information and…

cs.IR2024

Search Intenion Network for Personalized Query Auto-Completion in E-Commerce

Wei Bao, Mi Zhang, Tao Zhang +1

Query Auto-Completion(QAC), as an important part of the modern search engine, plays a key role in complementing user queries and helping them refine their search intentions.Today's…