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20182026
most citedEENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search

24 citations · 27 across the 7 of their papers we have counts for

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Showing cs.IRShow all

7 papers · 1 filter

cs.IR2026

Residual Trajectory Distillation for Generative Retrieval

Weihao Shen, Wei Chen, Fuwei Zhang +4

Generative retrieval has emerged as a general retrieval paradigm, representing items with discrete Semantic IDs (SIDs) and retrieving them through autoregressive identifier generat…

cs.IR2026

Learning Multiresolution Relevance for Hierarchical Generative Retrieval

Weihao Shen, Wei Chen, Fuwei Zhang +4

Generative retrieval with semantic identifiers (SIDs) makes successive decisions over a document hierarchy. Relevant documents for the same query may share coarse prefixes and dive…

cs.IR2026

Requirement--Evidence Alignment for Compositional E-Commerce Queries

Weihao Shen, Wei Chen, Fuwei Zhang +6

Compositional e-commerce queries express multiple requirements that must hold jointly, yet existing rerankers collapse these constraints into aggregate relevance and often promote…

cs.IR2026

Unpaired Modality-Agnostic Generative Recommendation

Weihao Shen, Wei Chen, Fuwei Zhang +6

Generative Recommendation (GR) formulates recommendation as autoregressive generation over discrete semantic identifiers (IDs). Although recent multimodal GR methods improve semant…

cs.IR2026

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search

Zhi Jin, Xi Wang, Yunfei Li +3

Ranking relevance is a fundamental task in e-commerce search, directly affecting ranking quality and consumer experience. Although inherently an ordinal classification problem, it…

cs.IR2022

AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System

Zhirong Xu, Shiyang Wen, Junshan Wang +8

Graph embedding based retrieval has become one of the most popular techniques in the information retrieval community and search engine industry. The classical paradigm mainly relie…

cs.IR2018★ 24 cited

EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search

Wenjin Wu, Guojun Liu, Hui Ye +5

E-commerce sponsored search contributes an important part of revenue for the e-commerce company. In consideration of effectiveness and efficiency, a large-scale sponsored search sy…