TSSR-Beta (Taobao Search Semantic Retrieval Model - Beta), which improves the expressiveness of the production Dual-Encoder TSSR through a plug-in similarity module, termed the Hybrid Interaction Head, which introduces fine-grained matching in the representation space through two complementary pathways.
Guo-Hao Tan, Jia-Hui Wan, Tao Wen et al.· Proceedings of the 20th ACM...· 0 citations
LoopMemGR is proposed, a closed-loop recommendation experience memory framework for generative recommendation that maintains a recommendation experience log that records past recommendation--feedback trajectories and extracts request-relevant evidence through three complementary views.
Hui Qian, Chang-Fa Wu, Chang Liu et al.· arXiv.org· 0 citations
This work proposes the Cluster-Ranked Identifier (CRID), which decouples DocID into semantic clustering and business-value ranking, yielding collision-free identifiers that support incremental updates via intra-cluster reranking.
Gui Ling, Zhihong Chen, Yu Li et al.· arXiv.org· 2 citations
Generative retrieval has become an increasingly adopted paradigm for industrial search, recommendation, and advertising systems, delivering significant online gains. Most existing work combines user behavior sequences with large language models (LLMs) to model user preferences. In practice, feature engineering remains...
Dan Ou, Gui Ling, Haokai Wan et al.· 0 citations
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