dual‑tower | BestHub

Zhuanzhuan Tech

Oct 24, 2024 · Artificial Intelligence

Pre‑Ranking in Recommendation Systems: Model and Sample Optimization Practices at Zhuanzhuan Home Page

This article reviews the role of pre‑ranking in multi‑stage recommendation pipelines, compares dual‑tower and fully‑connected DNN models, discusses negative and positive sample selection strategies, and presents Zhuanzhuan's practical improvements in model architecture and traffic‑pool allocation to boost precision and diversity.

dual‑towermodel optimizationpre‑ranking

0 likes · 16 min read

Pre‑Ranking in Recommendation Systems: Model and Sample Optimization Practices at Zhuanzhuan Home Page

DeWu Technology

Feb 7, 2022 · Artificial Intelligence

Generalized Recommendation Solution for Transaction Scenarios

DeWu’s e‑commerce platform consolidated dozens of small‑scale transaction scenes into a universal personalized recommendation system by adopting a user‑to‑item DSSM dual‑tower model with unified sampling, category‑aware negative mining, cosine‑normalized embeddings, and real‑time serving, boosting click‑through rates by over 10% across all scenarios.

DSSMdual‑towere-commerce

0 likes · 13 min read

Generalized Recommendation Solution for Transaction Scenarios

58 Tech

Apr 9, 2021 · Artificial Intelligence

Vectorized Recall and Dual‑Tower Model for Home Page Recommendation at 58.com

This article details how 58.com improved its home‑page recommendation system by introducing vectorized recall with Word2Vec, optimizing negative sampling, deploying FAISS for fast nearest‑neighbor search, and later adopting a dual‑tower deep learning model with user interest features, achieving higher click‑through and conversion rates.

Word2Vecdual‑towerfaiss

0 likes · 19 min read

Vectorized Recall and Dual‑Tower Model for Home Page Recommendation at 58.com

58 Tech

Mar 29, 2021 · Artificial Intelligence

Deep Semantic Model Exploration and Application in 58 Search

This article presents a comprehensive overview of 58 Search's multi‑stage retrieval system, compares term‑match and semantic matching, details the design, training, and optimization of interactive, dual‑tower, and semi‑interactive BERT‑based semantic models, and discusses their practical deployment in ranking and recall stages.

AIBERTRanking

0 likes · 18 min read