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Zhuanzhuan Tech
Zhuanzhuan Tech
Sep 26, 2024 · Artificial Intelligence

Pricing Strategy and Model Evolution for Second‑Hand Phone Auctions in ZhaiZhai TOB Marketplace

This article examines the characteristics of ZhaiZhai's B2B auction scenario, defines core pricing metrics, presents a step‑by‑step methodology for determining optimal starting prices, reviews early practices and their shortcomings, and details the current modular machine‑learning model architecture that improves transaction rates and reduces price premiums for second‑hand smartphones.

OperationsPrice Optimizationalgorithm
0 likes · 29 min read
Pricing Strategy and Model Evolution for Second‑Hand Phone Auctions in ZhaiZhai TOB Marketplace
Alimama Tech
Alimama Tech
Jul 2, 2024 · Artificial Intelligence

NeurIPS 2024 Competition: Auto-Bidding in Large-Scale Auctions

The 2024 NeurIPS Competition, organized by Peking University's PAAI lab and Alibaba‑Mama, challenges teams to build auto‑bidding agents—using generative models for the AIGB Track or handling uncertainty for the General Track—to maximize ad performance in large‑scale auctions, with registration open until August 8 and prize pools up to $6,000 per track.

NeurIPSauctioncompetition
0 likes · 4 min read
NeurIPS 2024 Competition: Auto-Bidding in Large-Scale Auctions
JD Tech Talk
JD Tech Talk
Apr 25, 2024 · Artificial Intelligence

Evolution of JD Recommendation Advertising Ranking and Auction Mechanisms

This article reviews the evolution of JD’s recommendation advertising ranking mechanism, covering its economic auction origins, challenges of multi‑material valuation, user interest uncertainty, and multi‑item auction fairness, and describes AI‑driven solutions such as deep auction models and reinforcement‑learning‑based ListVCG.

Recommendation Systemsauctione‑commerce
0 likes · 19 min read
Evolution of JD Recommendation Advertising Ranking and Auction Mechanisms
JD Retail Technology
JD Retail Technology
Apr 15, 2024 · Artificial Intelligence

Design and Evolution of JD.com Recommendation Advertising Ranking Auction Mechanism

The article analyzes JD.com's recommendation advertising ranking auction mechanism, detailing its objectives, challenges in traffic value estimation, user interest exploration, and multi‑item auction fairness, and describing the technical evolution from traditional auctions to deep‑learning‑driven solutions.

Advertisingauctione‑commerce
0 likes · 18 min read
Design and Evolution of JD.com Recommendation Advertising Ranking Auction Mechanism
DataFunSummit
DataFunSummit
Apr 12, 2022 · Artificial Intelligence

Intelligent Auction Mechanisms for Alibaba Display Advertising: AIDA Framework, Deep GSP, and Neural Auction

This article presents the evolution of Alibaba's display advertising auction mechanisms, introducing the AIDA decision‑allocation framework, the Deep GSP multi‑objective smart auction, and the end‑to‑end Neural Auction, while discussing their economic theory, engineering platformization, business impact, and future research directions.

AIDeep Learningauction
0 likes · 18 min read
Intelligent Auction Mechanisms for Alibaba Display Advertising: AIDA Framework, Deep GSP, and Neural Auction
Alimama Tech
Alimama Tech
Apr 6, 2022 · Artificial Intelligence

Intelligent Auction Mechanisms for Alibaba Display Advertising: AIDA Framework, Deep GSP, and Neural Auction

Alibaba’s AIDA framework combines a bidding‑agent layer and a novel auction layer—Deep GSP and Neural Auction—to allocate display ads across its ecosystem, achieving incentive‑compatible, multi‑objective optimization, higher ROI, and scalable deployment via TensorFlow‑based platform services.

auctionmechanism designmulti-objective optimization
0 likes · 16 min read
Intelligent Auction Mechanisms for Alibaba Display Advertising: AIDA Framework, Deep GSP, and Neural Auction
DataFunSummit
DataFunSummit
Mar 3, 2022 · Artificial Intelligence

Sequence Optimization, Context-Aware CTR Re-Estimation, and Session-Level Auction for JD Advertising Ranking

The article presents JD's technical evolution for advertising ranking, covering technology selection for recommendation ad sorting, context‑aware CTR re‑estimation, reinforcement‑learning‑based sequence optimization, and a session‑level auction mechanism that together improve monetization efficiency and long‑term user value.

CTRauctionreinforcement learning
0 likes · 18 min read
Sequence Optimization, Context-Aware CTR Re-Estimation, and Session-Level Auction for JD Advertising Ranking