e-commerce advertising

JD Tech

Jul 5, 2024 · Artificial Intelligence

Generative Recommendation Systems for JD Alliance Advertising: Architecture, Implementation, and Experimental Evaluation

This article surveys how large language models reshape recommendation systems, presents a generative RS framework tailored for JD Alliance advertising, details material representation, model input, training and inference pipelines, and reports extensive offline and online experiments demonstrating its effectiveness on sparse user data.

LLMe-commerce advertisingexperiment

0 likes · 27 min read

Generative Recommendation Systems for JD Alliance Advertising: Architecture, Implementation, and Experimental Evaluation

JD Tech

Apr 29, 2024 · Artificial Intelligence

Relation-Aware Diffusion Models for Automated Poster Layout and Product Background Generation

This article presents JD Advertising's 2023 AI-driven framework that uses a relation‑aware diffusion model with visual‑text and geometric modules, combined with category‑common and personalized generators and a planning‑and‑rendering network, to automate high‑quality, scalable e‑commerce poster creation and background synthesis.

diffusion modelse-commerce advertisingimage generation

0 likes · 18 min read

Relation-Aware Diffusion Models for Automated Poster Layout and Product Background Generation

Alimama Tech

Sep 15, 2021 · Artificial Intelligence

Deep Neural Auction (DNA): End-to-End Optimization of Multi-Objective E‑commerce Advertising Auctions

Deep Neural Auction (DNA) integrates deep learning with mechanism design to end-to-end optimize multi-objective e-commerce ad auctions, preserving incentive compatibility and individual rationality, using differentiable sorting and set encoding, achieving superior revenue, CTR, CVR, and conversion metrics versus GSP variants in Alibaba experiments.

Deep Learningauction designdifferentiable sorting

0 likes · 17 min read

Deep Neural Auction (DNA): End-to-End Optimization of Multi-Objective E‑commerce Advertising Auctions

DataFunTalk

Sep 2, 2020 · Artificial Intelligence

CSCNN: Category‑Specific Convolutional Neural Network for Visual CTR Prediction in JD E‑commerce Advertising

This article presents CSCNN, a category‑specific convolutional neural network that integrates visual priors into click‑through‑rate (CTR) models for JD.com’s e‑commerce advertising, detailing its motivation, architecture, engineering optimizations, offline and online training strategies, and empirical performance gains on both public and industrial datasets.

CTR predictionDeep Learningcategory-specific CNN

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CSCNN: Category‑Specific Convolutional Neural Network for Visual CTR Prediction in JD E‑commerce Advertising