CTR prediction | BestHub

Alimama Tech

Sep 21, 2022 · Artificial Intelligence

EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search

The paper introduces EXTR, a Transformer‑based CTR prediction model that jointly encodes diverse externalities from surrounding organic results and ads and infers missing ad placements via a Potential Allocation Generator, achieving superior AUC, COPC and LogLoss on Taobao data and deployment in Alibaba’s advertising system.

CTR predictionExternalitiesadvertising

0 likes · 11 min read

EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search

Alimama Tech

Sep 8, 2021 · Artificial Intelligence

Deep Uncertainty-Aware Learning (DUAL) for Click‑Through Rate Prediction and Exploration Strategies

The paper presents Deep Uncertainty‑Aware Learning (DUAL), a scalable Bayesian deep‑learning framework that combines a neural feature extractor with a Gaussian‑process prior to model CTR prediction uncertainty, mitigates feedback‑loop bias, and enables confidence‑driven exploration (UCB and Thompson sampling) that improves long‑term utility while preserving accuracy.

CTR predictionContextual BanditsGaussian Process

0 likes · 15 min read

Deep Uncertainty-Aware Learning (DUAL) for Click‑Through Rate Prediction and Exploration Strategies

Alimama Tech

Aug 25, 2021 · Artificial Intelligence

Calibration Techniques for User Response Prediction in Online Advertising

Alibaba Mama’s talk explains how calibrated probability models—evolving from simple Platt scaling to Bayesian isotonic regression and real‑time wave‑adjusted variants—improve click‑through and conversion predictions, enabling more accurate bidding, stable auctions, and fairer ad allocation despite data drift and sparsity.

CTR predictionalgorithmcalibration

0 likes · 20 min read

Calibration Techniques for User Response Prediction in Online Advertising