LTV prediction | BestHub

Tencent Advertising Technology

Aug 26, 2024 · Artificial Intelligence

ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising

ADSNet introduces an adaptive Siamese network for cross‑domain lifetime value (LTV) prediction in advertising, leveraging external channel data to mitigate sample sparsity, employing gain‑based sample selection, domain adaptation, and ordinal classification to improve pLTV accuracy and address negative transfer.

LTV predictionMachine Learningadaptive siamese network

0 likes · 12 min read

ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising

IEG Growth Platform Technology Team

Nov 28, 2022 · Artificial Intelligence

Bidden-MarfNet: Feature Missing-aware Routing-and-Fusion Network for Customer Lifetime Value Prediction

This paper presents Bidden-MarfNet, a novel architecture that explicitly encodes feature‑missing information and dynamically re‑weights samples to address feature missingness and label sparsity in user‑level LTV prediction for advertising, demonstrating superior performance over existing methods through extensive experiments.

Dynamic WeightingLTV predictionMachine Learning

0 likes · 13 min read

Bidden-MarfNet: Feature Missing-aware Routing-and-Fusion Network for Customer Lifetime Value Prediction

IEG Growth Platform Technology Team

Nov 22, 2022 · Artificial Intelligence

Advances in Customer Lifetime Value Prediction for Online Advertising: Missing-aware Routing Fusion Network and Cross-domain Adaptive Learning

Two Tencent IEG Growth Platform papers accepted at WSDM 2023 and AAAI 2023 introduce a feature‑missing‑aware routing‑fusion network (MarfNet) and a cross‑domain adaptive framework (CDAF) that significantly improve online advertising LTV prediction despite sparse features and labels.

AICross‑domain AdaptationLTV prediction

0 likes · 4 min read

Advances in Customer Lifetime Value Prediction for Online Advertising: Missing-aware Routing Fusion Network and Cross-domain Adaptive Learning