tensor factorization

Tencent Advertising Technology

Oct 29, 2020 · Artificial Intelligence

Large-Scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework

This article discusses a deep spatial-temporal tensor factorization framework for large-scale user visits understanding and forecasting, addressing challenges in advertising inventory prediction and demonstrating significant improvements over traditional methods.

advertising inventory predictiondata sciencedeep learning

0 likes · 9 min read

Large-Scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework

Tencent Advertising Technology

Jun 10, 2020 · Artificial Intelligence

Improving Advertising Inventory Forecasting with Deep Spatial‑Temporal Tensor Factorization

The article explains how advertising inventory forecasting—predicting how many users will see a specific ad—poses challenges due to fluctuating traffic and user segmentation, and describes a new deep spatial‑temporal tensor factorization model that dramatically improves prediction accuracy, scalability, and robustness for large‑scale ad platforms.

AIdeep learningforecasting

0 likes · 11 min read

Improving Advertising Inventory Forecasting with Deep Spatial‑Temporal Tensor Factorization

Ctrip Technology

Jan 22, 2017 · Artificial Intelligence

Cross-Domain Recommendation: Concepts, Methods, and Novel Approaches

This article reviews the fundamentals of cross-domain recommendation, explains the limitations of single‑domain personalized recommendation, surveys existing collaborative‑filtering, transfer‑learning, and knowledge‑based methods, and introduces two novel tensor‑factorization and bilinear multilevel models that achieve superior performance on real datasets.

Machine Learningcollaborative filteringcross-domain recommendation

0 likes · 17 min read

Cross-Domain Recommendation: Concepts, Methods, and Novel Approaches