sparse behavior

DataFunSummit

Feb 26, 2022 · Artificial Intelligence

Graph-Based Sparse Behavior Recall Models for Content Recommendation

This article presents a comprehensive study of graph‑based recall techniques for content recommendation, detailing how knowledge‑graph‑augmented user‑behavior graphs and novel attention‑driven models such as GADM, SGGA, and SGGGA improve performance for users with sparse interaction histories.

Graph Neural Networksattention mechanismdeep learning

0 likes · 11 min read

Graph-Based Sparse Behavior Recall Models for Content Recommendation

DaTaobao Tech

Feb 22, 2022 · Artificial Intelligence

Graph-based Deep Recall Models for Sparse User Behavior in Content Recommendation

The paper proposes graph‑based deep recall models that enrich sparse user behavior sequences in video recommendation by integrating content knowledge graphs and adaptive attention mechanisms, demonstrating that variants such as GADM, SGGA, and SGGGA significantly boost click‑through rates in online experiments.

AttentionGraph Neural Networksdeep learning

0 likes · 11 min read

Graph-based Deep Recall Models for Sparse User Behavior in Content Recommendation