Continual Graph Memory for Adaptive Recommendation under Intent Drift
英文标题：Continual Graph Memory for Adaptive Recommendation under Intent Drift
arXiv:2609.04651v1 Announce Type: new Abstract: This paper studies adaptive recommendation under intent drift, where feedback from each recommendation outcome can reveal whether the relational evidence used for ranking is useful, missing, or misleading. While Knowledge Graphs (KGs) provide essentia
打开原文相关 2.4 · 机会 0
2.1 KB
640 B
612 B
380 B
9.1 KB
32.7 KB
22.8 KB
24.2 KB
34.7 KB
中文
arXiv:2609.04651v1 Announce Type: new Abstract: This paper studies adaptive recommendation under intent drift, where feedback from each recommendation outcome can reveal whether the relational evidence used for ranking is useful, missing, or misleading. While Knowledge Graphs (KGs) provide essentia
中文全文翻译正在补齐，可先查看下方英文原文。
English / 原文
BibTeX formatted citation
×