针对现有算法模态特征交互不足、多模态与用户 - 商品交互融合浅的问题，提出 CFMM 模型：含跨注意力模块融合双类嵌入，设计含融合损失的综合损失函数优化。基于 Amazon 三类数据集实验，在 Recall@20 等指标上优于 9 种基线，最高提升 3.8%，消融实验验证核心模块有效性，证实其提升多媒体推荐性能的作用。
active 2024-12-30 → 2025-09-20 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 265 days from 2024-12-30 to 2025-09-20. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| NZ08 | 1 | 1 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.