本项目专注于整合情感分数来提升推荐准确性。该项目实现了一个多模态推荐框架，结合用户-物品交互数据与多模态特征，通过扩散模型生成模态感知的用户-物品图，以更好地捕捉用户偏好。 特别引入情感分数（SentimentScore）机制，对用户评论进行情感分析，并将其融入推荐模型中，以处理数据稀疏性和提升模态对齐效果。
active 2025-08-15 → 2026-03-12 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 210 days from 2025-08-15 to 2026-03-12. Pushes: 3 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 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
Recent activity
Latest issues, pull requests and releases
- Issue#1zyj-20012026-03-12 02:32数据集
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.