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Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale
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| Published in: | ArXiv cs.DB Recent Papers |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864130790136217600 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | ArXiv cs.DB Recent Papers |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:48807 |
| institution | FRELIP |
| journal_source_facet | ArXiv cs.DB Recent Papers |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale ArXiv cs.DB Recent Papers Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | ArXiv cs.DB Recent Papers Computer Science & IT Engineering & Technology ArXiv cs.DB Recent Papers Computer Science & IT Engineering & Technology |
| subject_facet | ArXiv cs.DB Recent Papers Computer Science & IT Engineering & Technology |
| title | Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale |
| title_auth | Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale |
| title_full | Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale |
| title_fullStr | Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale |
| title_full_unstemmed | Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale |
| title_short | Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale |
| title_sort | versioned late materialization for ultra-long sequence training in recommendation systems at scale |
| topic | ArXiv cs.DB Recent Papers Computer Science & IT Engineering & Technology |
| url | https://arxiv.org/abs/2604.24806v1 |