arXiv (All)
open access
DP-Rec: Towards Dynamic Patching for Efficient Long-Sequence Recommendation
Transformers have redefined sequential recommendation by effectively modeling dynamic user behaviors and long-range dependencies. However, they remain inherently inefficient: standard architectures operate at a fixed rate, allocating comparable computation to every item in a user's history regardles
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- RouteRec: Behavior-Guided Sparse Routing for Sequential Recommendation#1143974
- Closing the Long-Short View Gap in Sequential Recommendation without Cached History#973816
- FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation#670549
- FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation#668484
- MuSeR: Scalable Long-sequence Recommendation with Multi-interest Modeling#1049414
Record · ID 1116546
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive