arXiv (OAI)
open access
Measuring the stability and plasticity of recommender systems
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
- Data Processing for Offline Evaluation in Recommender Systems: a Survey#1115652
- Training seeds and model-selection stability in recommender-system evaluation#632859
- User Perceived Qualities and Acceptance of Recommender Systems : The Role of Diversity#1100342
- Decomposing Staleness in Recommender Systems: A Dual-Filter Framework for Supersession and Decay#616919
- Decomposing Staleness in Recommender Systems: A Dual-Filter Framework for Supersession and Decay#616419
Record · ID 177109
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