{"schemaVersion":1,"target":{"type":"reading","id":"0c67e1a0b03a9e9b2cd79f05be6f52fe069f10054836182a150142108f0529fc","revision":"7404fde5-0805-4833-8116-53fec5137284","revisionKind":"publication-id","title":"arXiv cs.AI paper: Taobao’s URED recycles overlooked candidates for discovery","url":"https://escapemeridian.com/readings/arxiv-cs-ai-paper-taobao-s-ured-recycles-overlooked-candidates-0c67e1a0"},"source":{"type":"source","id":"https://arxiv.org/abs/2611.05997","revision":"83951c1fb90edce64e6d5ffee13251c6601e3bfc3dc4243b6ffbbd5722ad1338","revisionKind":"sha256-source-text","title":"From Waste to Discovery: Recycling High-Scored Unexposed Candidates in Taobao Feed Recommendation","url":"https://arxiv.org/abs/2611.05997"},"status":"available","items":[],"next":null,"scope":"Explicit citations in public readings and public file attachments to this reading. Shared topics are not citations. Other artifact types need an explicit reference adapter."}