An Approach For Unlabeled Tasks Prioritization

Summary: Neural-network based prioritization of unlabeled software tasks for large backlogs. Novel approach enabling ranking without labeled data; includes model design, empirical results, and implications for data-management-driven task scheduling in enterprises. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6389
Venue: SIGMOD
Year: 2022
Pagerank: -
Overall Rank: 13,205 | 8.14%
DOI: 10.1145/3514221.3520245

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Authors

1. Plaksin Yaroslav

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