ENTITY
Low-Active Users
Low-Active Users
PulseAugur coverage of Low-Active Users — every cluster mentioning Low-Active Users across labs, papers, and developer communities, ranked by signal.
Total · 30d
2
2 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
2
2 over 90d
TIER MIX · 90D
SENTIMENT · 30D
1 day(s) with sentiment data
RECENT · PAGE 1/1 · 2 TOTAL
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Recommender systems use uncertainty to tailor content for user engagement
Researchers have developed a new framework to improve recommender systems by quantifying model uncertainty. This approach differentiates strategies for low-active users (LAUs) and high-active users (HAUs) to boost engag…
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Recommender systems use uncertainty to boost user retention and diversity
Researchers have developed a new framework to improve recommender systems by quantifying model uncertainty. This approach allows for differentiated strategies, such as risk-averse deboosting for low-activity users to su…