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Recommendation, Personalization, and Exploration / Recommendation Algorithms, Ranking, and Social Recommendation

Under the Gossip Learning framework, how can model aggregation be optimized to improve personalized performance and training efficiency?

helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation

Under the Gossip Learning framework, how can model aggregation be optimized to improve personalized performance and training efficiency?

UbiComp '22PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning

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helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation

Compared with traditional ranked list interfaces, which more effectively adapts to changing user preferences: carousel interfaces?

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helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation

Can carousel interfaces significantly reduce users' navigation costs?

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helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation

How can multi-objective recommendation ranking systems be designed and evaluated to optimize multiple goals while meeting the needs of different stakeholders?

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How can cross-functional team collaboration efficiency improve the design and evaluation of multi-objective rankers?

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Can comprehensive information analysis tools help users balance trade-offs among different objectives under design changes?

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