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Recommendation, Personalization, and Exploration / Point-of-Interest Recommendation and Presentation Control

How does edge-accelerated federated learning improve real-time performance and energy consumption of POI systems compared to traditional centralized learning frameworks?

helpResearch questionPoint-of-Interest Recommendation and Presentation Control

How does edge-accelerated federated learning improve real-time performance and energy consumption of POI systems compared to traditional centralized learning frameworks?

UbiComp '21PREFER: Point-of-interest REcommendation with efficiency and privacy-preservation via Federated Edge leaRning

Similar questions

helpResearch questionPoint-of-Interest Recommendation and Presentation Control

What is the best method for accurate and user-acceptable POI display using AR in dynamic in-vehicle scenarios?

CHI '25Blending the Worlds: An evaluation of World-Fixed Visual Appearances in Automotive Augmented Reality

helpResearch questionPoint-of-Interest Recommendation and Presentation Control

Which POI visualization parameters (e.g., height, size, information density) provide the best user experience?

CHI '25Blending the Worlds: An evaluation of World-Fixed Visual Appearances in Automotive Augmented Reality

helpResearch questionPoint-of-Interest Recommendation and Presentation Control

What preferences do users have for AR functionality and UI personalization in dynamic in-vehicle scenarios?

CHI '25Blending the Worlds: An evaluation of World-Fixed Visual Appearances in Automotive Augmented Reality

helpResearch questionPoint-of-Interest Recommendation and Presentation Control

How can introducing relative spatial relationships between POIs accelerate training of next point-of-interest (POI) recommendation systems?

UbiComp '22Location Representations for Accelerating the Training of Next POI Recommender System

helpResearch questionPoint-of-Interest Recommendation and Presentation Control

Can incorporating relative spatial relationships improve recommendation accuracy in existing POI recommendation models?

UbiComp '22Location Representations for Accelerating the Training of Next POI Recommender System

helpResearch questionPoint-of-Interest Recommendation and Presentation Control

How can POI location representation vectors be optimized to adapt to different recommendation models?

UbiComp '22Location Representations for Accelerating the Training of Next POI Recommender System

Related papers

Blending the Worlds: An evaluation of World-Fixed Visual Appearances in Automotive Augmented Reality

Robin Connor Schramm, Markus Sasalovici, Jann Philipp Freiwald

Situational Recommender: Are You On the Spot, Refining Plans, or Just Bored?

Sruthi Viswanathan, Cecile Boulard, Adrien Bruyat