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Personalization in marketing aims at improving the shopping experience of customers by tailoring services to individuals. In order to achieve this, businesses must be able to make personalized predictions regarding the next purchase. That is, one mus...
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As AI becomes more personal, e.g., Agentic AI, there is an increasing need for personalizing models for various use cases. Personalized federated learning (PFL) enables each client to collaboratively leverage other clients' knowledge for better adapt...
Important: When you create a Google Account for your business, you can turn business personalization on. A business account also makes it easier to set up Google Business Profile, which helps improve …
Apr 18, 2025 · Turn On or Off "Recent Items" and "Frequent Places" for Current User in Settings app 1 Do step 2 or step 3 below for how you would like to open Personalization in the Settings app. 2 Right …
The Spotify Web Player gives listeners access to the world's music, podcasts and audiobooks on a single platform. With deep personalization, powerful curation, and AI features. Find all your favorite …
The Spotify Web Player gives listeners access to the world's music, podcasts and audiobooks on a single platform. With deep personalization, powerful curation, and AI features. Find all your favorite …
We propose a general purpose approach to detect landmarks with improved temporal consistency, and personalization. Most sparse landmark detection methods rely on laborious, manually labelled landmarks, where inconsistency in annotations over a tempor...
Heterogenous data is prevalent in real-world federated learning. We propose a parameter-efficient framework, Federated Low-Rank Adaptive Learning (FLoRAL), that allows clients to personalize in groups by mixing between low-rank adaptors, where the mi...
The vulnerability of smartphones to cyberattacks has been a severe concern to users arising from the integrity of installed applications (\textit{apps}). Although applications are to provide legitimate and diversified on-the-go services, harmful and...
Item-to-item collaborative filtering (aka. item-based CF) has been long used for building recommender systems in industrial settings, owing to its interpretability and efficiency in real-time personalization. It builds a user's profile as her histori...
The activity-based personalization setting allows Google Photos to show you even more personalized memories based on how you interact with features in Photos. To further personalize your memories …
Communicating climate change remains challenging, as climate reports, though rich in data and visualizations, often feel too abstract or technical for the public. Although personalization can enhance communication, most tools still lack the narrative...
Large Language Models (LLMs) excel at a wide range of tasks, but adapting them to new data, particularly for personalized applications, poses significant challenges due to resource and computational constraints. Existing methods either rely on exposi...
Federated Learning (FL) is a machine learning paradigm where many clients collaboratively learn a shared global model with decentralized training data. Personalized FL additionally adapts the global model to different clients, achieving promising res...
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Fine-tuning models on edge devices like mobile phones would enable privacy-preserving personalization over sensitive data. However, edge training has historically been limited to relatively small models with simple architectures because training is b...
Families raising children with ADHD often experience heightened stress and reactive parenting. While digital interventions promise personalization, many remain one-size-fits-all and fail to reflect parents' lived practices. We present CalmReminder, a...
The activity-based personalization setting allows Google Photos to show you even more personalized memories based on how you interact with features in Photos. To further personalize your memories …
This paper introduces a reinforcement learning (RL) platform that enhances end-to-end user journeys in healthcare digital tools through personalization. We explore a case study with SwipeRx, the most popular all-in-one app for pharmacists in Southeas...
Considering the use of artificial intelligence for greater personalization of patient care and better management of human and material resources may seem like an opportunity not to be missed. In order to offer a better humanization of the care pathwa...
Nov 13, 2025 · GPT-5.1 is one of the most significant upgrades in the GPT series—focusing not just on raw intelligence, but on personalization, consistency, and real-world usability. If you’re wondering …