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In 2025, the intersection of AI and personal health is driving a new wave of startup ideas—and one of the most buzzed-about concepts is the AI-powered personalized wellness coach. Imagine an app tha...
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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Conventional approaches to personalized dialogue generation typically require a large corpus, as well as predefined persona information. However, in a real-world setting, neither a large corpus of training data nor persona information are readily ava...
I found that my facebook profile was non-personalized and wouldnt let me into marketplace. Once i switch turn to personalized i was able to access marketplace. I had all same issue as everyone in the …
Code for "Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose" (Arxiv 2020) and "Predicting Personalized Head Movement From Short Video and Speech Signal" (TMM 2022) (⭐ 775)
Amid the surge in generic text-to-video generation, the field of personalized human video generation has witnessed notable advancements, primarily concentrated on single-person scenarios. However, to our knowledge, the domain of two-person interactio...
Points: 2 | Comments: 0 | Author: robertbud1
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We present PhysioLLM, an interactive system that leverages large language models (LLMs) to provide personalized health understanding and exploration by integrating physiological data from wearables with contextual information. Unlike commercial healt...
In this article About ads on Google About ads on partner sites and apps Turn on or off personalized ads Control data saved from partner sites to your Google Account About ads on Google As you use …
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Social media feeds use predictive models to maximize engagement, often misaligning how people consume content with how they wish to. We introduce Bonsai, a system that enables people to build personalized and intentional feeds. Bonsai implements a pl...
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The future of conversational agents will provide users with personalized information responses. However, a significant challenge in developing models is the lack of large-scale dialogue datasets that span multiple sessions and reflect real-world user...
Prototype system predicting user movement with a neural network and providing concise well-being suggestions via a locally hosted LLM (Ollama). Demonstrates integration of activity data, user info, and AI recommendations. Trained on public data; not intended as medical advice (⭐…
This paper intends to address the challenge of personalized recipe recommendation in the realm of diverse culinary preferences. The problem domain involves recipe recommendations, utilizing techniques such as association analysis and classification....