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; Cerf, M. (2024-02-26). "The potential of generative AI for personalized persuasion at scale". Scientific Reports. 14 (1): 4692. Bibcode:2024NatSR.
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Personalization is an important topic in text-to-image generation, especially the challenging multi-concept personalization. Current multi-concept methods are struggling with identity preservation, occlusion, and the harmony between foreground and ba...
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Conversational Recommender Systems (CRS) provide personalized services through multi-turn interactions, yet most existing methods overlook users' heterogeneous decision-making styles and knowledge levels, which constrains both accuracy and efficiency...
Jul 14, 2025 · At Microsoft, we believe AI should work for you—not the other way around. That’s why we’re introducing memory in Copilot, a new capability that makes your...
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Ensuring that large language models (LLMs) reflect diverse user values and preferences is crucial as their user bases expand globally. It is therefore encouraging to see the growing interest in LLM personalization within the research community. Howev...
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With diet and nutrition apps reaching 1.4 billion users in 2022 [1], it's not surprise that popular health apps, MyFitnessPal, Noom, and Calorie Counter, are surging in popularity. However, one major setback [2] of nearly all nutrition applications i...
With hundreds, even thousands, of hotels to choose from at every destination, it's difficult to know which will suit your personal preferences. Expedia wants to take the proverbial rabbit hole out of hotel search by providing personalized hotel recom...
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Jul 14, 2025 · At Microsoft, we believe AI should work for you—not the other way around. That’s why we’re introducing memory in Copilot, a new capability that makes your...
One of the major open problems in sensor-based Human Activity Recognition (HAR) is the scarcity of labeled data. Among the many solutions to address this challenge, semi-supervised learning approaches represent a promising direction. However, their c...
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In video recommendation, an ongoing effort is to satisfy users' personalized information needs by leveraging their logged watch time. However, watch time prediction suffers from duration bias, hindering its ability to reflect users' interests accurat...
In video recommendation, a critical component that determines the system's recommendation accuracy is the watch-time prediction module, since how long a user watches a video directly reflects personalized preferences. One of the key challenges of thi...
Personalized recommendation stands as a ubiquitous channel for users to explore information or items aligned with their interests. Nevertheless, prevailing recommendation models predominantly rely on unique IDs and categorical features for user-item...
Personalized content and ads can also include things like video recommendations, a customized YouTube homepage, and tailored ads based on past activity, like the videos you watch and the things...
Personalized content and ads can also include things like video recommendations, a customized YouTube homepage, and tailored ads based on past activity, like the videos you watch and the things...
TikTok - trends start here. On a device or on the web, viewers can watch and discover millions of personalized short videos. Download the app to get started.
Figure captions are crucial for helping readers understand and remember a figure's key message. Many models have been developed to generate these captions, helping authors compose better quality captions more easily. Yet, authors almost always need t...
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We present MGM-Omni, a unified Omni LLM for omni-modal understanding and expressive, long-horizon speech generation. Unlike cascaded pipelines that isolate speech synthesis, MGM-Omni adopts a "brain-mouth" design with a dual-track, token-based archit...
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Jul 14, 2025 · At Microsoft, we believe AI should work for you—not the other way around. That’s why we’re introducing memory in Copilot, a new capability that makes your...
Manage your Amazon account settings, orders, payments, and preferences for a personalized shopping experience.
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They may be derived from hashed and/or encrypted email addresses or the statistical matching of other identifiers.technical identifiers and browsing and search data, for analytics, personalized ...
Manage your Amazon account settings, orders, payments, and preferences for a personalized shopping experience.