The 3rd Workshop on Personal Intelligence with Generative AI

The emergence of large language models (LLMs) has ushered in a new era of generative AI, exhibiting broad human-level capabilities and achieving meaningful progress toward Artificial General Intelligence (AGI). To realize AGI that truly benefits each individual, one next key direction for generative AI is to develop personal intelligence -understanding individuals and enhancing personal thinking, planning, and life experiences through personalization. Although evolving generative AI toward personal intelligence is emerging, it has attracted considerable interest from both research institutions and industry, even becoming a strategic direction for many companies. This workshop aims to provide a platform for discussing innovative ideas that facilitate personal intelligence with generative AI, 1) envisioning the future of personal intelligence powered by generative AI, 2) item establishing benchmarks for personal intelligence tasks, 3) advancing user modeling/personalization techniques for generative models/agents, 4) enhancing real-world applications, and 4) ensuring privacy and trustworthiness. This workshop aims to deepen understanding, accelerate progress, and support the transformative development of personal intelligence. The website for the workshop is: https://generative-rec.github.io/workshop-www25.

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Publication Details

Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3717524
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

The 3rd Workshop on Personal Intelligence with Generative AI

Wayne Xin Zhao, Xiangnan He, Fuli Feng, Lina Yao et al.
Recommender Systems and Techniques
article

The 3rd Workshop on Personal Intelligence with Generative AI

Wayne Xin Zhao, Xiangnan He, Fuli Feng, Lina Yao, Xinyu Lin, Yang Song, Hongzhi Yin, Wenjie Wang, Yang Zhang
article en

Abstract

The emergence of large language models (LLMs) has ushered in a new era of generative AI, exhibiting broad human-level capabilities and achieving meaningful progress toward Artificial General Intelligence (AGI). To realize AGI that truly benefits each individual, one next key direction for generative AI is to develop personal intelligence -understanding individuals and enhancing personal thinking, planning, and life experiences through personalization. Although evolving generative AI toward personal intelligence is emerging, it has attracted considerable interest from both research institutions and industry, even becoming a strategic direction for many companies. This workshop aims to provide a platform for discussing innovative ideas that facilitate personal intelligence with generative AI, 1) envisioning the future of personal intelligence powered by generative AI, 2) item establishing benchmarks for personal intelligence tasks, 3) advancing user modeling/personalization techniques for generative models/agents, 4) enhancing real-world applications, and 4) ensuring privacy and trustworthiness. This workshop aims to deepen understanding, accelerate progress, and support the transformative development of personal intelligence. The website for the workshop is: https://generative-rec.github.io/workshop-www25.

University of Science and Technology of China (CN), Commonwealth Scientific and Industrial Research Organisation (AU), The University of Queensland (AU), National University of Singapore (SG), Data61 (AU), Renmin University of China (CN)
University of Science and Technology of China
Openalex Percentile: Top 84%
Recommender Systems and Techniques
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