A Survey of Generative Search and Recommendation in the Era of Large Language Models

arXiv:2404.16924v1 Announce Type: cross
Abstract: With the information explosion on the Web, search and recommendation are foundational infrastructures to satisfying users' information needs. As the two sides of the same coin, both revolve around the same core research problem, matching queries with documents or users with items. In the recent few decades, search and recommendation have experienced synchronous technological paradigm shifts, including machine learning-based and deep learning-based paradigms. Recently, the superintelligent generative large language models have sparked a new paradigm …

abstract arxiv core cs.cl cs.ir documents foundational generative generative search information language language models large language large language models queries recommendation research search survey the information type web