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Recent developments in recommender systems: A survey
In this technical survey, the latest advancements in the field of recommender systems are
comprehensively summarized. The objective of this study is to provide an overview of the …
comprehensively summarized. The objective of this study is to provide an overview of the …
Prompting large language models for recommender systems: A comprehensive framework and empirical analysis
Recently, large language models such as ChatGPT have showcased remarkable abilities in
solving general tasks, demonstrating the potential for applications in recommender systems …
solving general tasks, demonstrating the potential for applications in recommender systems …
A survey of generative search and recommendation in the era of large language models
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 …
infrastructures to satisfying users' information needs. As the two sides of the same coin, both …
Prompt-augmented temporal point process for streaming event sequence
Abstract Neural Temporal Point Processes (TPPs) are the prevalent paradigm for modeling
continuous-time event sequences, such as user activities on the web and financial …
continuous-time event sequences, such as user activities on the web and financial …
Db-gpt: Empowering database interactions with private large language models
The recent breakthroughs in large language models (LLMs) are positioned to transition
many areas of software. Database technologies particularly have an important entanglement …
many areas of software. Database technologies particularly have an important entanglement …