Recommender systems in the era of large language models (llms)
With the prosperity of e-commerce and web applications, Recommender Systems (RecSys)
have become an important component of our daily life, providing personalized suggestions …
have become an important component of our daily life, providing personalized suggestions …
[HTML][HTML] A survey of GPT-3 family large language models including ChatGPT and GPT-4
KS Kalyan - Natural Language Processing Journal, 2023 - Elsevier
Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …
Tallrec: An effective and efficient tuning framework to align large language model with recommendation
Large Language Models (LLMs) have demonstrated remarkable performance across
diverse domains, thereby prompting researchers to explore their potential for use in …
diverse domains, thereby prompting researchers to explore their potential for use in …
Large language models are zero-shot rankers for recommender systems
Recently, large language models (LLMs)(eg, GPT-4) have demonstrated impressive general-
purpose task-solving abilities, including the potential to approach recommendation tasks …
purpose task-solving abilities, including the potential to approach recommendation tasks …
A survey on large language models for recommendation
Large Language Models (LLMs) have emerged as powerful tools in the field of Natural
Language Processing (NLP) and have recently gained significant attention in the domain of …
Language Processing (NLP) and have recently gained significant attention in the domain of …
Towards open-world recommendation with knowledge augmentation from large language models
Recommender systems play a vital role in various online services. However, the insulated
nature of training and deploying separately within a specific domain limits their access to …
nature of training and deploying separately within a specific domain limits their access to …
Do llms understand user preferences? evaluating llms on user rating prediction
Large Language Models (LLMs) have demonstrated exceptional capabilities in generalizing
to new tasks in a zero-shot or few-shot manner. However, the extent to which LLMs can …
to new tasks in a zero-shot or few-shot manner. However, the extent to which LLMs can …
[HTML][HTML] When large language models meet personalization: Perspectives of challenges and opportunities
The advent of large language models marks a revolutionary breakthrough in artificial
intelligence. With the unprecedented scale of training and model parameters, the capability …
intelligence. With the unprecedented scale of training and model parameters, the capability …
Large language models for generative recommendation: A survey and visionary discussions
Recent years have witnessed the wide adoption of large language models (LLM) in different
fields, especially natural language processing and computer vision. Such a trend can also …
fields, especially natural language processing and computer vision. Such a trend can also …
Llm-rec: Personalized recommendation via prompting large language models
We investigate various prompting strategies for enhancing personalized recommendation
performance with large language models (LLMs) through input augmentation. Our proposed …
performance with large language models (LLMs) through input augmentation. Our proposed …