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 …
Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems
The emergence of Pre-trained Language Models (PLMs) has achieved tremendous success
in the field of Natural Language Processing (NLP) by learning universal representations on …
in the field of Natural Language Processing (NLP) by learning universal representations on …
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 …
Zero-shot next-item recommendation using large pretrained language models
Large language models (LLMs) have achieved impressive zero-shot performance in various
natural language processing (NLP) tasks, demonstrating their capabilities for inference …
natural language processing (NLP) tasks, demonstrating their capabilities for inference …
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 …
Prompt distillation for efficient llm-based recommendation
Large language models (LLM) have manifested unparalleled modeling capability on various
tasks, eg, multi-step reasoning, but the input to these models is mostly limited to plain text …
tasks, eg, multi-step reasoning, but the input to these models is mostly limited to plain text …
Vip5: Towards multimodal foundation models for recommendation
Computer Vision (CV), Natural Language Processing (NLP), and Recommender Systems
(RecSys) are three prominent AI applications that have traditionally developed …
(RecSys) are three prominent AI applications that have traditionally developed …