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 …
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 indispensable and important component in our daily lives, providing …
have become an indispensable and important component in our daily lives, providing …
Large models for time series and spatio-temporal data: A survey and outlook
Temporal data, notably time series and spatio-temporal data, are prevalent in real-world
applications. They capture dynamic system measurements and are produced in vast …
applications. They capture dynamic system measurements and are produced in vast …
[HTML][HTML] LLMs in e-commerce: a comparative analysis of GPT and LLaMA models in product review evaluation
E-commerce has witnessed remarkable growth, especially following the easing of COVID-19
restrictions. Many people, who were initially hesitant about online shopping, have now …
restrictions. Many people, who were initially hesitant about online shopping, have now …
Glitter or gold? Deriving structured insights from sustainability reports via large language models
Over the last decade, several regulatory bodies have started requiring the disclosure of non-
financial information from publicly listed companies, in light of the investors' increasing …
financial information from publicly listed companies, in light of the investors' increasing …
[PDF][PDF] Fine-Tuning vs. Prompting: Evaluating the Knowledge Graph Construction with LLMs
H Ghanem, C Cruz - 3rd International Workshop on Knowledge Graph …, 2024 - ceur-ws.org
This paper explores Text-to-Knowledge Graph (T2KG) construction „assessing Zero-Shot
Prompting (ZSP), Few-Shot Prompting (FSP), and Fine-Tuning (FT) methods with Large …
Prompting (ZSP), Few-Shot Prompting (FSP), and Fine-Tuning (FT) methods with Large …
ReVisE: Emulated Visual Outfit Generation from User Reviews Using Generative-AI
The fashion industry faces significant challenges due to overproduction and waste, often
driven by uncertainty about consumer preferences. This paper presents ReVisE, a novel …
driven by uncertainty about consumer preferences. This paper presents ReVisE, a novel …
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs
N Forouzandehmehr, Y Cao… - … Conference on Big …, 2023 - ieeexplore.ieee.org
The outfit generation problem involves recommending a complete outfit to a user based on
their interests. Existing approaches focus on recommending items based on anchor items or …
their interests. Existing approaches focus on recommending items based on anchor items or …
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing
Data processing is one of the fundamental steps in machine learning pipelines to ensure
data quality. Majority of the applications consider the user-defined function (UDF) design …
data quality. Majority of the applications consider the user-defined function (UDF) design …
Integrating Prior Knowledge from Meta-Learning and Large Language Models for Cold-Start Recommendation
Y Li, Y Liu, T Furukawa - 2023 - catalog.lib.kyushu-u.ac.jp
Recommender Systems (RSs) often suffer from the cold-start problem, which leads to poor
recommendations when dealing with new items or users with limited interaction histories …
recommendations when dealing with new items or users with limited interaction histories …