Personalized prompt learning for explainable recommendation
Providing user-understandable explanations to justify recommendations could help users
better understand the recommended items, increase the system's ease of use, and gain …
better understand the recommended items, increase the system's ease of use, and gain …
Learning to Generate Tips from Song Reviews
Reviews of songs play an important role in online music service platforms. Prior research
shows that users can make quicker and more informed decisions when presented with …
shows that users can make quicker and more informed decisions when presented with …
Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization
Manifold learning techniques have significantly enhanced the comprehension of massive
data by exploring the geometric properties of the data manifold in low-dimensional …
data by exploring the geometric properties of the data manifold in low-dimensional …
Diffusion-EXR: Controllable Review Generation for Explainable Recommendation via Diffusion Models
L Li, S Li, W Marantika, AC Kot, H Zhan - arXiv preprint arXiv:2312.15490, 2023 - arxiv.org
Denoising Diffusion Probabilistic Model (DDPM) has shown great competence in image and
audio generation tasks. However, there exist few attempts to employ DDPM in the text …
audio generation tasks. However, there exist few attempts to employ DDPM in the text …
API Misuse Detection Method Based on Transformer
J Yang, J Ren, W Wu - 2022 IEEE 22nd International …, 2022 - ieeexplore.ieee.org
Software developers need to take advantage of a variety of APIs (application programming
interface) in their programs to implement specific functions. The problem of API misuses …
interface) in their programs to implement specific functions. The problem of API misuses …
Personalized Abstractive Opinion Tagging
An opinion tag is a sequence of words on a specific aspect of a product or service. Opinion
tags reflect key characteristics of product reviews and help users quickly understand their …
tags reflect key characteristics of product reviews and help users quickly understand their …
Generating tips from song reviews: A new dataset and framework
Reviews of songs play an important role in online music service platforms. Prior research
shows that users can make quicker and more informed decisions when presented with …
shows that users can make quicker and more informed decisions when presented with …
A Joint Framework for Explainable Recommendation with Knowledge Reasoning and Graph Representation
With the development of recommendation systems (RSs), researchers are no longer only
satisfied with the recommendation results, but also put forward requirements for the …
satisfied with the recommendation results, but also put forward requirements for the …
[HTML][HTML] Исследование влияния текстового представления товара посредством моделей с использованием искусственных нейронных сетей глубокого …
ФВ Краснов - International Journal of Open Information …, 2023 - cyberleninka.ru
С ростом популярности онлайн-покупок академические исследования в области
электронной коммерции обретают все большую актуальность. Тем не менее …
электронной коммерции обретают все большую актуальность. Тем не менее …
Stylistic Pattern Guided Tip Extraction from Music Reviews
J Zang, A Dong - 2022 4th International Conference on Data …, 2022 - ieeexplore.ieee.org
Reviews are important sources for users to obtain helpful information and make quicker
decisions. However, reviews of songs are characterized by a vast number and noise. It is …
decisions. However, reviews of songs are characterized by a vast number and noise. It is …