Personalized prompt learning for explainable recommendation

L Li, Y Zhang, L Chen - ACM Transactions on Information Systems, 2023 - dl.acm.org
Providing user-understandable explanations to justify recommendations could help users
better understand the recommended items, increase the system's ease of use, and gain …

Learning to Generate Tips from Song Reviews

J Zang, C Gao, Y Chen, R Xu, L Zhou, X Wang - Neural Networks, 2023 - Elsevier
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 …

Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization

K Lu, X He, Z Qin, X Li, Z Du - … of the 32nd ACM International Conference …, 2023 - dl.acm.org
Manifold learning techniques have significantly enhanced the comprehension of massive
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 …

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 …

Personalized Abstractive Opinion Tagging

M Zhao, Y Yang, M Li, J Wang, W Wu, P Ren… - Proceedings of the 45th …, 2022 - dl.acm.org
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 …

Generating tips from song reviews: A new dataset and framework

J Zang, C Gao, Y Chen, R Xu, L Zhou… - arXiv preprint arXiv …, 2022 - arxiv.org
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 …

A Joint Framework for Explainable Recommendation with Knowledge Reasoning and Graph Representation

L Zhang, R Fang, T Yang, M Hu, T Li, C Shi… - … Conference on Database …, 2022 - Springer
With the development of recommendation systems (RSs), researchers are no longer only
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 …

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 …