Analyzing review sentiments and product images by parallel deep nets for personalized recommendation

Z Zhan, B Xu - Information Processing & Management, 2023 - Elsevier
Recommendation is an effective marketing tool widely used in the e-commerce business,
and can be made based on ratings predicted from the rating data of purchased items. To …

SMAR: Summary-Aware Multi-Aspect Recommendation

L Shi, W Wu, J Chen, W Hu, W Zheng, X Chen, L He - Neurocomputing, 2023 - Elsevier
Extracting user preferences and item features from reviews to assist recommendations is
becoming increasingly popular. However, on the one hand, existing works generally select …

Diffusion Review-Based Recommendation

X He, Q Peng, M Shao, Y Sun - International Conference on Knowledge …, 2024 - Springer
Review-based recommender systems have attracted a lot of attention recently because of
the rich information entailed in the reviews. These models try to learn representations to …

PMAR: Multi-aspect Recommendation Based on Psychological Gap

L Shi, W Wu, Y Ji, L Feng, L He - International Conference on Database …, 2022 - Springer
Review-based recommendations mainly explore reviews that provide actual attributes of
items for recommendation. In fact, besides user reviews, merchants have their descriptions …

A Focus on Female Consumer Review-Based Recommender Systems

N Lin, Z Shi, R Gao, S Zheng - 2024 IEEE 4th International …, 2024 - ieeexplore.ieee.org
In today's e-commerce world, personalized recommendation systems are crucial for
enhancing user experience and increasing sales. This research focuses on developing a …