Relational graph neural network with neighbor interactions for bundle recommendation service

X Wang, X Liu, J Liu, H Wu - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Bundle recommendation plays a crucial role in the service ecosystem. However, most
existing bundle recommendation methods are limited in several critical aspects such as the …

A graph theoretic approach for multi-objective budget constrained capsule wardrobe recommendation

S Patil, D Banerjee, S Sural - ACM Transactions on Information Systems …, 2021 - dl.acm.org
Traditionally, capsule wardrobes are manually designed by expert fashionistas through their
creativity and technical prowess. The goal is to curate minimal fashion items that can be …

Personalized service recommendation with mashup group preference in heterogeneous information network

F **e, L Chen, D Lin, Z Zheng, X Lin - IEEE Access, 2019 - ieeexplore.ieee.org
In the service network, there exist various objects and rich relations among them. These
various objects and rich relations naturally form a heterogeneous information network …

A survey of researches on personalized bundle recommendation techniques

M Li, X Bao, L Chang, Z Xu, L Li - … 2020, Guangzhou, China, October 8–10 …, 2020 - Springer
The recommender system is widely used in various fields such as movies, music, and
products. It has been an effective method to handle the preference matching problem by …

E-commerce product recommendation based on product specification and similarity

S Jain, P Hegade - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Recommender systems play the role of leading users to customized suggestions in the
broad universe of available possibilities. While producers use it for cross-selling, which …

IMBR: Interactive multi-relation bundle recommendation with graph neural network

J Sun, N Wang, X Liu - … Conference on Wireless Algorithms, Systems, and …, 2022 - Springer
Traditional approaches focus on an individual item of most interest to users. However, in
most realistic scenarios, the platform needs to recommend a group of items at one time for …

A Markov chain-based multi-criteria framework for dynamic cloud service selection using user feedback

F Latifi, R Nassiri, M Mohsenzadeh… - The Journal of …, 2025 - Springer
Cloud service selection is a critical decision that directly impacts an organization's
competitive position. Despite substantial research, a unified approach that integrates user …

A Group Multi-Criteria Decision-Making Approach Based on the Best-Only Method for Cloud Service Selection

AM Mostafa - IEEE Access, 2024 - ieeexplore.ieee.org
The evaluation of cloud services from various providers involves assessing multiple criteria,
creating a multi-criteria decision-making (MCDM) problem. Group decision-making among …