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Relational graph neural network with neighbor interactions for bundle recommendation service
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 …
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 …
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
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 …
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 …
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 …
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 …
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
Cloud service selection is a critical decision that directly impacts an organization's
competitive position. Despite substantial research, a unified approach that integrates user …
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 …
creating a multi-criteria decision-making (MCDM) problem. Group decision-making among …