A systematic literature review of sparsity issues in recommender systems
The tremendous expansion of information available on the web voraciously bombards
users, leaving them unable to make decisions and having no way of step** back to …
users, leaving them unable to make decisions and having no way of step** back to …
A novel knowledge graph embedding based API recommendation method for Mashup development
Web API is an efficient and cost-effective method for service-oriented software development,
and Mashup is a popular technology which combines multiple services to create more …
and Mashup is a popular technology which combines multiple services to create more …
Time-aware qos web service selection using collaborative filtering: A literature review
The large increase in the number of available Web services makes the selection of suitable
services a big challenge. Several methods have been developed to predict the Quality of …
services a big challenge. Several methods have been developed to predict the Quality of …
Generative adversarial network based service recommendation in heterogeneous information networks
Service recommendation is widely used to locate developers' desired services. Previous
methods mainly focus on employing collaborative filtering (CF) techniques to recommend …
methods mainly focus on employing collaborative filtering (CF) techniques to recommend …
A cloud API personalized recommendation method based on multiple attribute features and mashup requirement attention
L Shen, Y Wang, C Li, Z Chen - IEEE Access, 2024 - ieeexplore.ieee.org
In current mashup-oriented cloud API recommendation systems, insufficient attention to
personalized development requirements remains a common issue, particularly regarding …
personalized development requirements remains a common issue, particularly regarding …
A web API recommendation method with composition relationship based on GCN
Y Zhang, H Yang, L Kuang - 2020 IEEE Intl Conf on Parallel & …, 2020 - ieeexplore.ieee.org
Mashup belongs to one of the most popular representations of software applications, which
is generated by combining different kinds of APIs and data resources. APIs have developed …
is generated by combining different kinds of APIs and data resources. APIs have developed …
Temporal‐aware and sparsity‐tolerant hybrid collaborative recommendation method with privacy preservation
With the explosive growth of cloud services, how to design effective recommendation
models has become more and more important. Temporal information has been proved to be …
models has become more and more important. Temporal information has been proved to be …
Qos-based web service selection using time-aware collaborative filtering: a literature review
The proliferation of available Web services presents a big challenge in selecting suitable
services. Various methods have been devised to predict Quality of Service (QoS) values …
services. Various methods have been devised to predict Quality of Service (QoS) values …
Similarity and Complementarity Attention-Based Graph Neural Networks for Mashup-Oriented Cloud API Recommendation
L Shen, Y Wang, S Zhang, Z Chen - Electronics, 2023 - mdpi.com
Mashups, which combine various web application programming interfaces (APIs) to
implement some complex requirements, have grown to be a popular technique for …
implement some complex requirements, have grown to be a popular technique for …
Akgin: an api knowledge graph and intent network based mashup-oriented api recommendation method
C Yu, R Hu, B Wang - 2023 26th international conference on …, 2023 - ieeexplore.ieee.org
With the continuous development of the Web API ecosystem, mashup-oriented API
recommendation gets a lot of attention. Collaborative filtering, deep learning and their …
recommendation gets a lot of attention. Collaborative filtering, deep learning and their …