A survey of natural language generation
This article offers a comprehensive review of the research on Natural Language Generation
(NLG) over the past two decades, especially in relation to data-to-text generation and text-to …
(NLG) over the past two decades, especially in relation to data-to-text generation and text-to …
Compatibility-aware web API recommendation for mashup creation via textual description mining
With the ever-increasing prosperity of web Application Programming Interface (API) sharing
platforms, it is becoming an economic and efficient way for software developers to design …
platforms, it is becoming an economic and efficient way for software developers to design …
A new method for heart rate prediction based on LSTM-BiLSTM-Att
H Lin, S Zhang, Q Li, Y Li, J Li, Y Yang - Measurement, 2023 - Elsevier
This paper proposes a new method for heart rate prediction based on LSTM-BiLSTM-Att
model (Long Short Term Memory, Bidirectional LSTM, Attention Mechanism). In this LSTM …
model (Long Short Term Memory, Bidirectional LSTM, Attention Mechanism). In this LSTM …
API recommendation for mashup creation: A comprehensive survey
Mashups are web applications that expedite software development by reusing existing
resources through integrating multiple application programming interfaces (APIs) …
resources through integrating multiple application programming interfaces (APIs) …
Neural and attentional factorization machine-based Web API recommendation for mashup development
The wide adoption of Service Oriented Architecture (SOA) has driven the creation of a
massive amount of applications on the Internet, which includes the popular Mashups …
massive amount of applications on the Internet, which includes the popular Mashups …
Came: Content-and context-aware music embedding for recommendation
Traditional recommendation methods suffer from limited performance, which can be
addressed by incorporating abundant auxiliary/side information. This article focuses on a …
addressed by incorporating abundant auxiliary/side information. This article focuses on a …
Edge-enabled federated sequential recommendation with knowledge-aware Transformer
The increasing ubiquity of recommendation systems in modern applications has brought
about significant changes in various aspects of our daily lives. However, the emergence of …
about significant changes in various aspects of our daily lives. However, the emergence of …
Mashup-oriented web API recommendation via multi-model fusion and multi-task learning
As the number of Web APIs ever increases, choosing the appropriate APIs for mashup
creations becomes more difficult. To tackle this problem, various methods have been …
creations becomes more difficult. To tackle this problem, various methods have been …
A hybrid recommendation model in social media based on deep emotion analysis and multi-source view fusion
L Jiang, L Liu, J Yao, L Shi - Journal of Cloud Computing, 2020 - Springer
The recommendation system is an effective means to solve the information overload
problem that exists in social networks, which is also one of the most common applications of …
problem that exists in social networks, which is also one of the most common applications of …
Web services classification based on wide & Bi-LSTM model
H Ye, B Cao, Z Peng, T Chen, Y Wen, J Liu - IEEE Access, 2019 - ieeexplore.ieee.org
With the rapid growth of Web services on the Internet, it becomes a great challenge for Web
services discovery. Classifying Web services with similar functions is an effective method for …
services discovery. Classifying Web services with similar functions is an effective method for …