Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey

H Jelodar, Y Wang, C Yuan, X Feng, X Jiang… - Multimedia tools and …, 2019‏ - Springer
Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

A systematic literature review on web service clustering approaches to enhance service discovery, selection and recommendation

N Agarwal, G Sikka, LK Awasthi - Computer Science Review, 2022‏ - Elsevier
With the advancement of web 2.0 and the development of the Internet of Things (IoT), all
tasks can be handled with the help of handheld devices. Web APIs or web services are …

Integrated content and network-based service clustering and web apis recommendation for mashup development

B Cao, XF Liu, MDM Rahman, B Li… - IEEE Transactions on …, 2017‏ - ieeexplore.ieee.org
The rapid growth in the number and diversity of Web APIs, coupled with the myriad of
functionally similar Web APIs, makes it difficult to find most suitable Web APIs for users to …

Web service recommendation via combining bilinear graph representation and xDeepFM quality prediction

B Cao, L Zhang, M Peng, Y Qing… - IEEE Transactions on …, 2023‏ - ieeexplore.ieee.org
With the increasing number of Web services, how to provide developers with Web services
that meet their Mashup requirements accurately and efficiently has become a challenging …

WE-LDA: a word embeddings augmented LDA model for web services clustering

M Shi, J Liu, D Zhou, M Tang… - 2017 ieee international …, 2017‏ - ieeexplore.ieee.org
Due to the rapid growth in both the number and diversity of Web services on the web, it
becomes increasingly difficult for us to find the desired and appropriate Web services …

QoS-aware service recommendation based on relational topic model and factorization machines for IoT Mashup applications

B Cao, J Liu, Y Wen, H Li, Q **ao, J Chen - Journal of parallel and …, 2019‏ - Elsevier
IoT Mashup applications allow developer to compose existing Web APIs to create value-
added composite Web services. The rapid growth of large-scale and complex services …

Understanding user intent modeling for conversational recommender systems: a systematic literature review

S Farshidi, K Rezaee, S Mazaheri, AH Rahimi… - User Modeling and User …, 2024‏ - Springer
User intent modeling in natural language processing deciphers user requests to allow for
personalized responses. The substantial volume of research (exceeding 13,000 …

Web services clustering via exploring unified content and structural semantic representation

G Kang, J Liu, Y **ao, Y Cao, B Cao… - IEEE Transactions on …, 2022‏ - ieeexplore.ieee.org
Clustering Web services can improve the quality and efficiency of service discovery and
management within a service repository. Nowadays, Web services frequently interact (eg …

One-handed gesture recognition using ultrasonic Doppler sonar

K Kalgaonkar, B Raj - 2009 IEEE International Conference on …, 2009‏ - ieeexplore.ieee.org
This paper presents a new device based on ultrasonic sensors to recognize one-handed
gestures. The device uses three ultrasonic receivers and a single transmitter. Gestures are …

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 …