A Bayesian learning model for design-phase service mashup popularity prediction-Reference-Cited by-同舟云学术

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A Bayesian learning model for design-phase service mashup popularity prediction

Published:2020-07 Issue: Volume:149 Page:113231
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Alshangiti Moayad^ORCID,Shi Weishi,Liu Xumin^ORCID,Yu Qi

Funder

Office of Naval Research

National Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference31 articles.

1. The pulse of news in social media: Forecasting popularity;Bandari,2012

2. Services mashups: The new generation of web applications;Benslimane;IEEE Internet Computing,2008

3. Pattern recognition and machine learning (information science and statistics);Bishop,2006

4. Latent dirichlet allocation;Blei;Journal of Machine Learning Research,2003

5. Understanding the factors that impact the popularity of github repositories;Borges,2016

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3. DAWAR;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval;2022-07-06

4. Content-oriented or persona-oriented? A text analytics of endorsement strategies on public willingness to participate in citizen science;Information Processing & Management;2022-03

5. Optimizing Prediction of YouTube Video Popularity Using XGBoost;Electronics;2021-11-28

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