A Longitudinal Model for Song Popularity Prediction

2021 ◽  
Author(s):  
Ahmet Çimen ◽  
Enis Kayış
2021 ◽  
Vol 54 (2) ◽  
pp. 1-36
Author(s):  
Fan Zhou ◽  
Xovee Xu ◽  
Goce Trajcevski ◽  
Kunpeng Zhang

The deluge of digital information in our daily life—from user-generated content, such as microblogs and scientific papers, to online business, such as viral marketing and advertising—offers unprecedented opportunities to explore and exploit the trajectories and structures of the evolution of information cascades. Abundant research efforts, both academic and industrial, have aimed to reach a better understanding of the mechanisms driving the spread of information and quantifying the outcome of information diffusion. This article presents a comprehensive review and categorization of information popularity prediction methods, from feature engineering and stochastic processes , through graph representation , to deep learning-based approaches . Specifically, we first formally define different types of information cascades and summarize the perspectives of existing studies. We then present a taxonomy that categorizes existing works into the aforementioned three main groups as well as the main subclasses in each group, and we systematically review cutting-edge research work. Finally, we summarize the pros and cons of existing research efforts and outline the open challenges and opportunities in this field.


2020 ◽  
Vol 14 (1) ◽  
pp. 1-28
Author(s):  
Masoud Hassanpour ◽  
Seyed Amir Hoseinitabatabaei ◽  
Payam Barnaghi ◽  
Rahim Tafazolli

1994 ◽  
Vol 17 (3) ◽  
pp. 207-215 ◽  
Author(s):  
Deborah Gross ◽  
Barbara Conrad ◽  
Louis Fogg ◽  
Werner Wothke

2017 ◽  
Vol 5 (1) ◽  
pp. 110-134 ◽  
Author(s):  
Dominik Rumlich

This article summarizes the essential theoretical and empirical findings of a large-scale doctoral dissertation study on content and language integrated learning (CLIL) streams at German secondary schools (Gymnasium) with up to three content subjects taught in English (Rumlich, 2016). A theoretical account rooted in teaching English as a foreign language (EFL), language acquisition and educational psychology provides the basis for the development of a comprehensive longitudinal model of general EFL proficiency, which incorporates cognitive, affective-motivational, and further individual variables. In a second step, the model is used to estimate the effects of CLIL on general EFL proficiency, EFL self-concept and interest over a span of two school years (Year 6 to Year 8). The statistical evaluation of the quasi-experimental data from 1,000 learners finds large initial differences prior to CLIL due to selection, preparation, and class composition effects brought about by the implementation of CLIL within streams. After two years, the analyses found no CLIL-related benefits for general EFL proficiency or interest in EFL classes and solely a minor increase in EFL self-concept that might be attributable to CLIL. The results make a strong claim for comprehensive longitudinal model-based evaluations and the inclusion of selection, preparation, and class composition effects when conducting research on CLIL programmes in similar settings. The findings also suggest that not all language competences and affective-motivational dispositions might benefit from CLIL (the way it is currently taught in Germany) to the same extent.


Author(s):  
Jiayi Xie ◽  
Yaochen Zhu ◽  
Zhibin Zhang ◽  
Jian Peng ◽  
Jing Yi ◽  
...  

2021 ◽  
Author(s):  
Michael Votter ◽  
Maximilian Mayerl ◽  
Gunther Specht ◽  
Eva Zangerle

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