Context-Aware Network Analysis of Music Streaming Services for Popularity Estimation of Artists
暂无分享,去创建一个
Miki Haseyama | Takahiro Ogawa | Ryosuke Harakawa | Yui Matsumoto | M. Haseyama | Takahiro Ogawa | Ryosuke Harakawa | Yui Matsumoto
[1] N. Cowan. The magical number 4 in short-term memory: A reconsideration of mental storage capacity , 2001, Behavioral and Brain Sciences.
[2] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.
[3] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[4] Roger Zimmermann,et al. A Multimodal Approach to Predict Social Media Popularity , 2018, 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).
[5] Miki Haseyama,et al. Extracting hierarchical structure of content groups from different social media platforms using multiple social metadata , 2017, Multimedia Tools and Applications.
[6] Pedro Cano,et al. From hits to niches?: or how popular artists can bias music recommendation and discovery , 2008, NETFLIX '08.
[7] Yongdong Zhang,et al. Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks , 2017, IJCAI.
[8] J. Friedman. Stochastic gradient boosting , 2002 .
[9] H. Hotelling. Relations Between Two Sets of Variates , 1936 .
[10] Yongdong Zhang,et al. Web video topics discovery and structuralization with social network , 2016, Neurocomputing.
[11] Alberto Del Bimbo,et al. Image Popularity Prediction in Social Media Using Sentiment and Context Features , 2015, ACM Multimedia.
[12] Chih-Jen Lin,et al. A Practical Guide to Support Vector Classication , 2008 .
[13] Changsheng Xu,et al. Towards SMP Challenge: Stacking of Diverse Models for Social Image Popularity Prediction , 2017, ACM Multimedia.
[14] Tomasz Trzcinski,et al. Recurrent Neural Networks for Online Video Popularity Prediction , 2017, ISMIS.
[15] Miki Haseyama,et al. Music Video Recommendation Based on Link Prediction Considering Local and Global Structures of a Network , 2019, IEEE Access.
[16] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[17] Bernardo A. Huberman,et al. Predicting the popularity of online content , 2008, Commun. ACM.
[18] Jure Leskovec,et al. Supervised random walks: predicting and recommending links in social networks , 2010, WSDM '11.
[19] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.
[20] Arjen P. de Vries,et al. Artist Popularity: Do Web and Social Music Services Agree? , 2021, ICWSM.
[21] Alberto Del Bimbo,et al. Web Video Popularity Prediction using Sentiment and Content Visual Features , 2016, ICMR.
[22] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[23] Przemysław Rokita,et al. Predicting Popularity of Online Videos Using Support Vector Regression , 2017, IEEE Transactions on Multimedia.
[24] Flavio Figueiredo,et al. On the prediction of popularity of trends and hits for user generated videos , 2013, WSDM.
[25] Yi-Hsuan Yang,et al. Hit Song Prediction for Pop Music by Siamese CNN with Ranking Loss , 2017, ArXiv.
[26] Brian D. Davison,et al. Predicting popular messages in Twitter , 2011, WWW.
[27] Tao Mei,et al. Predicting Image Popularity in an Incomplete Social Media Community by a Weighted Bi-partite Graph , 2012, 2012 IEEE International Conference on Multimedia and Expo.
[28] Wenyin Liu,et al. A Hybrid Model Combining Convolutional Neural Network with XGBoost for Predicting Social Media Popularity , 2017, ACM Multimedia.
[29] M. Jacomy,et al. ForceAtlas 2 , A Continuous Graph Layout Algorithm for Handy Network Visualization , 2012 .
[30] Arthur E. Hoerl,et al. Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.
[31] Eugene Agichtein,et al. Towards Intent-Aware Contextual Music Recommendation: Initial Experiments , 2018, SIGIR.
[32] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[33] Peter Knees,et al. What's Hot? Estimating Country-specific Artist Popularity , 2010, ISMIR.
[34] Elaine Shi,et al. Link prediction by de-anonymization: How We Won the Kaggle Social Network Challenge , 2011, The 2011 International Joint Conference on Neural Networks.
[35] Wei Zhang,et al. Combining Multiple Features for Image Popularity Prediction in Social Media , 2017, ACM Multimedia.
[36] Meng Zhang,et al. Multi-feature Fusion for Predicting Social Media Popularity , 2017, ACM Multimedia.
[37] Jure Leskovec,et al. node2vec: Scalable Feature Learning for Networks , 2016, KDD.
[38] Yiqun Liu,et al. Predicting the popularity of web 2.0 items based on user comments , 2014, SIGIR.
[39] M. Schedl. Analyzing the Potential of Microblogs for Spatio-Temporal Popularity Estimation of Music Artists , 2011 .
[40] Ioannis Pitas. Graph-Based Social Media Analysis , 2015 .
[41] Subhash C. Kak,et al. A Survey of Prediction Using Social Media , 2012, ArXiv.
[42] Mathieu Bastian,et al. Gephi: An Open Source Software for Exploring and Manipulating Networks , 2009, ICWSM.
[43] Daegon Cho,et al. Cannibalizing or Complementing?. The Impact of Online Streaming Services on Music Record Sales , 2016 .
[44] Miki Haseyama,et al. Extracting Hierarchical Structure of Web Video Groups Based on Sentiment-Aware Signed Network Analysis , 2017, IEEE Access.
[45] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[46] Yue Mao,et al. Predicting the Popularity of Online Videos via Deep Neural Networks , 2017, ArXiv.
[47] Chun Wang,et al. Social Media Prediction Based on Residual Learning and Random Forest , 2017, ACM Multimedia.