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Benjamin Paul Chamberlain

Fashion Outfit Generation for E-commerce


Mar 18, 2019
Elaine M. Bettaney, Stephen R. Hardwick, Odysseas Zisimopoulos, Benjamin Paul Chamberlain

* 9 pages, 9 figures, 4 tables 

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Scalable Hyperbolic Recommender Systems


Feb 22, 2019
Benjamin Paul Chamberlain, Stephen R. Hardwick, David R. Wardrope, Fabon Dzogang, Fabio Daolio, Saúl Vargas

* 11 pages, 8 figures, 2 tables 

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A Recurrent Neural Network Survival Model: Predicting Web User Return Time


Jul 11, 2018
Georg L. Grob, Ângelo Cardoso, C. H. Bryan Liu, Duncan A. Little, Benjamin Paul Chamberlain

* Accepted into ECML PKDD 2018; 8 figures and 1 table 

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Predicting Twitter User Socioeconomic Attributes with Network and Language Information


Apr 11, 2018
Nikolaos Aletras, Benjamin Paul Chamberlain

* Accepted at ACM HT 2018 

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Generalising Random Forest Parameter Optimisation to Include Stability and Cost


Jul 13, 2017
C. H. Bryan Liu, Benjamin Paul Chamberlain, Duncan A. Little, Angelo Cardoso

* Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2017. LNCS vol 10536, pp. 102-113 (2017) 
* To appear in ECML-PKDD 2017 

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Customer Lifetime Value Prediction Using Embeddings


Jul 06, 2017
Benjamin Paul Chamberlain, Angelo Cardoso, C. H. Bryan Liu, Roberto Pagliari, Marc Peter Deisenroth

* Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Pages 1753-1762, 2017 
* 10 pages, 11 figures 

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Neural Embeddings of Graphs in Hyperbolic Space


May 29, 2017
Benjamin Paul Chamberlain, James Clough, Marc Peter Deisenroth

* 13th international workshop on mining and learning from graphs held in conjunction with KDD, 2017 
* 7 pages, 5 figures 

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Probabilistic Inference of Twitter Users' Age based on What They Follow


Feb 24, 2017
Benjamin Paul Chamberlain, Clive Humby, Marc Peter Deisenroth

* 9 pages, 9 figures 

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Real-Time Community Detection in Large Social Networks on a Laptop


Sep 04, 2016
Benjamin Paul Chamberlain, Josh Levy-Kramer, Clive Humby, Marc Peter Deisenroth


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