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Up a levelNumber of items: 4.
Sheil, Humphrey
2019.
Discovering user intent In E-commerce clickstreams.
PhD Thesis,
Cardiff University.
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Sheil, Humphrey, Rana, Omer  ORCID: https://orcid.org/0000-0003-3597-2646 and Reilly, Ronan
2018.
Predicting purchasing intent: Automatic feature learning using recurrent neural networks.
Presented at: 2018 SIGIR Workshop on eCommerce,
Ann Arbor, MI, USA,
12 July 2018.
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Sheil, Humphrey, Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646 and Reilly, Ronan
2018.
Understanding ecommerce clickstreams: a tale of two states.
Presented at: KDD Deep Learning Workshop,
London, UK,
20 August 2018.
Association for Computing Machinery,
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Sheil, Humphrey and Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646
2017.
Classifying and recommending using gradient boosted machines and vector space models.
Presented at: 17th UK Workshop on Computational Intelligence,
Cardiff, Wales, UK,
6-8 September 2017.
Published in: Chao, F, Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 and Zhang, Q eds.
Advances in Computational Intelligence Systems.
Advances in Intelligent Systems and Computing.
Advances in Intelligent Systems and Computing,
, vol.650
Cham:
Springer,
pp. 214-221.
10.1007/978-3-319-66939-7_18
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