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http://bura.brunel.ac.uk/handle/2438/15408
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DC Field | Value | Language |
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dc.contributor.author | Burlutskiy, N | - |
dc.contributor.author | Petridis, M | - |
dc.contributor.author | Fish, A | - |
dc.contributor.author | Chernov, A | - |
dc.contributor.author | Ali, N | - |
dc.coverage.spatial | Cambridge | - |
dc.date.accessioned | 2017-11-09T12:38:10Z | - |
dc.date.available | 2017-11-09T12:38:10Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | International Conference on Innovative Techniques and Applications of Artificial Intelligence,pp. 135 - 149, (2017) | en_US |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/15408 | - |
dc.description.abstract | An investigation on how to produce a fast and accurate prediction of user behaviour on the Web is conducted. First, the problem of predicting user behaviour as a classification task is formulated and then the main problems of such real-time predictions are specified: the accuracy and time complexity of the prediction. Second, a method for comparison of online and batch (offline) algorithms used for user behaviour prediction is proposed. Last, the performance of these algorithms using the data from a popular question and answer platform, Stack Overflow, is empirically explored. It is demonstrated that a simple online learning algorithm outperforms state-of-the-art batch algorithms and performs as well as a deep learning algorithm, Deep Belief Networks. The proposed method for comparison of online and offline algorithms as well as the provided experimental evidence can be used for choosing a machine learning set-up for predicting user behaviour on the Web in scenarios where the accuracy and the time performance are of main concern. | en_US |
dc.format.extent | 135 - 149 | - |
dc.language.iso | en | en_US |
dc.source | International Conference on Innovative Techniques and Applications of Artificial Intelligence | - |
dc.source | International Conference on Innovative Techniques and Applications of Artificial Intelligence | - |
dc.title | An Investigation on Online Versus Batch Learning in Predicting User Behaviour | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/978-3-319-47175-4_9 | - |
pubs.finish-date | 2016-12-15 | - |
pubs.finish-date | 2016-12-15 | - |
pubs.publication-status | Published | - |
pubs.start-date | 2016-12-13 | - |
pubs.start-date | 2016-12-13 | - |
Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
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Fulltext.pdf | 153.73 kB | Adobe PDF | View/Open |
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