Correction: Huang et al. An Attention-Based Recommender System to Predict Contextual Intent Based on Choice Histories across and within Sessions. <i>Appl. Sci.</i> 2018, <i>8</i>, 2426
We, the authors, wish to make the following corrections to our paper [1] [...]
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MDPI AG
2021-07-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/11/14/6633 |
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author | Ruo Huang Shelby McIntyre Meina Song Haihong E Zhonghong Ou |
author_facet | Ruo Huang Shelby McIntyre Meina Song Haihong E Zhonghong Ou |
author_sort | Ruo Huang |
collection | DOAJ |
description | We, the authors, wish to make the following corrections to our paper [1] [...] |
first_indexed | 2024-03-10T09:45:58Z |
format | Article |
id | doaj.art-7213038b815c4e48a34da4b27268cd3b |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T09:45:58Z |
publishDate | 2021-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-7213038b815c4e48a34da4b27268cd3b2023-11-22T03:13:04ZengMDPI AGApplied Sciences2076-34172021-07-011114663310.3390/app11146633Correction: Huang et al. An Attention-Based Recommender System to Predict Contextual Intent Based on Choice Histories across and within Sessions. <i>Appl. Sci.</i> 2018, <i>8</i>, 2426Ruo Huang0Shelby McIntyre1Meina Song2Haihong E3Zhonghong Ou4School of Computer Science, Beijing University of Posts & Telecommunications, Beijing 100876, ChinaLeavey School of Business, Santa Clara University, Santa Clara, CA 95053, USASchool of Computer Science, Beijing University of Posts & Telecommunications, Beijing 100876, ChinaSchool of Computer Science, Beijing University of Posts & Telecommunications, Beijing 100876, ChinaSchool of Computer Science, Beijing University of Posts & Telecommunications, Beijing 100876, ChinaWe, the authors, wish to make the following corrections to our paper [1] [...]https://www.mdpi.com/2076-3417/11/14/6633n/a |
spellingShingle | Ruo Huang Shelby McIntyre Meina Song Haihong E Zhonghong Ou Correction: Huang et al. An Attention-Based Recommender System to Predict Contextual Intent Based on Choice Histories across and within Sessions. <i>Appl. Sci.</i> 2018, <i>8</i>, 2426 Applied Sciences n/a |
title | Correction: Huang et al. An Attention-Based Recommender System to Predict Contextual Intent Based on Choice Histories across and within Sessions. <i>Appl. Sci.</i> 2018, <i>8</i>, 2426 |
title_full | Correction: Huang et al. An Attention-Based Recommender System to Predict Contextual Intent Based on Choice Histories across and within Sessions. <i>Appl. Sci.</i> 2018, <i>8</i>, 2426 |
title_fullStr | Correction: Huang et al. An Attention-Based Recommender System to Predict Contextual Intent Based on Choice Histories across and within Sessions. <i>Appl. Sci.</i> 2018, <i>8</i>, 2426 |
title_full_unstemmed | Correction: Huang et al. An Attention-Based Recommender System to Predict Contextual Intent Based on Choice Histories across and within Sessions. <i>Appl. Sci.</i> 2018, <i>8</i>, 2426 |
title_short | Correction: Huang et al. An Attention-Based Recommender System to Predict Contextual Intent Based on Choice Histories across and within Sessions. <i>Appl. Sci.</i> 2018, <i>8</i>, 2426 |
title_sort | correction huang et al an attention based recommender system to predict contextual intent based on choice histories across and within sessions i appl sci i 2018 i 8 i 2426 |
topic | n/a |
url | https://www.mdpi.com/2076-3417/11/14/6633 |
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