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] [...]

Bibliographic Details
Main Authors: Ruo Huang, Shelby McIntyre, Meina Song, Haihong E, Zhonghong Ou
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
n/a
Online Access:https://www.mdpi.com/2076-3417/11/14/6633
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spelling doaj-7213038b815c4e48a34da4b27268cd3b2021-07-23T13:30:17ZengMDPI AGApplied Sciences2076-34172021-07-01116633663310.3390/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
collection DOAJ
language English
format Article
sources DOAJ
author Ruo Huang
Shelby McIntyre
Meina Song
Haihong E
Zhonghong Ou
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
author_facet Ruo Huang
Shelby McIntyre
Meina Song
Haihong E
Zhonghong Ou
author_sort Ruo Huang
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_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_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_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
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2021-07-01
description We, the authors, wish to make the following corrections to our paper [1] [...]
topic n/a
url https://www.mdpi.com/2076-3417/11/14/6633
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