journal article·2021-07-19Open access

Correction: Huang et al. An Attention-Based Recommender System to Predict Contextual Intent Based on Choice Histories across and within Sessions. Appl. Sci. 2018, 8, 2426

Ruo Huang, Shelby McIntyre, Meina Song, Haihong E, Zhonghong Ou

Applied Sciences· Volume 11· Issue 14

Abstract

We, the authors, wish to make the following corrections to our paper [1] [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short

Research context

OpenAlex topics: Recommender Systems and Techniques · Technology Adoption and User Behaviour · Mental Health Research Topics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Computer Science, Beijing University of Posts & Telecommunications, Beijing 100876, China

Leavey School of Business, Santa Clara University, Santa Clara, CA 95053, USA

Funding

National Natural Science Foundation of China

References (1)

Show source-provided references
1. Huang, R., McIntyre, S., Song, M., E, H., and Ou, Z. (2018). An Attention-Based Recommender System to Predict Contextual Intent Based on Choice Histories across and within Sessions. Appl. Sci., 8.10.3390/app8122426 ↗