Deep multi-task learning with relational attention for business success prediction-Reference-Cited by-同舟云学术

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Deep multi-task learning with relational attention for business success prediction

Published:2021-02 Issue: Volume:110 Page:107469
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zhao Jiejie^ORCID,Du Bowen,Sun Leilei,Lv Weifeng,Liu Yanchi,Xiong Hui

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference59 articles.

1. Demand driven store site selection via multiple spatial-temporal data;Xu,2016

2. Geo-spotting: mining online location-based services for optimal retail store placement;Karamshuk,2013

3. Mining business opportunities from location-based social networks;Zhao,2017

4. Where to place your next restaurant?: Optimal restaurant placement via leveraging user-generated reviews;Wang,2016

5. TEM: tree-enhanced embedding model for explainable recommendation;Wang,2018

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