Journal article
TGVx: Dynamic Personalized POI Deep Recommendation Mode
INFORMS journal on computing, Vol.35(4), pp.786-796
07/2023
DOI: 10.1287/ijoc.2023.1286.cd
Abstract
The goal of this software is to facilitate readers to reproduce the experimental results in this paper. Our experiments verify the effectiveness of the TGVx model in both local and out-of-town recommendation scenarios.
Details
- Title: Subtitle
- TGVx: Dynamic Personalized POI Deep Recommendation Mode
- Creators
- Xiao-Jun Wang - Dongbei University of Finance and EconomicsTao Liu - Liaoning University of TechnologyWeiguo Fan - University of Iowa
- Resource Type
- Journal article
- Publication Details
- INFORMS journal on computing, Vol.35(4), pp.786-796
- DOI
- 10.1287/ijoc.2023.1286.cd
- ISSN
- 1091-9856
- eISSN
- 1526-5528
- Language
- English
- Date published
- 07/2023
- Academic Unit
- Business Analytics
- Record Identifier
- 9984848110402771
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