<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Industrial tourism is an important way for reuse of industrial wasteland. However, in China, reuse of industrial wasteland remain is in the exploratory practice stage, with problems such as lack of systematic planning, homogeneous strategies and inaccurate positioning of target customers. In this paper, we propose a method to reuse industrial wasteland by the combination of experience economy and recommendation algorithm. The industrial tourism product development direction is defined in the planning and design stage. The most relevant tourist-related features are extracted by establishing user profiles and experience economy-based questionnaires. The user-profile-based recommendation system generates a list of recommended tourist attractions. Finally, the recommendation-user-tag-project (R-UTP) algorithm is proposed and experimentally compared with UserkNN and ItemkNN algorithms. The R-UPT algorithm exhibits higher accuracy and has obvious advantages on recall ratio and novelty.</p>
</abstract>

Industrial tourism is an important way for reuse of industrial wasteland. However, in China, reuse of industrial wasteland remain is in the exploratory practice stage, with problems such as lack of systematic planning, homogeneous strategies and inaccurate positioning of target customers. In this paper, we propose a method to reuse industrial wasteland by the combination of experience economy and recommendation algorithm. The industrial tourism product development direction is defined in the planning and design stage. The most relevant tourist-related features are extracted by establishing user profiles and experience economy-based questionnaires. The user-profile-based recommendation system generates a list of recommended tourist attractions. Finally, the recommendation-user-tag-project (R-UTP) algorithm is proposed and experimentally compared with UserkNN and ItemkNN algorithms. The R-UPT algorithm exhibits higher accuracy and has obvious advantages on recall ratio and novelty.

Application of experience economy and recommendation algorithm in tourism reuse of industrial wasteland

Management Science and Engineering School

Hebei University of Economics and Business

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Industrial tourism is an important way for reuse of industrial wasteland. However, in China, reuse of industrial wasteland remain is in the exploratory...

Application of experience economy and recommendation algorithm in tourism reuse of industrial wasteland

Pubblicato online: 29 ott 2021

Pagine: 227 - 238

Ricevuto: 22 mar 2021

Accettato: 29 giu 2021

DOI: https://doi.org/10.2478/amns.2021.2.00039

Parole chiave
industrial and mining wasteland reclamation, industrial tourism, user profile, recommender system

© 2021 Yanbin Wu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Application of experience economy and recommendation algorithm in tourism reuse of industrial wasteland

Pubblicato online: 29 ott 2021

Pagine: 227 - 238

Ricevuto: 22 mar 2021

Accettato: 29 giu 2021

DOI: https://doi.org/10.2478/amns.2021.2.00039

Parole chiaveindustrial and mining wasteland reclamation, industrial tourism, user profile, recommender system

© 2021 Yanbin Wu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
industrial and mining wasteland reclamation, industrial tourism, user profile, recommender system