User-to-User Matching Services through Prediction of Mutual Satisfaction Based on Deep Neural Network


Jinah Kim, Nammee Moon, Journal of Information Processing Systems Vol. 18, No. 1, pp. 75-88, Feb. 2022  

10.3745/JIPS.04.0234
Keywords: Convolutional Neural Network (CNN), Deep Learning, Deep neural network (DNN), Matching Service, Recommender Service
Fulltext:

Abstract

With the development of the sharing economy, existing recommender services are changing from user–item recommendations to user–user recommendations. The most important consideration is that all users should have the best possible satisfaction. To achieve this outcome, the matching service adds information between users and items necessary for the existing recommender service and information between users, so higher-level data mining is required. To this end, this paper proposes a user-to-user matching service (UTU-MS) employing the prediction of mutual satisfaction based on learning. Users were divided into consumers and suppliers, and the properties considered for recommendations were set by filtering and weighting. Based on this process, we implemented a convolutional neural network (CNN)–deep neural network (DNN)-based model that can predict each supplier’s satisfaction from the consumer perspective and each consumer’s satisfaction from the supplier perspective. After deriving the final mutual satisfaction using the predicted satisfaction, a top recommendation list is recommended to all users. The proposed model was applied to match guests with hosts using Airbnb data, which is a representative sharing economy platform. The proposed model is meaningful in that it has been optimized for the sharing economy and recommendations that reflect user-specific priorities.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.




Cite this article
[APA Style]
Jinah Kim and Nammee Moon (2022). User-to-User Matching Services through Prediction of Mutual Satisfaction Based on Deep Neural Network. Journal of Information Processing Systems, 18(1), 75-88. DOI: 10.3745/JIPS.04.0234.

[IEEE Style]
J. Kim and N. Moon, "User-to-User Matching Services through Prediction of Mutual Satisfaction Based on Deep Neural Network," Journal of Information Processing Systems, vol. 18, no. 1, pp. 75-88, 2022. DOI: 10.3745/JIPS.04.0234.

[ACM Style]
Jinah Kim and Nammee Moon. 2022. User-to-User Matching Services through Prediction of Mutual Satisfaction Based on Deep Neural Network. Journal of Information Processing Systems, 18, 1, (2022), 75-88. DOI: 10.3745/JIPS.04.0234.