International Journal for Applied Information Management
Vol. 2 No. 2 (2022): Regular Issue: July 2022

Intelligent POIs Recommender System Based on Time Series Analysis with Seasonal Adjustment

Meng-Kuan Chen (a:1:{s:5:"en_US"
s:26:"Tamkang University, Taiwan"
})
Hsin-Wen Wei (Tamkang University, Taiwan)
Wei-Tsong Lee (Tamkang University, Taiwan)

Article Info

Publish Date
17 Dec 2021

Abstract

Recommender systems have been applied on a variety of applications including movies, music, news, books, research articles, search queries, and travel information. Instead of searching travel information from the extremely huge amount of travel data, a personalized travel recommender system is desired. However, an inappropriate travel recommendation may result from a wrong season, even if it is already a correct location. The current recommender systems from time to time make an inappropriate commendation without considering the seasonal factor. In order to resolve the discrepancy, the seasonal factor should have been taken into consideration when making a good travel recommender system. Therefore, this study has taken the trend analysis, time series, and seasonal factor into considerations to cope with the above mentioned discrepancy and to make the travel recommender system renders a better fit.

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Journal Info
International Journal for Applied Information Management
Website

Abbrev

ijaim

Publisher

Bright Institute

Subject

Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

Description

Journal menerbitkan penelitian tentang semua aspek manajemen informasi. Informasi dilihat di sini secara luas untuk mencakup tidak hanya produk/layanan dan proses tetapi juga pasar, dan organisasi serta informasi sosial. Ini termasuk studi tentang proses secara keseluruhan atau tahap individu, ...