Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Chieh-Yuan Tsai"'
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9271 (2024)
Tourism has become one of the world’s largest service industries. Due to the rapid development of social media, more people like self-guided tours than package itineraries planned by travel agencies. Therefore, how to develop itinerary recommendati
Externí odkaz:
https://doaj.org/article/a29b1aaa1a4146c683c004e60237250a
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30053- (2024)
Identifying valuable information within the extensive texts documented in natural language presents a significant challenge in various disciplines. Named Entity Recognition (NER), as one of the critical technologies in text data processing and mining
Externí odkaz:
https://doaj.org/article/69978ae87f7f410d80b0e5acf619ed28
Publikováno v:
Applied Sciences, Vol 11, Iss 20, p 9667 (2021)
Research regarding collaborative filtering recommenders has grown fast lately. However, little attention has been paid to discuss how the input data quality impacts the result. Indeed, some review-rating pairs that a user gave to an item are inconsis
Externí odkaz:
https://doaj.org/article/6231fa60571c4bdebb3d8f72b1d9723c
Publikováno v:
Applied Sciences, Vol 11, Iss 9, p 4243 (2021)
Nowadays, recommendation systems have been successfully adopted in variant online services such as e-commerce, news, and social media. The recommenders provide users a convenient and efficient way to find their exciting items and increase service pro
Externí odkaz:
https://doaj.org/article/a682e9c7d41c44a9869dd1bd8f734a8f
Publikováno v:
Applied Sciences, Vol 9, Iss 8, p 1581 (2019)
A good product-to-shelf assignment strategy not only helps customers easily find desired product items but also increases retailer profit. Recent research has attempted to solve product-to-shelf problems using product association analysis, a powerful
Externí odkaz:
https://doaj.org/article/1236de82c4414155901dcd4237b69b30
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Applied Sciences, Vol 11, Iss 9667, p 9667 (2021)
Applied Sciences
Volume 11
Issue 20
Applied Sciences
Volume 11
Issue 20
Research regarding collaborative filtering recommenders has grown fast lately. However, little attention has been paid to discuss how the input data quality impacts the result. Indeed, some review-rating pairs that a user gave to an item are inconsis
Publikováno v:
Applied Sciences
Volume 11
Issue 9
Applied Sciences, Vol 11, Iss 4243, p 4243 (2021)
Volume 11
Issue 9
Applied Sciences, Vol 11, Iss 4243, p 4243 (2021)
Nowadays, recommendation systems have been successfully adopted in variant online services such as e-commerce, news, and social media. The recommenders provide users a convenient and efficient way to find their exciting items and increase service pro
Publikováno v:
Applied Soft Computing. 67:299-308
Cluster analysis is a very useful data mining approach. Although many clustering algorithms have been proposed, it is very difficult to find a clustering method which is suitable for all types of datasets. This study proposes an evolutionary-based cl
Publikováno v:
Computers & Industrial Engineering. 106:192-204
A shopping behavior prediction (SBP) system is proposed.SBP system is designed for mobile commerce environment.High-utility mobile sequential patterns are used to model customer behavior.Store-to-store (StoS) similarity and item-to-item (ItoI) simila