Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Wachirawut Thamviset"'
Publikováno v:
IEEE Access, Vol 12, Pp 105831-105849 (2024)
Social and sequential recommendations employing bidirectional attention architecture represent a notable advancement in deep learning, enhancing recommender system performance. This breakthrough facilitates the representation learning of interactions
Externí odkaz:
https://doaj.org/article/2bedcd019a2c4ceead4ec58a63cbe948
Publikováno v:
IEEE Access, Vol 12, Pp 6879-6899 (2024)
Numerous research efforts are endeavoring to boost the performance of dynamic user preferences and next-item recommendations, which are pivotal tasks within sequential recommender systems. It is a challenging research problem in recommender systems.
Externí odkaz:
https://doaj.org/article/69b2ea35e5f64f74a0410cf955406fa5
Autor:
Wachirawut Thamviset
Publikováno v:
2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE).
Publikováno v:
2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE).
Autor:
Supranee Khamsom, Wachirawut Thamviset
Publikováno v:
Recent Advances in Information and Communication Technology 2020 ISBN: 9783030440435
We present herein a solution to problems in data integration, which is a process of consolidating similar information from different sources, in which multiple data sources ensure data unification. One concept value may have different name values use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42f83d63df56ab234d51cc6fb1f4b935
https://doi.org/10.1007/978-3-030-44044-2_13
https://doi.org/10.1007/978-3-030-44044-2_13
Publikováno v:
Recent Advances in Information and Communication Technology 2020 ISBN: 9783030440435
Currently, many product sellers like to advertise their supplement products on web. However, there are some ads showing messages to deceive consumers. This work presents a system to extraction supplement products advertisement data from web and class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d5ae71285f1a5098f7e902d31d6e9e8
https://doi.org/10.1007/978-3-030-44044-2_4
https://doi.org/10.1007/978-3-030-44044-2_4
Autor:
Sararat Wannajam, Wachirawut Thamviset
Publikováno v:
Recent Advances in Information and Communication Technology 2018 ISBN: 9783319936918
This research aims to develop a method using an Electroencephalography (EEG) based brain-computer interface technology for enabling people to answer a true/false question by imagining to an answer in their mind; especially, for people with disabiliti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2785576cc43c061d2da194efd3d3fbe0
https://doi.org/10.1007/978-3-319-93692-5_19
https://doi.org/10.1007/978-3-319-93692-5_19
Publikováno v:
World Wide Web. 17:1109-1139
In this paper, we propose an information extraction (IE) system for extracting data records from semi-structured documents on the Deep Web using a promising proposed technique, called Repetitive Subject Pattern. This technique was based on the hypoth
Publikováno v:
2014 International Computer Science and Engineering Conference (ICSEC).
Publikováno v:
2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.
Data records on a dynamic web page are often generated from databases with fixed templates or layouts by server-side scripts. Generally, each data record on the web page has a subject item that can be used to identify a data record. This paper report