Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Noor Ifada"'
Autor:
Arik Kurniawati, Eko Mulyanto Yuniarno, Yoyon Kusnendar Suprapto, Noor Ifada, Nur Ikhsan Soewidiatmaka
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110116- (2024)
The Javanese gamelan notation dataset comprises Javanese gamelan gendhing (song) notations for various gamelan instruments. This dataset includes 35 songs categorized into 7 song structures, which are similar to genres in modern music. Each song in t
Externí odkaz:
https://doaj.org/article/40c9215809c34bd69bb9b77c0bfd8640
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109035- (2023)
MadureseSet is a digitized version of the physical document of Kamus Lengkap Bahasa Madura-Indonesia (The Complete Dictionary of Madurese-Indonesian). It stores the list of lemmata in Madurese, i.e., 17809 basic lemmata and 53722 substitution lemmata
Externí odkaz:
https://doaj.org/article/56c780ab330e4d71a5d6a12efab36811
Publikováno v:
Rekayasa, Vol 13, Iss 3, Pp 234-239 (2020)
A multi-criteria collaborative filtering recommendation system allows its users to rate items based on several criteria. Users instinctively have different tendencies in rating items that some of them are quite generous while others tend to be pretty
Externí odkaz:
https://doaj.org/article/4c9256dd658640c585ff1bb9ffb61856
Publikováno v:
Rekayasa, Vol 12, Iss 2, Pp 78-84 (2019)
This paper comprehensively investigates and compares the performance of various multi-criteria based item recommendation methods. The development of the methods consists of three main phases: predicting rating per criterion; aggregating rating predic
Externí odkaz:
https://doaj.org/article/6247b383abfb4d8f875fa8cc069f92b3
Publikováno v:
Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, Vol 10, Iss 1 (2019)
The Collaborative Filtering (CF) widely used in Recommendation System commonly suffers the sparsity issue since the unobserved rating entries usually over dominance the observed ones. A clustering technique is an alternative solution that can solve t
Externí odkaz:
https://doaj.org/article/9294c63788dd4ce08736e5f2f177467a
Publikováno v:
2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16250fea3b1c1e443e806f492ac6f98c
https://doi.org/10.1109/cenim56801.2022.10037277
https://doi.org/10.1109/cenim56801.2022.10037277
Publikováno v:
2022 International Conference of Science and Information Technology in Smart Administration (ICSINTESA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de9842bd63e6ac3bd976ba4f91422464
https://doi.org/10.1109/icsintesa56431.2022.10041470
https://doi.org/10.1109/icsintesa56431.2022.10041470
Autor:
Noor Ifada, Richi Nayak
Publikováno v:
International Journal of Intelligent Engineering and Systems. 14:387-399
The tag-based recommendation systems that are built based on tensor models commonly suffer from the data sparsity problem. In recent years, various weighted-learning approaches have been proposed to tackle such a problem. The approaches can be catego
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac167ceea3ffbd4319e87dda1d72953b
https://doi.org/10.22266/ijies2021.0228.36
https://doi.org/10.22266/ijies2021.0228.36
Publikováno v:
Rekayasa, Vol 13, Iss 3, Pp 234-239 (2020)
A multi-criteria collaborative filtering recommendation system allows its users to rate items based on several criteria. Users instinctively have different tendencies in rating items that some of them are quite generous while others tend to be pretty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daf745d9d51c8809e35019e3a7c647eb
https://journal.trunojoyo.ac.id/rekayasa/article/view/8545
https://journal.trunojoyo.ac.id/rekayasa/article/view/8545
Publikováno v:
SIET
This paper develops a method that implements a proposed user-based normalization multi-criteria rating approach for the hotel recommendation system. The inspirations come from two main reasons. First, data normalization is a common problem in the mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90bbd591f7332fb54d0ecf60dc7b6b1b
https://doi.org/10.1145/3479645.3479678
https://doi.org/10.1145/3479645.3479678