Zobrazeno 1 - 10
of 246
pro vyhledávání: '"Dik Lun Lee"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:4397-4404
Financial assets exhibit dependence structures, i.e., movements of their prices or returns show various correlations. Knowledge of assets’ price dependencies can help investors to create a diversified portfolio, aiming to reduce portfolio risk due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b505de69c0dda92a17872ef1f2d215ee
https://doi.org/10.1609/aaai.v36i4.20361
https://doi.org/10.1609/aaai.v36i4.20361
Financial assets exhibit dependence structures and knowing the dependencies of the assets can help investors to create a diversified portfolio that can reduce portfolio risk due to the high volatility of the financial market. Since asset dependency c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df2fe4e786152938937c8e72ac731731
https://doi.org/10.21203/rs.3.rs-2358227/v1
https://doi.org/10.21203/rs.3.rs-2358227/v1
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4f168f8eb2e025b70cf35c53ca61614
https://doi.org/10.1145/3511808.3557107
https://doi.org/10.1145/3511808.3557107
Autor:
Baihua Zheng1 bhzheng@smu.edu.sg, Dik Lun Lee2 dlee@cs.ust.hk
Publikováno v:
Communications of the ACM. May2005, Vol. 48 Issue 5, p105-110. 6p. 3 Diagrams.
Publikováno v:
ICDE
In recent years, embedding models based on skip-gram algorithm have been widely applied to real-world recommendation systems (RSs). When designing embedding-based methods for recommendation at Taobao, there are three main challenges: scalability, spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc1261f232e85be1da781105522ad77b
https://doi.org/10.1109/icde48307.2020.00148
https://doi.org/10.1109/icde48307.2020.00148
PageRank has been widely used to measure the authority or the influence of a user in social networks. However, conventional PageRank only makes use of edge-based relations, which represent first-order relations between two connected nodes. It ignores
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe50768fc256e018ce901460bc9af76a
http://arxiv.org/abs/1912.11817
http://arxiv.org/abs/1912.11817
Autor:
Qiwei Chen, Guoliang Kang, Mengmeng Wu, Huan Zhao, Chao Li, Wei Li, Dik Lun Lee, Pipei Huang, Zhiyuan Liu, Yuchi Xu
Publikováno v:
CIKM
Industrial recommender systems have embraced deep learning algorithms for building intelligent systems to make accurate recommendations. At its core, deep learning offers powerful ability for learning representations from data, especially for user an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bce99834d2ee0cbf6a51afe1b43d8c24
http://arxiv.org/abs/1904.08030
http://arxiv.org/abs/1904.08030
Publikováno v:
CIKM
Heterogeneous Information Networks (HIN) has been widely used in recommender systems (RSs). In previous HIN-based RSs, meta-path is used to compute the similarity between users and items. However, existing meta-path based methods only consider first-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::524ca08704134bc142b92948604c9e7b
Publikováno v:
ACM Transactions on Internet Technology. 16:1-23
The semantic network is a form of knowledge that represents various relationships between concepts with ambiguity. The knowledge can be employed to identify semantically related objects. It helps, for example, a recommender system to generate effecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b00c20079a80f078805fa5d9571cf16b
https://doi.org/10.1145/2814568
https://doi.org/10.1145/2814568
Publikováno v:
IEEE transactions on visualization and computer graphics.
As an ensemble model that consists of many independent decision trees, random forests generate predictions by feeding the input to internal trees and summarizing their outputs. The ensemble nature of the model helps random forests outperform any indi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5ff3d24b7b27d53e6b4c5799edead5c
https://pubmed.ncbi.nlm.nih.gov/30188822
https://pubmed.ncbi.nlm.nih.gov/30188822