Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Philips Kokoh"'
Autor:
Richard J. Oentaryo, Ee-Peng Lim, Xavier Jayaraj Siddarth Ashok, Philips Kokoh Prasetyo, Koon Han Ong, Zi Quan Lau
Publikováno v:
Data Science and Engineering, Vol 3, Iss 3, Pp 199-220 (2018)
Abstract Analyzing job hopping behavior is important for understanding job preference and career progression of working individuals. When analyzed at the workforce population level, job hop analysis helps to gain insights of talent flow among differe
Externí odkaz:
https://doaj.org/article/2a9970cb8dff44108f90f4d9139e5efc
Recent research has identified a few design flaws in popular mobile health (mHealth) applications for promoting healthy eating lifestyle, such as mobile food journals. These include tediousness of manual food logging, inadequate food database coverag
Externí odkaz:
http://arxiv.org/abs/2009.05704
Autor:
Lee, Helena H., Shu, Ke, Achananuparp, Palakorn, Prasetyo, Philips Kokoh, Liu, Yue, Lim, Ee-Peng, Varshney, Lav R.
Interests in the automatic generation of cooking recipes have been growing steadily over the past few years thanks to a large amount of online cooking recipes. We present RecipeGPT, a novel online recipe generation and evaluation system. The system p
Externí odkaz:
http://arxiv.org/abs/2003.02498
User identity linkage across online social networks is an emerging research topic that has attracted attention in recent years. Many user identity linkage methods have been proposed so far and most of them utilize user profile, content and network in
Externí odkaz:
http://arxiv.org/abs/1902.08737
Publikováno v:
ECML-PKDD Data Science for Human Capital Management 2018
With online professional network platforms (OPNs, e.g., LinkedIn, Xing, etc.) becoming popular on the web, people are now turning to these platforms to create and share their professional profiles, to connect with others who share similar professiona
Externí odkaz:
http://arxiv.org/abs/1809.01062
Autor:
Oentaryo, Richard J., Lim, Ee-Peng, Ashok, Xavier Jayaraj Siddarth, Prasetyo, Philips Kokoh, Ong, Koon Han, Lau, Zi Quan
Analyzing job hopping behavior is important for understanding job preference and career progression of working individuals. When analyzed at the workforce population level, job hop analysis helps to gain insights of talent flow among different jobs a
Externí odkaz:
http://arxiv.org/abs/1807.09127
Publikováno v:
ICDM Data Science for Human Capital Management 2017
Analyzing job hopping behavior is important for the understanding of job preference and career progression of working individuals. When analyzed at the workforce population level, job hop analysis helps to gain insights of talent flow and organizatio
Externí odkaz:
http://arxiv.org/abs/1711.05887
The popularity of social media platforms such as Twitter has led to the proliferation of automated bots, creating both opportunities and challenges in information dissemination, user engagements, and quality of services. Past works on profiling bots
Externí odkaz:
http://arxiv.org/abs/1609.00543
Autor:
Philips Kokoh, 關松堅
97
The fact that shows the large number of non-native English speaker over native English speaker and the non-native English speaker difficulty to achieve native-level proficiency raises the needs of automatic proofing tools for ESL. Much previo
The fact that shows the large number of non-native English speaker over native English speaker and the non-native English speaker difficulty to achieve native-level proficiency raises the needs of automatic proofing tools for ESL. Much previo
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/16877950893372315728
Publikováno v:
In Information Processing and Management July 2013 49(4):773-791