44 citations · 258 across the 13 of their papers we have counts for
8 papers · 1 filter
JobComposer: Career Path Optimization via Multicriteria Utility Learning
Richard J. Oentaryo, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim +1
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 profe…
Talent Flow Analytics in Online Professional Network
Richard J. Oentaryo, Ee-Peng Lim, Xavier Jayaraj Siddarth Ashok +3
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…
On Analyzing Job Hop Behavior and Talent Flow Networks
Richard J. Oentaryo, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim +1
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,…
A Business Zone Recommender System Based on Facebook and Urban Planning Data
Jovian Lin, Richard J. Oentaryo, Ee-Peng Lim +4
We present ZoneRec---a zone recommendation system for physical businesses in an urban city, which uses both public business data from Facebook and urban planning data. The system c…
Where is the Goldmine? Finding Promising Business Locations through Facebook Data Analytics
Jovian Lin, Richard Oentaryo, Ee-Peng Lim +3
If you were to open your own cafe, would you not want to effortlessly identify the most suitable location to set up your shop? Choosing an optimal physical location is a critical d…
On Profiling Bots in Social Media
Richard Jayadi Oentaryo, Arinto Murdopo, Philips Kokoh Prasetyo +1
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, us…
Collective Semi-Supervised Learning for User Profiling in Social Media
Richard J. Oentaryo, Ee-Peng Lim, Freddy Chong Tat Chua +2
The abundance of user-generated data in social media has incentivized the development of methods to infer the latent attributes of users, which are crucially useful for personaliza…
Using Linear Dynamical Topic Model for Inferring Temporal Social Correlation in Latent Space
Freddy Chong Tat Chua, Richard J. Oentaryo, Ee-Peng Lim
The abundance of online user data has led to a surge of interests in understanding the dynamics of social relationships using computational methods. Utilizing users' items adoption…