| Addressing cold-start in app recommendation: latent user models constructed from twitter followers J Lin, K Sugiyama, MY Kan, TS Chua Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 197 | 2013 |
| New and improved: modeling versions to improve app recommendation J Lin, K Sugiyama, MY Kan, TS Chua Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 64 | 2014 |
| Where is the goldmine? Finding promising business locations through Facebook data analytics J Lin, R Oentaryo, EP Lim, C Vu, A Vu, A Kwee Proceedings of the 27th ACM Conference on Hypertext and Social Media, 93-102, 2016 | 28 | 2016 |
| A business zone recommender system based on Facebook and urban planning data J Lin, RJ Oentaryo, EP Lim, C Vu, A Vu, AT Kwee, PK Prasetyo European Conference on Information Retrieval, 641-647, 2016 | 15 | 2016 |
| Scrutinizing mobile app recommendation: identifying important app-related indicators J Lin, K Sugiyama, MY Kan, TS Chua Asia Information Retrieval Symposium, 197-211, 2016 | 1 | 2016 |
Tat-Seng ChuaNational University of SingaporeVerifierad e-postadress på comp.nus.edu.sg
