10.1k citations · 21.9k across the 280 of their papers we have counts for
12 papers · 1 filter
Deriving Latent Social Impulses to Determine Longevous Videos
Qingbo Hu, Guan Wang, Philip S. Yu
Online video websites receive huge amount of videos daily from users all around the world. How to provide valuable recommendations to viewers is an important task for both video we…
Multilabel Consensus Classification
Sihong Xie, Xiangnan Kong, Jing Gao +2
In the era of big data, a large amount of noisy and incomplete data can be collected from multiple sources for prediction tasks. Combining multiple models or data sources helps to…
Predicting Social Links for New Users across Aligned Heterogeneous Social Networks
Jiawei Zhang, Xiangnan Kong, Philip S. Yu
Online social networks have gained great success in recent years and many of them involve multiple kinds of nodes and complex relationships. Among these relationships, social links…
Clustering on Multiple Incomplete Datasets via Collective Kernel Learning
Weixiang Shao, Xiaoxiao Shi, Philip S. Yu
Multiple datasets containing different types of features may be available for a given task. For instance, users' profiles can be used to group users for recommendation systems. In…
HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks
Chuan Shi, Xiangnan Kong, Yue Huang +2
Similarity search is an important function in many applications, which usually focuses on measuring the similarity between objects with the same type. However, in many scenarios, w…
On the Feature Discovery for App Usage Prediction in Smartphones
Zhung-Xun Liao, Shou-Chung Li, Wen-Chih Peng +1
With the increasing number of mobile Apps developed, they are now closely integrated into daily life. In this paper, we develop a framework to predict mobile Apps that are most lik…