A Scalable Data Chunk Similarity Based Compression Approach for Efficient Big Sensing Data Processing on Cloud
A Unified Framework for Metric Transfer Learning
Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach
Data-Driven Answer Selection in Community QA Systems
Efficient Top-k Dominating Computation on Massive Data
Keyword Search over Distributed Graphs with Compressed Signature
Modeling and Learning Distributed Word Representation with Metadata for Question Retrieval
Modeling the Evolution of Users’ Preferences and Social Links in Social Networking Services
Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model
Online Multi-Task Learning Framework for Ensemble Forecasting
Probase+: Inferring Missing Links in Conceptual Taxonomies
RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem
SAP: Improving Continuous Top-K Queries Over Streaming Data
Search Rank Fraud and Malware Detection in Google Play
User Vitality Ranking and Prediction in Social Networking Services: A Dynamic Network Perspective