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Displaying 1-4 out of 4 total
SMS Spam Detection Using Noncontent Features
Found in: IEEE Intelligent Systems
By Qian Xu,Evan Wei Xiang,Qiang Yang,Jiachun Du,Jieping Zhong
Issue Date:November 2012
pp. 44-51
Short Message Service text messages are indispensable, but they face a serious problem from spamming. This service-side solution uses graph data mining to distinguish spammers from nonspammers and detect spam without checking a message's contents.
 
Bridging Domains Using World Wide Knowledge for Transfer Learning
Found in: IEEE Transactions on Knowledge and Data Engineering
By Evan Wei Xiang, Bin Cao, Derek Hao Hu, Qiang Yang
Issue Date:June 2010
pp. 770-783
A major problem of classification learning is the lack of ground-truth labeled data. It is usually expensive to label new data instances for training a model. To solve this problem, domain adaptation in transfer learning has been proposed to classify targe...
 
Constrained collective matrix factorization
Found in: Proceedings of the sixth ACM conference on Recommender systems (RecSys '12)
By Evan Wei Xiang, Rong Pan, Yu-Jia Huang
Issue Date:September 2012
pp. 237-240
Transfer learning for collaborative filtering (TLCF) aims to solve the sparsity problem by transferring rating knowledge across multiple domains. Taking domain difference into ac- count, one of the issues in cross-domain collaborative filtering is to selec...
     
PQC: personalized query classification
Found in: Proceeding of the 18th ACM conference on Information and knowledge management (CIKM '09)
By Bin Cao, Derek Hao Hu, Evan Wei Xiang, Jian-Tao Sun, Qiang Yang, Zheng Chen
Issue Date:November 2009
pp. 1217-1226
Query classification (QC) is a task that aims to classify Web queries into topical categories. Since queries are usually short in length and ambiguous, the same query may need to be classified to different categories according to different people's perspec...
     
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