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WSDM
2016
ACM

Multi-view Machines

8 years 6 months ago
Multi-view Machines
With rapidly growing amount of data available on the web, it becomes increasingly likely to obtain data from different perspectives for multi-view learning. Some successive examples of web applications include recommendation and target advertising. Specifically, to predict whether a user will click an ad in a query context, there are available features extracted from user profile, ad information and query description, and each of them can only capture part of the task signals from a particular aspect/view. Different views provide complementary information to learn a practical model for these applications. Therefore, an effective integration of the multi-view information is critical to facilitate the learning performance. In this paper, we propose a general predictor, named multiview machines (MVMs), that can effectively explore the full-order interactions between features from multiple views. A joint factorization is applied for the interaction parameters which makes parameter e...
Bokai Cao, Hucheng Zhou, Guoqiang Li, Philip S. Yu
Added 12 Apr 2016
Updated 12 Apr 2016
Type Journal
Year 2016
Where WSDM
Authors Bokai Cao, Hucheng Zhou, Guoqiang Li, Philip S. Yu
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