Predicting response in mobile advertising with Hierarchical Importance-Aware Factorization Machine
Mobile advertising has recently seen dramatic growth, fueled by the global proliferation of mobile phones and devices. The task of predicting ad response is thus crucial for maximizing business revenue. However, ad response data change dynamically over time, and are subject to cold-start situations...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2014
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/1979 https://ink.library.smu.edu.sg/context/sis_research/article/2978/viewcontent/WSDM14.pdf |
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| Institution: | Singapore Management University |
| Language: | English |