Shan et al., 2017 - Google Patents
Optimizing ranking for response prediction via triplet-wise learning from historical feedbackShan et al., 2017
- Document ID
- 12110661563956991499
- Author
- Shan L
- Lin L
- Sun C
- Wang X
- Liu B
- Publication year
- Publication venue
- International Journal of Machine Learning and Cybernetics
External Links
Snippet
In the real-time bidding (RTB) display advertising ecosystem, when receiving a bid request, Demand-side platform (DSP) needs to predict user response on each ad impression and determines whether to bid and calculates the bid price according to its prediction. When …
- 230000004044 response 0 title abstract description 59
Classifications
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- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
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