SYSTEMS AND METHODS FOR AN ATTENTION-BASED FRAMEWORK FOR CLICK THROUGH RATE (CTR) ESTIMATION BETWEEN QUERY AND BIDWORDS
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Jul 11, 2016
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Jul 11, 2016
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The present invention relates generally to an attention-based model framework for click through rate (CTR) prediction between a search query and bidword. Aspects of the present invention include using vector representation of a search query and a bidword. In embodiments, an attention-based model is used to predict CTR for a search query-bidword pair. In embodiments, a bidword with a highest CTR prediction for a given query is used to place an advertisement. Thus, a bidword may be used even without an exact match to a search query.
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