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This paper investigates the application of a novel Deep Neural Network (DNN) architecture to the problem of matching data in different modes. Initially one DNN is pre-trained as a feature extractor ...
Broad match is becoming the dominant match type in Google Ads. CPCs, ROAS, and AI-driven bidding make phrase match harder to ...
This paper presents a fast, memory-efficient, and worldwide map matching algorithm based on raw geographic coordinates and enriched open map data with support for trajectories on foot, by bike, and ...
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