作者: Scott Hannan
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摘要: Information about physical places is gathered to develop quality scores for targeting advertisements users of mobile devices sharing geographic location events with service providers. A scoring model incorporates selected attributes (e.g., created by a provider vs. user-generated, category, keywords, census data providing population density location, property values area, popularity, special events, government private whether place associated brand, chain, or independent) that have been from multiple sources, verified, and normalized. Advertisements are targeted running applications based on event shared the using score indicated in addition other place. In one embodiment, system uses machine learning algorithm analyze conversion rates advertising provide feedback model.