Google Inc.

Clarence Chris Mysen

Johnny C Chen

Scott E Schwartz

The price of digital content is set by a pricing module using data obtained from a statistics module. The statistics module includes historical information about a content author's previous works, including demand for those works, and tracks data such as how many downloads are requested for the current content being priced, how many users are watching or listening to previews of the digital content, and where users are located. The pricing module may make content available for free initially; alternatively an initial non-zero price is chosen. The pricing module increases the price and observes changes in demand to determine a best-fit demand curve. Once the best-fit demand curve is determined, a price for the content is selected to maximize revenue. As the demand curve shifts, the price is adjusted to maintain optimal demand. Price is also adjusted proactively based on demand predictions determined according to statistical and historical data.

Automatically adaptive pricing for digital goods

Methods, systems, and apparatus, including computer program products, for ranking local businesses. One or more signals indicating one or more actions related to a plurality of business listings are received. The business listings are ranked based on the signals. A search query is received, and in response to the search query, one or more of the business listings are presented in an order based at least on the ranking.

Local business ranking using mapping information

A query prefix is received from a user device. A user identifier is determined based on the user device. A user category is determined based on the user identifier. A node representing the query prefix is located in a query graph. Descendent nodes of the located node that represent queries are located. Each node has one or more user category specific frequency measures and each user category specific frequency measure is associated with a user category. The queries represented by the located nodes are ranked based on the associated user category specific frequency measure associated with the identified user category. The ranked queries are sent to the user device.

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Menlo Park, CA, United States of America

Clarence Chris Mysen