Google Inc.

Diego Ariel Gertzenstein

Paul Eastlund

David Kogan

Andrea Lynn Frome

Ameesh Makadia

Arthur Edmond Blume

Baris Yuksel

Evangelos Kokkevis

Andrew Logan Harp

Ehud Rivlin

Ethan G Russell

Douglas Richard Grundman

Won S Chun

Elizabeth Hamon Reid

Rachel L Petterson

Howard Wellington Trickey

Anthony Gerald Francis

Melanie Clements

Methods and systems for interacting with multiple three-dimensional (3D) object data models are provided. An example method may involve receiving a search query comprising a descriptor for an object that is associated with a given category of objects. The method may involve comparing the descriptor to contents of a three-dimensional (3D) object-data-model database that includes contents associated with the given category of objects. Based on the comparison, the method may involve generating a search query result that comprises 3D object data models that describe the object and associated images that describe the object. The method may also involve arranging the 3D object data models and associated images in the search query result in a manner such that the 3D object data models are moveable inline in the search query result, and providing the search query result.

Searching three-dimensional (3D) object data models

Systems and methods are provided for determining whether given business listings are spam or are closed businesses. In one example, a system receives a business listing from a user. The business listing contains a geolocation and the name of a business. The system also receives one or more street level images related to a geographic object that is at or near the same geolocation as the business listing. The system determines if the business listing is spam or is closed based on the received street level images by determining if the geographic object is the business or by analyzing whether the business associated with the listing is shown in any of the street level images.

Systems and methods of correlating business information to determine spam, closed businesses, and ranking signals

A business listing verification server is operative to verify whether a business listing complies with a selected business configuration rule. The business listing verification server may include a business listing database comprising a plurality of business listings and a business information source pipeline for processing the various business listings. The business listing verification server may further include a set of business listing configuration rules, wherein each business listing configuration rule may be established for a separate business. A business listing configuration rule may establish whether a business listing is a potentially suspicious business listing. In addition, the business listing verification server may also include a moderation priority queue, where business listings to be moderated are prioritized based on whether the business listings have been identified as potentially suspicious business listings according to one or more business listing configuration rules.

Identifying potentially suspicious business listings for moderation

Growing community of inventors

Sudbury, MA, United States of America

Diego Ariel Gertzenstein