Abstract: 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.

Abstract: 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.

Abstract: Methods, systems, and apparatus, including computer program products, for processing search results. A first query suggestion for a search query input is received, and a first set of image search results responsive to the query suggestion is received. Both are provided to a user device in response to the search query input. After providing the first set of image search results to the user device, a signal of user interest is detected in either of the query suggestion or at least one of the image search results. The detection is prior to receiving another search query input subsequent to the search query input. In response to the detection, a second set of image search results is provided to the user device to supplement the first set of image search results previously provided to the user device. The second set of image search results are responsive to the query suggestion.

Abstract: 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.

Abstract: 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.