Abstract: Entities such as hotels, restaurants, resorts, houses, vehicles, and other places and things, are associated with images of each entity. The images are tagged using machine learning to identify what aspects of the associated entity are captured by each image. When a user is requested to select an entity from a set of entities, a user preference model is used to determine what tags the user is interested in. The tags are used to select images associated with the entities from the set of entities, and the selected images are displayed to the user. The user can then provide indicators that show which of the displayed images the user likes or dislikes. Based on the indicators, one or more entities from the set of entities is presented to the user. The model may also be updated based on the indicators.

Abstract: Entities such as hotels, restaurants, resorts, houses, vehicles, and other places and things, are associated with images of each entity. The images are tagged using machine learning to identify what aspects of the associated entity are captured by each image. When a user is requested to select an entity from a set of entities, a user preference model is used to determine what tags the user is interested in. The tags are used to select images associated with the entities from the set of entities, and the selected images are displayed to the user. The user can then provide indicators that show which of the displayed images the user likes or dislikes. Based on the indicators, one or more entities from the set of entities is presented to the user. The model may also be updated based on the indicators.

Abstract: Embodiments relate to efficiently viewing data items in a three-dimensional (3D) space. The 3D space includes a curved surface that is concave with respect to a user-controlled viewpoint in the 3D space. The viewpoint is for controlling the direction and location of a rendered view of the 3D space. The data items have respective values associated therewith. The data items are arranged on the surface according to their values so that a user's ease of viewing the data items varies with their values; data items with some values may be arranged to be easier to view by manipulating the view direction than others (e.g., those with lower values). Ease of viewing can stem from how the surface is oriented relative to the viewpoint, the orientation of the curvature of the surface, the orientation of a controlling reference orientation, alignment of the data items on the surface, etc.

Abstract: Embodiments relate to efficiently viewing data items in a three-dimensional (3D) space. The 3D space includes a curved surface that is concave with respect to a user-controlled viewpoint in the 3D space. The viewpoint is for controlling the direction and location of a rendered view of the 3D space. The data items have respective values associated therewith. The data items are arranged on the surface according to their values so that a user's ease of viewing the data items varies with their values; data items with some values may be arranged to be easier to view by manipulating the view direction than others (e.g., those with lower values). Ease of viewing can stem from how the surface is oriented relative to the viewpoint, the orientation of the curvature of the surface, the orientation of a controlling reference orientation, alignment of the data items on the surface, etc.

Abstract: Embodiments relate to efficiently viewing data items in a three-dimensional (3D) space. The 3D space includes a curved surface that is concave with respect to a user-controlled viewpoint in the 3D space. The viewpoint is for controlling the direction and location of a rendered view of the 3D space. The data items have respective values associated therewith. The data items are arranged on the surface according to their values so that a user's ease of viewing the data items varies with their values; data items with some values may be arranged to be easier to view by manipulating the view direction than others (e.g., those with lower values). Ease of viewing can stem from how the surface is oriented relative to the viewpoint, the orientation of the curvature of the surface, the orientation of a controlling reference orientation, alignment of the data items on the surface, etc.

Abstract: Embodiments relate to efficiently viewing data items in a three-dimensional (3D) space. The 3D space includes a curved surface that is concave with respect to a user-controlled viewpoint in the 3D space. The viewpoint is for controlling the direction and location of a rendered view of the 3D space. The data items have respective values associated therewith. The data items are arranged on the surface according to their values so that a user's ease of viewing the data items varies with their values; data items with some values may be arranged to be easier to view by manipulating the view direction than others (e.g., those with lower values). Ease of viewing can stem from how the surface is oriented relative to the viewpoint, the orientation of the curvature of the surface, the orientation of a controlling reference orientation, alignment of the data items on the surface, etc.

Abstract: Entities such as hotels, restaurants, resorts, houses, vehicles, and other places and things, are associated with images of each entity. The images are tagged using machine learning to identify what aspects of the associated entity are captured by each image. When a user is requested to select an entity from a set of entities, a user preference model is used to determine what tags the user is interested in. The tags are used to select images associated with the entities from the set of entities, and the selected images are displayed to the user. The user can then provide indicators that show which of the displayed images the user likes or dislikes. Based on the indicators, one or more entities from the set of entities is presented to the user. The model may also be updated based on the indicators.