Abstract: A system and method for mapping an indoor environment. A client device may receive an indication of a starting point on a floor plan. The client device may prompt the user to travel in a particular direction and indicate when the user can no longer travel in that direction. As the user travels from the starting point in the designated direction, the client device may gather information about the indoor environment. For example, the client device may gather wireless signal strength data, cellular tower strength data, or video image data while the user travels in the designated direction. The client device may associate the gathered information with the path the user traveled from the starting point to the ending point. The client device may indicate the area for which valid location information is available based on the path the user traveled and the information the user collected.

Abstract: Methods and apparatus are directed to geofencing applications that utilize machine learning. A computing device can receive a plurality of geofence-status indications, where a geofence-status indication includes training data associated with a geofence at a first location. The geofence is associated with a geographical area. The computing device trains a geofence-status classifier to determine a geofence status by providing the training data as input to the geofence-status classifier. The training data includes data for a plurality of training features. After the geofence-status classifier is trained, the computing device receives query data associated with a second location. The query data includes data for a plurality of query features. The query features include a query feature that corresponds to a training feature. The query data is input to the geofence-status classifier. After providing the query data, the trained geofence-status classifier indicates the geofence status.

Abstract: A system and method for mapping an indoor environment. A client device may receive an indication of a starting point on a floor plan. The client device may prompt the user to travel in a particular direction and indicate when the user can no longer travel in that direction. As the user travels from the starting point in the designated direction, the client device may gather information about the indoor environment. For example, the client device may gather wireless signal strength data, cellular tower strength data, or video image data while the user travels in the designated direction. The client device may associate the gathered information with the path the user traveled from the starting point to the ending point. The client device may indicate the area for which valid location information is available based on the path the user traveled and the information the user collected.

Abstract: A system and method for mapping an indoor environment. A client device may receive an indication of a starting point on a floor plan. The client device may prompt the user to travel in a particular direction and indicate when the user can no longer travel in that direction. As the user travels from the starting point in the designated direction, the client device may gather information about the indoor environment. For example, the client device may gather wireless signal strength data, cellular tower strength data, or video image data while the user travels in the designated direction. The client device may associate the gathered information with the path the user traveled from the starting point to the ending point. The client device may indicate the area for which valid location information is available based on the path the user traveled and the information the user collected.

Abstract: Methods and apparatus are directed to geofencing applications that utilize machine learning. A computing device can receive a plurality of geofence-status indications, where a geofence-status indication includes training data associated with a geofence at a first location. The geofence is associated with a geographical area. The computing device trains a geofence-status classifier to determine a geofence status by providing the training data as input to the geofence-status classifier. The training data includes data for a plurality of training features. After the geofence-status classifier is trained, the computing device receives query data associated with a second location. The query data includes data for a plurality of query features. The query features include a query feature that corresponds to a training feature. The query data is input to the geofence-status classifier. After providing the query data, the trained geofence-status classifier indicates the geofence status.

Abstract: Feedback corresponding to a plurality of portions of an electronic book is collected. The feedback is analyzed to determine rating information corresponding to the plurality of portions. The rating information and a current reading position associated with a client device are used to determine information to be presented at the client device. In some instances, the feedback includes one or more implicit indicators.

Abstract: A system and method for mapping an indoor environment. A client device may receive an indication of a starting point on a floor plan. The client device may prompt the user to travel in a particular direction and indicate when the user can no longer travel in that direction. As the user travels from the starting point in the designated direction, the client device may gather information about the indoor environment. For example, the client device may gather wireless signal strength data, cellular tower strength data, or video image data while the user travels in the designated direction. The client device may associate the gathered information with the path the user traveled from the starting point to the ending point. The client device may indicate the area for which valid location information is available based on the path the user traveled and the information the user collected.