Abstract: The present disclosure provides method and apparatus for determining a food item from a photograph and a corresponding restaurant serving the food item. An image is received from a user, the image being associated with a consumable item. One or more ingredients of the consumable item in the image is identified along with a location of the user and using a neural network, determining one or more similar images from a database. A restaurant associated with each of the one or more similar images is determined along with a similarity score indicating a similarity between the restaurant and the identified content of the image. The one or more restaurants and/or associated similar food items are ranked based on the similarity score and a list of ranked restaurants is provided to the user.

Abstract: The present disclosure provides method and apparatus for determining a food item from a photograph and a corresponding restaurant serving the food item. An image is received from a user, the image being associated with a consumable item. One or more ingredients of the consumable item in the image is identified along with a location of the user and using a neural network, determining one or more similar images from a database. A restaurant associated with each of the one or more similar images is determined along with a similarity score indicating a similarity between the restaurant and the identified content of the image. The one or more restaurants and/or associated similar food items are ranked based on the similarity score and a list of ranked restaurants is provided to the user.

Abstract: The present disclosure provides method and apparatus for determining a food item from a photograph and a corresponding restaurant serving the food item. An image is received from a user, the image being associated with a consumable item. One or more ingredients of the consumable item in the image is identified along with a location of the user and using a neural network, determining one or more similar images from a database. A restaurant associated with each of the one or more similar images is determined along with a similarity score indicating a similarity between the restaurant and the identified content of the image. The one or more restaurants and/or associated similar food items are ranked based on the similarity score and a list of ranked restaurants is provided to the user.

Abstract: Architecture that comprises features that enable smart searches along a route based on time to entities along the route and off the route, a user experience (UX) that showcases rich entities along the route, saving, sharing and editing capabilities across devices and users, smart ranking and filtering of entities, and user preferences and digital personal assistant interaction. After an itinerary is built, the itinerary can be saved for future use and/or shared with friends and/or other devices. Users can change the itinerary on-the-go by searching and adding entities, at a later time, for example. A digital personal audio assistant can be utilized to provide guidance based on the itinerary, and ask users if they want to take a particular exit to visit some desired location (e.g., place of interest).

Abstract: Systems and methods for generating hashmaps are presented. According to the disclosed subject matter, computer users can identify a geo-location (a real-world geographic location) irrespective and independent of any known entity at the geo-location and associate content with regard to the identified location. The combination of the user-specified location and the corresponding, associated content is a “hashmap.” Additional information may be associated and included with a hashmap, including access restrictions to the hashmap by others, a user identifier of the creator of the hashmap, and a date and time. Users can search for hashmaps related to a particular area by submitting hashmap requests to a hashmap service.

Abstract: Architecture that comprises features that enable smart searches along a route based on time to entities along the route and off the route, a user experience (UX) that showcases rich entities along the route, saving, sharing and editing capabilities across devices and users, smart ranking and filtering of entities, and user preferences and digital personal assistant interaction. After an itinerary is built, the itinerary can be saved for future use and/or shared with friends and/or other devices. Users can change the itinerary on-the-go by searching and adding entities, at a later time, for example. A digital personal audio assistant can be utilized to provide guidance based on the itinerary, and ask users if they want to take a particular exit to visit some desired location (e.g., place of interest).