Microsoft Technology Licensing, LLC

Jyotkumar Jagdishbhai Patel

Dvir Horovitz

Chelsea Nicole Mitchell

Houdong Hu

Jason Andrew Chen

Ryuichi Hirano

Yekaterina Grabar

Julia Gong

Alexander Burmistrov

Xuetao Yin

Siddhika Nevrekar

Nikola Todic

Aleksandar Samardzija

Benny Hartono

Dzmitry Dulko

Rijuta Ajay Trivedi

Wensi Li

Yale Song

Rajiv S Binwade

Jeongwoo Choi

Daniel Chin Hua Lau

Xiujia Guo

Chia-Huei Yen

Hemant Goyal

Jessica Leigh May

Vimal R Kocherla

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.

Providing local recommendations based on images of consumable items

Generating an interactive discovery feed of place of interest items (POIs) relevant to a user is provided. A relevant POI discovery feed system curates a collection of narratives about various POIs from multiple sources and generates a plurality of POI content feed items including content items (e.g., photos, maps, links to additional information or related POIs) extracted from the collection of narratives. The system determines a set of POIs relevant to a user based on user-selected topics of interest and user preferences inferred from signals generated from user interactions with the system, and generates a discovery feed of POI content feed items associated with the set of relevant POIs for display to the user. In some examples, the items are presented in a card-based UI. Users are enabled to easily discover new places, view photos, and learn more about POIs in a consistent presentation of POI-related content feed items.

Topic-based place of interest discovery feed

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).

Search along the route

Growing community of inventors

Bellevue, WA, United States of America

Jyotkumar Jagdishbhai Patel