Microsoft Technology Licensing, LLC

Microsft Technolgy Licensing, LLC

Karim Hasham

Arun Sacheti

Yanfeng Sun

Aaron Chun Win Yuen

Parthasarathy Govindarajen

Kun Wu

Linjun Yang

Ming Ye

Malik Mehdi Pradhan

Yandong Guo

Avinash Vemuluru

Hua Ding

Soohoon Cho

Gautam Vishwas Vaidya

Aaron Chun-Win Yuen

Alexandre B R Michelis

Yogesh Ajit Vaidya

Nan Wu

Alexandre Michelis

Deepak Santhanam

Pavel Komlev

Jeffrey Lee-Yu Su

Systems, computing devices, and methods for performing an image search are presented. A search query including an image is received from a user. A segment associated with the image is identified. A user intent associated with the image and the segment is identified. Search results associated with the identified segment and user intent are generated, and presented to the user.

Task-focused search by image

The technology described herein provides an efficient mechanism for quickly analyzing huge amounts of media content to find media content (hereafter 'content' or 'media content') that is relevant to a user. The technology analyzes features of a curator to classify curators by interest and/or find curators with similar content recommendations. The curator data can be used to make curator recommendations to users based on the user's interests. The technology described herein collects curator data from multiple content sites and analyzes the data to identify curators that recommend similar content on different content sites.

Recommending a content curator

Various embodiments described herein are directed to providing cohesive related searches with dynamically generated titles. One or more related queries are retrieved for a search query and are grouped into one or more groupings based on a predefined relationship between the search query and a subset of the related queries. A dynamically generated first title is retrieved for a first grouping from the predefined relationship between the search query and the related queries in first grouping. The first title and the related queries in the first grouping are presented. A selection pivot is provided to select a second grouping, where the selection pivot contains an indicator of the predefined relationship between the search query and the related queries in the second grouping. Upon selecting the second grouping, a dynamically generated second title is retrieved, and the second title and the related queries in the second grouping are presented.

Cohesive related searches with dynamically generated titles

The technology described herein provides an efficient mechanism for generating image tags. Image data from a plurality of sources may be analyzed to identify relevant text items from the aggregated data. The relevant text items may be keywords describing a subject of an image, an entity of an image, a location of an image, or the like. From the aggregated image data, one or more image tags may be generated and stored as an offline dataset with an image identifier. Upon detecting a prompt such as a user issuing a search query for an image, the image identifier is used to perform a look up of the image and associated image tags to be provided.

Generating image tags

A user query may be evaluated to provide a result set. In case the results do not reflect the user's intent, the device may provide recourse options for adjusting the query in a manner that yields more desirable results, e.g., a suggestion at the top of the result set for a different spelling, or recommendations at the end of the results set for additional query techniques that may yield more accurate results. However, such presentation of recourse options may clutter the user interface and/or go unnoticed by the user. Instead, an adjusted query may be identified with an interpreted probability of reflecting the intent of the query. An adjustment option describing the adjusted query may be inserted into the result set, between a higher-probability first result and a lower-probability second result. Selection of the adjustment option may cause the adjusted query to be evaluated on behalf of the user.

Providing query recourse with embedded query adjustment options

Growing community of inventors

Bellevue, WA, United States of America

Karim Hasham