公开(公告)号：US20160378777A1

公开(公告)日：2016-12-29

申请号：US14749914

申请日：2015-06-25

Applicant: Microsoft Technology Licensing, LLC

Inventor： Yogesh Ajit Vaidya ,  Hua Ding ,  Nan Wu ,  Aaron Chun Win Yuen ,  Karim Hasham ,  Parthasarathy Govindarajen ,  Arun Sacheti ,  Yanfeng Sun ,  Yandong Guo ,  Deepak Santhanam

IPC: G06F17/30

CPC classification number: G06F17/3097

Abstract: 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.

Abstract translation: 可以评估用户查询以提供结果集。 如果结果不反映用户的意图，则设备可以提供用于调整查询的追索权选项，以产生更理想的结果，例如，针对不同拼写的结果集顶部的建议，或者在 结果集的结果集可以产生更准确的结果。 然而，追索权选项的呈现可能会使用户界面混乱和/或不被用户忽视。 相反，可以用反映查询的意图的解释概率来识别经调整的查询。 描述经调整的查询的调整选项可以在较高概率第一结果和较低概率第二结果之间插入到结果集中。 选择调整选项可能会导致调整后的查询代表用户进行评估。

公开(公告)号：US20170103072A1

公开(公告)日：2017-04-13

申请号：US14878019

申请日：2015-10-08

Applicant: Microsoft Technology Licensing, LLC

Inventor： Aaron Chun Win Yuen ,  Alexandre B. R. Michelis ,  Arun Sacheti ,  Karim A. Hasham ,  Yanfeng Sun

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30253 ,  G06F17/30265 ,  G06F17/30268 ,  G06F17/30867

Abstract: 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.

公开(公告)号：US10528572B2

公开(公告)日：2020-01-07

申请号：US14839385

申请日：2015-08-28

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Arun Sacheti ,  Yanfeng Sun ,  Aaron Chun Win Yuen ,  Parthasarathy Govindarajen ,  Kun Wu ,  Soohoon Cho ,  Malik Mehdi Pradhan ,  Alexandre Michelis ,  Gautam Vishwas Vaidya ,  Karim Amin Hasham ,  Avinash Vemuluru

IPC: G06F16/20 ,  G06F16/2457 ,  G06N20/00 ,  G06F16/248 ,  G06F16/9535

Abstract: 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.

公开(公告)号：US10162865B2

公开(公告)日：2018-12-25

申请号：US14878019

申请日：2015-10-08

Applicant: Microsoft Technology Licensing, LLC

Inventor： Aaron Chun Win Yuen ,  Alexandre B. R. Michelis ,  Arun Sacheti ,  Karim A. Hasham ,  Yanfeng Sun

IPC: G06F17/30

Abstract: 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.

公开(公告)号：US10061866B2

公开(公告)日：2018-08-28

申请号：US14749914

申请日：2015-06-25

Applicant: Microsoft Technology Licensing, LLC

Inventor： Yogesh Ajit Vaidya ,  Hua Ding ,  Nan Wu ,  Aaron Chun Win Yuen ,  Karim Hasham ,  Parthasarathy Govindarajen ,  Arun Sacheti ,  Yanfeng Sun ,  Yandong Guo ,  Deepak Santhanam

IPC: G06F17/30

CPC classification number: G06F16/90324

Abstract: 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.