公开(公告)号：US20170193057A1

公开(公告)日：2017-07-06

申请号：US14984357

申请日：2015-12-30

Applicant: Yahoo!, Inc.

Inventor： Xing Yi ,  Zhen Yue ,  Alyssa Glass Owara ,  Zhigeng Geng

IPC: G06F17/30 ,  G06N99/00

Abstract: One or more client devices, systems, and/or methods of improving mobile searches are provided. A feature (e.g., “snow boots”), generated on a client device, is identified. The feature is evaluated to identify a goal (e.g., finding snow boots) associated with the feature. A mission (e.g., finding outdoor apparel), associated with the goal, is identified. A query (e.g., “outdoor stores near Akron”) associated with a second goal (e.g., find outdoor apparel store) associated with the mission is identified using a model generated utilizing a machine learning method trained using a query-goal-mission structure. A query recommendation (e.g., “outdoor apparel store”) comprising the query is presented to the user. A user satisfaction metric, associated with the query, the query recommendation, a result generated by the query recommendation, etc. is determined based upon user interaction with the query recommendation and the result. The model may be tuned based upon the user satisfaction metric.

公开(公告)号：US10769547B2

公开(公告)日：2020-09-08

申请号：US14984357

申请日：2015-12-30

Applicant: Yahoo!, Inc.

Inventor： Xing Yi ,  Zhen Yue ,  Alyssa Glass Owara ,  Zhigeng Geng

IPC: G06N20/00 ,  G06F16/332 ,  G06F16/335

Abstract: One or more client devices, systems, and/or methods of improving mobile searches are provided. A feature (e.g., “snow boots”), generated on a client device, is identified. The feature is evaluated to identify a goal (e.g., finding snow boots) associated with the feature. A mission (e.g., finding outdoor apparel), associated with the goal, is identified. A query (e.g., “outdoor stores near Akron”) associated with a second goal (e.g., find outdoor apparel store) associated with the mission is identified using a model generated utilizing a machine learning method trained using a query-goal-mission structure. A query recommendation (e.g., “outdoor apparel store”) comprising the query is presented to the user. A user satisfaction metric, associated with the query, the query recommendation, a result generated by the query recommendation, etc. is determined based upon user interaction with the query recommendation and the result. The model may be tuned based upon the user satisfaction metric.