公开(公告)号：US20210097374A1

公开(公告)日：2021-04-01

申请号：US16588767

申请日：2019-09-30

Applicant: Microsoft Technology Licensing, LLC

Inventor： Xiaowei Liu ,  Yu Gan ,  Huiji Gao ,  Bo Long

IPC: G06N3/04 ,  G06F16/2457 ,  G06N3/08

Abstract: The disclosed embodiments provide a system for processing a search query. During operation, the system generates, based on one or more embedding layers in a machine learning model, input embeddings of the search query from a user of an online system. Next, the system applies one or more convolution layers in the machine learning model to the input embeddings to generate convolutional output from combinations of the input embeddings. The system then processes the convolutional output using one or more prediction layers in the machine learning model to produce a set of intent scores representing predicted likelihoods of a set of search intentions in the search query. Finally, the system performs a search of one or more verticals in the online system based on the search query and the set of intent scores.

公开(公告)号：US11182432B2

公开(公告)日：2021-11-23

申请号：US16457222

申请日：2019-06-28

Applicant: Microsoft Technology Licensing, LLC

Inventor： Jun Shi ,  Huiji Gao ,  Ying Xiong ,  Michaeel M. Kazi ,  Yu Gan ,  Yu Liu ,  Xiaowei Liu ,  Gonzalo Jorge Aniano Porcile ,  Bo Long ,  Abhimanyu Lad ,  Liang Zhang

IPC: G06F17/00 ,  G06F16/9032 ,  G06N20/00 ,  G06F16/2457 ,  G06F40/30

Abstract: The disclosed embodiments provide a system for performing a natural language search. During operation, the system applies a first machine learning model to a natural language query to predict one or more search intentions associated with the natural language query. Next, the system applies a second machine learning model to the natural language query to produce one or more search parameters associated with a first intention in the search intention(s), wherein the search parameter(s) include a field and a value of the field. The system then performs a first search of a first vertical associated with the first intention using the search parameter(s). Finally, the system generates a ranking containing a first set of search results from the first search of the first vertical and outputs at least a portion of the ranking in a response to the natural language query.

公开(公告)号：US20200210502A1

公开(公告)日：2020-07-02

申请号：US16232499

申请日：2018-12-26

Applicant: Microsoft Technology Licensing, LLC

Inventor： Yu Gan ,  Xiaowei Liu ,  Huiji Gao ,  Bo Long

IPC: G06F16/9535 ,  G06F16/903 ,  G06F16/908 ,  G06F16/9038

Abstract: An online system and method includes receiving a search query including at least one search term, the search query being associated with a member of the online system. A data tag is separately applied to each individual search term of the search query. An ambiguity status of the search query is determined based on at least some actions as stored in an electronic data storage, also configured to store content items of the online system, including member profile data. A probability distribution of content item categories is determined based on the data tags and at least some of the actions and, if the search is ambiguous, member profile data. At least one content item associated with a content item category having a highest probability on the probability distribution and a user interface displays the at least one content item.