Patents by Inventor Daxin Jiang

Daxin Jiang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20200356556
    Abstract: In embodiments of the present disclosure, there is provided an assertion-based question answering manner. After a question and the related passage are obtained, an assertion answer to the question is determined based on content of the passage, and the assertion answer has a predetermined structure and represents a complete semantic meaning. Then, the assertion answer to the question may be outputted to the user. In the embodiments of the present disclosure, the question and the relevant passage are used as input, and a semi-structured assertion answer is output. The assertion answer according to embodiments of the present disclosure can provide richer semantic content than the traditional short answer, and provide a more concise expression than the traditional long answer, thereby ensuring accuracy of the answer while improving the user experience.
    Type: Application
    Filed: December 6, 2018
    Publication date: November 12, 2020
    Inventors: Duyu Tang, Nan Duan, Ming Zhou, Wendi Wang, Daxin Jiang, Shujie Liu, Linjun Shou, Ming Gong
  • Publication number: 20160210301
    Abstract: Techniques described herein describe a context-aware query suggestion process. Context of a current query may be calculated by analyzing a sequence of previous queries. Historical search data may be mined to generate groups of query suggestion candidates. Using the context of the current query, the current query may be matched with the groups of query suggestion candidates to find a matching query suggestion candidate, which may be provided to the user.
    Type: Application
    Filed: March 28, 2016
    Publication date: July 21, 2016
    Inventors: Daxin Jiang, Hang Li
  • Patent number: 9330165
    Abstract: Techniques described herein describe a context-aware query suggestion process. Context of a current query may be calculated by analyzing a sequence of previous queries. Historical search data may be mined to generate groups of query suggestion candidates. Using the context of the current query, the current query may be matched with the groups of query suggestion candidates to find a matching query suggestion candidate, which may be provided to the user.
    Type: Grant
    Filed: February 13, 2009
    Date of Patent: May 3, 2016
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Daxin Jiang, Hang Li
  • Publication number: 20120290575
    Abstract: Architecture that mines intent of a query from search log data. For example, for a given query, the intent, the major URLs for the intent, and intent attributes, are found. The input is search log data and the output is a database that contains the intent of queries mined from the log data. Data mining techniques are employed to discover major intents of queries in the click-through log data of a search engine. For each query, its expanded queries are created and utilized, as well as co-clicks of the original query and expanded queries in the log data. For each query, clustering is performed on the co-click data of the query and expanded queries to find the major intents of the query.
    Type: Application
    Filed: May 9, 2011
    Publication date: November 15, 2012
    Applicant: Microsoft Corporation
    Inventors: Yunhua Hu, Daxin Jiang, Hang Li
  • Publication number: 20110270819
    Abstract: Query classification techniques attempt to classify user search queries in order to better understand user search intent. Understanding a user's search intent allows search engines to provide relevant content tailored to the user's interest. Unfortunately, current classification techniques do not take into account contextual information. Accordingly, as provided herein, a target query may be classified based upon contextual information. In particular, features may be extracted from contextual information and/or other sources. For example, features may be extracted from the target query, related queries, and/or invoked search results of the related queries. In this way, the target query may be classified based upon other queries performed by the user and/or search results of the queries the user found interesting. In addition, a CRF model may be utilized in classifying the target query by providing generalized parameters learned from labeled query sessions.
    Type: Application
    Filed: April 30, 2010
    Publication date: November 3, 2011
    Applicant: Microsoft Corporation
    Inventors: Dou Shen, Daxin Jiang, Jian-Tao Sun
  • Publication number: 20110208730
    Abstract: A model generated from search log data predicts a hidden state based on a query to determine a context of the query, such as for providing re-ranked search results, query suggestions and/or URL recommendations.
    Type: Application
    Filed: February 23, 2010
    Publication date: August 25, 2011
    Applicant: Microsoft Corporation
    Inventors: Daxin Jiang, Hang Li
  • Publication number: 20110179013
    Abstract: A suffix-tree index may be constructed from search engine search logs. This suffix-tree is scalable and suitable for use in a distributed computing environment. Data mining against the data may proceed with functions including a forward search, backward search, and/or query session retrieval.
    Type: Application
    Filed: January 21, 2010
    Publication date: July 21, 2011
    Applicant: Microsoft Corporation
    Inventors: Daxin Jiang, Hang Li
  • Publication number: 20100211588
    Abstract: Techniques described herein describe a context-aware query suggestion process. Context of a current query may be calculated by analyzing a sequence of previous queries. Historical search data may be mined to generate groups of query suggestion candidates. Using the context of the current query, the current query may be matched with the groups of query suggestion candidates to find a matching query suggestion candidate, which may be provided to the user.
    Type: Application
    Filed: February 13, 2009
    Publication date: August 19, 2010
    Applicant: Microsoft Corporation
    Inventors: Daxin Jiang, Hang Li