Patents by Inventor Hyun-Je SONG

Hyun-Je SONG 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).

  • Patent number: 11403345
    Abstract: A query processing method may include receiving a query based on an utterance of a user and a context associated with the user; analyzing an intent of the user for the query based on a natural language understanding (NLU) for the query; and in response to the intent of the user being undetermined through the analyzing, predicting the intent of the user using a deep learning based probabilistic model having the query and the context as an input.
    Type: Grant
    Filed: February 28, 2020
    Date of Patent: August 2, 2022
    Assignee: NAVER CORPORATION
    Inventors: Sung Ju Kim, Hyun-Je Song, Inho Kang, Yongsoo Seol, SeungJun Lee, Soobin Suh, Jae Gwang Lee, JongHyeog Choi, Woongsub Kim, Kyungduk Kim, ChiYun Song, Hye-Jeong Yeom
  • Patent number: 11281724
    Abstract: Provided is a query recommendation method and system using a search context. A recommendation query providing method may include generating candidate queries to be recommended to a user based on a search context including a query history associated with the user and a search result provided for each query; performing clustering of the candidate query based on a similarity between candidate queries; and providing an electronic device of the user with a final candidate query selected from each cluster of candidate queries as a recommendation query.
    Type: Grant
    Filed: April 19, 2019
    Date of Patent: March 22, 2022
    Assignee: NAVER CORPORATION
    Inventors: Hyun-Je Song, Hee-Cheol Seo, SeungJun Lee, Yongsoo Seol, Injae Lee, Seongeun So, Jihye Lee, Eunyoung Kim
  • Publication number: 20200279002
    Abstract: A query processing method may include receiving a query based on an utterance of a user and a context associated with the user; analyzing an intent of the user for the query based on a natural language understanding (NLU) for the query; and in response to the intent of the user being undetermined through the analyzing, predicting the intent of the user using a deep learning based probabilistic model having the query and the context as an input.
    Type: Application
    Filed: February 28, 2020
    Publication date: September 3, 2020
    Inventors: Sung Ju KIM, Hyun-Je SONG, Inho KANG, Yongsoo SEOL, SeungJun LEE, Soobin SUH, Jae Gwang LEE, JongHyeog CHOI, Woongsub KIM, Kyungduk KIM, ChiYun SONG, Hye-Jeong YEOM
  • Publication number: 20190251125
    Abstract: Provided is a query recommendation method and system using a search context. A recommendation query providing method may include generating candidate queries to be recommended to a user based on a search context including a query history associated with the user and a search result provided for each query; performing clustering of the candidate query based on a similarity between candidate queries; and providing an electronic device of the user with a final candidate query selected from each cluster of candidate queries as a recommendation query.
    Type: Application
    Filed: April 19, 2019
    Publication date: August 15, 2019
    Inventors: Hyun-Je SONG, Hee-Cheol SEO, SeungJun LEE, Yongsoo SEOL, Injae LEE, Seongeun SO, Jihye LEE, Eunyoung KIM