Patents by Inventor Tsung-Wen TSO

Tsung-Wen TSO 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: 20220020092
    Abstract: A fund tracking system, a fund tracking method and a graphic user interface are provided. The fund tracking method is used to track a target fund. The fund tracking method includes the following steps. Several ETF asset classes are obtained according to a fund benchmark index of the target fund. Several representative ETFs are obtained according to the ETF asset classes. A simulated investment portfolio is generated according to the representative ETFs. Whether the simulated investment portfolio meets a verification condition is verified. If the simulated investment portfolio meets the verification condition, the simulated investment portfolio is outputted.
    Type: Application
    Filed: November 25, 2020
    Publication date: January 20, 2022
    Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
    Inventors: En-Tzu WANG, Tsung-Wen TSO, Chuan-Hsiang HAN
  • Publication number: 20210117620
    Abstract: A project generating method comprises extracting a keyword from a plurality of text files with a specified category, determining whether the keyword is a theme, extracting a geographical name from the text files corresponding to the theme, determining whether to keep the theme according to an internet volume of the theme, filtering a plurality of review files from a review website according to the geographical name, calculating a first ratio therein to determining whether to keep the theme, and generating a project including the geographical name and the theme serving as a recommendation row.
    Type: Application
    Filed: December 20, 2019
    Publication date: April 22, 2021
    Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
    Inventors: Tsung-Wen TSO, Chin-Yang LIN, En-Tzu WANG
  • Patent number: 10572929
    Abstract: A decision factors analyzing device and a decision factors analyzing device for analyzing a plurality of decision factors which cause a product of a product type to be purchased are provided. The method includes identifying a plurality of product sequences corresponding to the product type from a plurality of browse history data and a plurality of purchase history data corresponding to a plurality of consumers of a consumer database, wherein each of the product sequences includes a unpurchased product and a purchased product; obtaining a feature sequence according to the produce sequences and a plurality of product information; training a regression model corresponding to the product type according to K decision factors of the feature sequence to obtain an optimized regression model, and obtaining K decision values respectively corresponding to the K decision factors according to the optimized regression model to generate a decision factor sequence corresponding to the product type.
    Type: Grant
    Filed: December 25, 2017
    Date of Patent: February 25, 2020
    Assignee: Industrial Technology Research Institute
    Inventors: Cheng-Liang Lin, Jie-Sin Li, En-Tzu Wang, Jyun-Tang Huang, Tsung-Wen Tso
  • Publication number: 20190164213
    Abstract: A decision factors analyzing device and a decision factors analyzing device for analyzing a plurality of decision factors which cause a product of a product type to be purchased are provided. The method includes identifying a plurality of product sequences corresponding to the product type from a plurality of browse history data and a plurality of purchase history data corresponding to a plurality of consumers of a consumer database, wherein each of the product sequences includes a unpurchased product and a purchased product; obtaining a feature sequence according to the produce sequences and a plurality of product information; training a regression model corresponding to the product type according to K decision factors of the feature sequence to obtain an optimized regression model, and obtaining K decision values respectively corresponding to the K decision factors according to the optimized regression model to generate a decision factor sequence corresponding to the product type.
    Type: Application
    Filed: December 25, 2017
    Publication date: May 30, 2019
    Applicant: Industrial Technology Research Institute
    Inventors: Cheng-Liang Lin, Jie-Sin Li, En-Tzu Wang, Jyun-Tang Huang, Tsung-Wen Tso
  • Publication number: 20180174162
    Abstract: A method for predicting user preference comprising: obtaining a users group with multiple users and a history shopping record associated with multiple goods; selecting a goods parameter, each goods having the goods parameter; selecting a plurality of first values of the goods parameter according to the history shopping record; determining a determining a representative users group with multiple representative users according to the history shopping record and the first values; calculating a correlation between a user and one of the representative users in the representative users group; and predicting the preference of the users according to the correlation and representative users' preference.
    Type: Application
    Filed: December 27, 2016
    Publication date: June 21, 2018
    Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
    Inventors: En-Tzu WANG, Tsung-Wen TSO