公开(公告)号：US20250139506A1

公开(公告)日：2025-05-01

申请号：US18515660

申请日：2023-11-21

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Yu-Chuan YANG ,  Tai-Ta Kuo ,  Ping-I Chen

IPC: G06N20/00

Abstract: A training system and a training method for a domain-specific data model are provided. The training method includes configuring a computing device to perform the following processes: generating, by a training set generation module, a training data set based on a domain knowledge graph; updating the data model based on the training data set; generating, by the training set generation module, training input text corresponding to the domain knowledge graph; inputting the training input text into the data model to obtain training output text; evaluating and generating a score by an evaluation module based on a correlation between the training output text and the domain knowledge graph; and adjusting, by a reinforcement learning module, parameters of the data model according to the score and an optimization goal of the reward model until the score meets a training completion condition, taking the data model as the domain-specific data model.

公开(公告)号：US10459980B2

公开(公告)日：2019-10-29

申请号：US15133779

申请日：2016-04-20

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Tai-Ta Kuo ,  Ping-I Chen

IPC: G06F16/9032 ,  G06F16/9535 ,  G06F16/901 ,  G06F16/34

Abstract: A display system for an issue comprises an input unit, a display unit and an processing unit. The input unit receives an initial keyword corresponding to an issue. The display unit displays at least a derivative issue generated from the issue during a time period according to time-based characteristics. The processing unit coupled to the input unit and the display unit obtains tags of subject contents of web pages, and obtains a present keywords group according to co-occurrence correlation of the tags. The processing unit analyzes the correlation between the present keywords calculated based on social voice, analyzing overlap rate for the present keywords compared with the initial keywords, and compares correlation between the present keywords with correlation between the initial keywords calculated based on social voice, in order to determine whether at least one of the derivative issue is generated.

公开(公告)号：US20190139064A1

公开(公告)日：2019-05-09

申请号：US15831406

申请日：2017-12-05

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Ping-I Chen ,  Tai-Ta Kuo ,  Yen-Heng Tsao ,  Fu-Jheng Jheng ,  Yu-Chuan Yang

IPC: G06Q30/02 ,  G06F17/30

Abstract: An inference system for data relation, method and system for generating marketing target groups are disclosed herein. The method includes the following operations: inputting a product name; determining a first group type of the product name from a specified data source according to the product name and finding a first interesting field and at least one first interesting data in the first interesting field corresponding to the first group type; establishing a customer persona model, wherein the customer persona model contains second group types, each of second group types has a second interesting field and at least one second interesting data in the second interesting field corresponding to the second group type; comparing the at least one second interesting data of the second group type of the customer persona model with the at least one first interesting data, and screening at least one marketing target group.