Personalized response generating method and personalized response generating system based on user portrait

A technology for generating systems and users, applied in the field of data processing, can solve problems such as lack of personalization of users and insufficient user experience, and achieve accurate answers

Inactive Publication Date: 2017-05-10
SHENZHEN GOWILD ROBOTICS CO LTD
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing questions and answers are all judged and generated through question

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  • Personalized response generating method and personalized response generating system based on user portrait
  • Personalized response generating method and personalized response generating system based on user portrait
  • Personalized response generating method and personalized response generating system based on user portrait

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Embodiment Construction

[0020] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0021] figure 1 Shown is a flow chart of a method for generating personalized answers based on user portraits provided by an embodiment of the present invention, including the following steps:

[0022] Step 1: The user inputs multimodal input, and performs multimodal input conversion on the input multimodal input, and converts it into a text question. For example, a user inputs a voice, and voice conversion is performed on the input voice to convert it into a text question. Please note that the "multimodal input" referred to in this article includes, but is not limited to, video, face, expression...

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Abstract

The invention provides a personalized response generating method and a personalized response generating system based on user portrait. The personalized response generating method comprises steps that S1: user input adopts multi-mode input, and the multi-mode input conversion of the multi-mode input is carried out, and a text question is generated after the conversion; S2: candidate answers are generated generated according to the converted text question, and every candidate answer is scored; S3: the similarity calculation between the vector generated by the user portrait and the vector of every candidate answer is carried out; S4: the weighting summation and the rearrangement of the similarity calculated by the S3 and the score generated by the S2 are carried out, and the candidate answer having the highest score is used as the final output answer. By adopting the user portrait way, the answer of the question is provided, and the function of personalized response is satisfied.

Description

technical field [0001] The present invention relates to the technical field of data processing, and in particular to a method and system for generating personalized answers based on user portraits. Background technique [0002] User portrait, also known as user persona (Persona), is an effective tool to outline target users, connect user demands and design direction. For example, during product development, it can be used to position and plan products; in actual implementation, user portraits can be used as a collection of tags that describe user characteristics, such as basic attributes such as age, gender, and education, or user interests. characteristics, etc.; during product promotion, potential customer groups can be tapped according to user portraits, and targeted product recommendations can be made. With the continuous development of information technology, user portraits are gradually applied in more fields. [0003] As people's demand for fast and accurate access ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F3/0481
CPCG06F16/00G06F3/0481G06F16/3329
Inventor 杨新宇王昊奋邱楠
Owner SHENZHEN GOWILD ROBOTICS CO LTD
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