WO2018000271A1 - Intention scene recognition method and system based on user portrait - Google Patents
Intention scene recognition method and system based on user portrait Download PDFInfo
- Publication number
- WO2018000271A1 WO2018000271A1 PCT/CN2016/087756 CN2016087756W WO2018000271A1 WO 2018000271 A1 WO2018000271 A1 WO 2018000271A1 CN 2016087756 W CN2016087756 W CN 2016087756W WO 2018000271 A1 WO2018000271 A1 WO 2018000271A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- intention
- intent
- user
- candidate
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
Definitions
- the present invention relates to the field of data processing technologies, and in particular, to a method and system for intent scene recognition based on a user portrait.
- the user portrait also known as the user role (Persona) is an effective tool for sketching the target user, contacting the user's appeal and design direction.
- the user portrait can be used to locate and plan the product; in the specific implementation, the user portrait can be used as a collection of tags for characterizing the user, such as basic attributes such as age, gender, education, or user interest. Features, etc.; during product promotion, potential customer groups can be mined based on user images for targeted product recommendations.
- user portraits are gradually being applied to more fields.
- intent recognition technology is emerging, analyzing user intent and returning a concise, accurate answer to the user.
- the existing intent recognition is judged by the information input by the interaction, and the user is not personalized, and is easy to make mistakes, and the user experience is not good enough.
- the present invention provides a method and system for intent scene recognition based on a user portrait, which combines a user portrait vector with a vector of traditional intent recognition to obtain a personalized answer generation and realize a question and answer. Personalize the experience and greatly improve the accuracy.
- the present invention provides an intent scene recognition method based on a user portrait, comprising: Step 1: A user inputs a multimodal input, and performs multimodal input conversion on the multimodal input, and converts the same For text; Step 2: Intent recognition based on the converted text and scoring each of the intents drawn.
- the intent recognition can be performed in a conventional manner; Step 3: Perform a similarity calculation on the vector generated by the user image and the vector of each candidate intent; Step 4: use the similarity calculated in the above step 3 as another score, and weight and add the weight obtained by the traditional method. Row, and the candidate with the highest score is the intent of the final output.
- said step 2-4 is performed on a server.
- the present invention also provides an intent scene recognition method based on a user portrait, comprising: step 1: user inputting text; step 2: performing intent recognition according to the text, and scoring each of the obtained candidate intents Step 3: Calculate the similarity of the vector generated by the user image and the vector of each candidate intent; Step 4: Use the similarity calculated in the above step 3 as another score, and weight-add the scores obtained by the traditional method. Rearrange and use the highest-scoring candidate intent as the intent of the final output.
- said step 2-4 is performed on a server.
- the present invention further provides an intent scene recognition system based on a user portrait, comprising: a multi-modal input conversion module, configured to convert a multi-modal input input by a user into a multi-modal input, and convert the same a text; an intent recognition module, configured to perform intent recognition according to the converted text, and score each of the obtained candidate intents; a user portrait similarity calculation module, a vector for generating the user image and each candidate The intent vector performs a similarity calculation; and an intent output module is used to use the calculated similarity as another score, weighted addition and rearrangement with the score obtained by the traditional method, and the candidate intention with the highest score is taken as the final intention Output.
- a multi-modal input conversion module configured to convert a multi-modal input input by a user into a multi-modal input, and convert the same a text
- an intent recognition module configured to perform intent recognition according to the converted text, and score each of the obtained candidate intents
- a user portrait similarity calculation module a vector for generating the user image and
- the intent recognition module, the user portrait similarity calculation module, and the intent output module are on a server.
- the present invention further provides an intent scene recognition system based on a user portrait, comprising: a text input module for receiving text input by a user; and an intent recognition module for performing intent recognition according to the received text And scoring each candidate intent; the user portrait similarity calculation module is configured to perform a similarity calculation on the vector generated by the user image and the vector of each candidate intent; and an intent output module for calculating Similarity is used as another score, and the scores obtained by the traditional method are weighted and rearranged, and the candidate with the highest score is taken as the final score. Intent output.
- the intent recognition module, the user portrait similarity calculation module, and the intent output module are on a server.
- the similarity calculation is performed on the user portrait vector and the intention recognition vector, and the calculated similarity is weighted with the intention recognition score obtained by the traditional method, and the obtained result is more accurate.
- FIG. 1 is a flowchart of an intent scene recognition method based on a user image according to an embodiment of the present invention
- FIG. 2 is a schematic structural diagram of an intent scene recognition system based on a user portrait according to an embodiment of the present invention
- FIG. 3 is a schematic structural diagram of an intent scene recognition system based on a user portrait according to another embodiment of the present invention.
- FIG. 1 is a flowchart of a method for identifying an intended scene based on a user image according to an embodiment of the present invention, including the following steps:
- Step 1 The user enters the multimodal input and performs multimodal input conversion on the input multimodal input to convert it into text. For example, a user enters a voice and performs a voice conversion on the input voice to turn it into a text question.
- multimodal input includes, but is not limited to, Frequency, face, expression, scene, voiceprint, fingerprint, iris pupil, light perception, and other information.
- Step 2 Intent recognition based on the converted text and scoring each of the intents drawn.
- the intent recognition can be performed in a conventional manner;
- Step 3 Perform a similarity calculation on the vector generated by the user image and the vector of each candidate intent
- Step 4 The similarity calculated in the above step 3 is taken as another score, and the scores obtained by the conventional method are weighted and added, rearranged, and the candidate intention with the highest score is taken as the final output intention.
- the user can directly input the text question, and the steps 2-4 are performed on the server.
- the steps of inputting voice and voice conversion are not necessary.
- FIG. 2 is a schematic structural diagram of an intent scene recognition system based on a user portrait according to an embodiment of the present invention, including a multi-modal input conversion module (eg, a voice input conversion module), an intent recognition module, and a user portrait similarity calculation module. And an intent output module.
- a multi-modal input conversion module eg, a voice input conversion module
- an intent recognition module e.g, a user portrait similarity calculation module
- a user portrait similarity calculation module e.g., a user portrait similarity calculation module.
- the voice input conversion module is configured to convert the voice input by the user into a voice, and convert the voice into a text; the intent recognition module is configured to perform the intent recognition according to the converted text, and score each of the obtained candidate intents; a user portrait similarity calculation module, configured to perform a similarity calculation on a vector generated by the user image and a vector of each candidate intent; and an intention output module, configured to use the calculated similarity as another score, and the traditional method
- the scores are weighted and reordered, and the candidate with the highest score is output as the final intent.
- FIG. 3 is a schematic structural diagram of an intent scene recognition system based on a user portrait according to another embodiment of the present invention, including a text input module, an intent recognition module, a user portrait similarity calculation module, and an intent output module.
- the text input module is configured to receive text input by the user and send the text to the intent recognition module;
- the intent identification module is configured to perform intent recognition according to the received text, and score each of the obtained candidate intents;
- the user image similarity a calculation module for performing a similarity calculation on a vector generated by the user image and a vector of each candidate intent; and an intention output module for using the calculated similarity as another score, and weighting the score obtained by the traditional method Add, rearrange, and output the candidate with the highest score as the final intent.
- the intent recognition module, the user portrait similarity calculation module, and the intent The output module is on the server.
- the method and system for intent-based scene recognition based on user portrait realizes intent recognition by means of user portraits, can satisfy personalized functions, and improve accuracy.
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Human Computer Interaction (AREA)
- Image Analysis (AREA)
- Machine Translation (AREA)
Abstract
Description
本发明涉及数据处理技术领域，并且特别涉及一种基于用户画像的意图场景识别方法及系统。The present invention relates to the field of data processing technologies, and in particular, to a method and system for intent scene recognition based on a user portrait.
用户画像，又称为用户角色(Persona)，是一种勾画目标用户、联系用户诉求与设计方向的有效工具。例如在产品开发时，可用于对产品进行定位与规划；在具体实现时，可以将用户画像作为刻画用户特征的标签(tag)集合，例如：年龄、性别、学历等基础属性，或者用户的兴趣特征等；在产品推广时，可根据用户画像挖掘潜在客户群体，进行有针对性的产品推荐。随着信息技术的不断发展，用户画像也逐渐应用于更多领域中。The user portrait, also known as the user role (Persona), is an effective tool for sketching the target user, contacting the user's appeal and design direction. For example, in the product development, it can be used to locate and plan the product; in the specific implementation, the user portrait can be used as a collection of tags for characterizing the user, such as basic attributes such as age, gender, education, or user interest. Features, etc.; during product promotion, potential customer groups can be mined based on user images for targeted product recommendations. With the continuous development of information technology, user portraits are gradually being applied to more fields.
随着人们对快速、准确地获取信息的需求不断增加，意图识别技术逐渐兴起，其能分析用户的意图并为用户返回一个简洁、准确的答案。但现有的意图识别都是通过本次交互所输入的信息来进行判断，对于用户没有个性化，同时容易出错，用户体验不够好。As the need for fast and accurate access to information continues to increase, intent recognition technology is emerging, analyzing user intent and returning a concise, accurate answer to the user. However, the existing intent recognition is judged by the information input by the interaction, and the user is not personalized, and is easy to make mistakes, and the user experience is not good enough.
发明内容Summary of the invention
针对现有技术的不足，本发明提供一种基于用户画像的意图场景识别方法及系统，采用将用户画像向量与传统意图识别的向量相结合的方式，得到具有个性化的回答生成，实现问答的个性化体验，并大大提高准确率。In view of the deficiencies of the prior art, the present invention provides a method and system for intent scene recognition based on a user portrait, which combines a user portrait vector with a vector of traditional intent recognition to obtain a personalized answer generation and realize a question and answer. Personalize the experience and greatly improve the accuracy.
为解决上述技术问题，本发明提供一种基于用户画像的意图场景识别方法，包括：步骤1：用户输入多模态输入，并对所述多模态输入进行多模态输入转化，将其转化为文本；步骤2：根据转化的文本进行意图识别，并对得出的每一个意图进行打分。在本发明实施例中，可使用传统的方式进行意图识别；步 骤3：将用户画像生成的向量和每一个候选意图的向量进行相似度计算；步骤4：将上述步骤3计算的相似度作为另一个分数，与传统方式得出的分数进行加权相加、重排，并将得分最高的候选意图作为最终输出的意图。To solve the above technical problem, the present invention provides an intent scene recognition method based on a user portrait, comprising: Step 1: A user inputs a multimodal input, and performs multimodal input conversion on the multimodal input, and converts the same For text; Step 2: Intent recognition based on the converted text and scoring each of the intents drawn. In the embodiment of the present invention, the intent recognition can be performed in a conventional manner; Step 3: Perform a similarity calculation on the vector generated by the user image and the vector of each candidate intent; Step 4: use the similarity calculated in the above step 3 as another score, and weight and add the weight obtained by the traditional method. Row, and the candidate with the highest score is the intent of the final output.
优选地，所述步骤2-4是在服务器上执行。Preferably, said step 2-4 is performed on a server.
本发明还提供一种基于用户画像的意图场景识别方法，其特征在于，包括：步骤1：用户输入文本；步骤2：根据所述文本进行意图识别，并对得出的每一个候选意图进行打分；步骤3：将用户画像生成的向量和每一个候选意图的向量进行相似度计算；步骤4：将上述步骤3计算的相似度作为另一个分数，与传统方式得出的分数进行加权相加、重排，并将得分最高的候选意图作为最终输出的意图。The present invention also provides an intent scene recognition method based on a user portrait, comprising: step 1: user inputting text; step 2: performing intent recognition according to the text, and scoring each of the obtained candidate intents Step 3: Calculate the similarity of the vector generated by the user image and the vector of each candidate intent; Step 4: Use the similarity calculated in the above step 3 as another score, and weight-add the scores obtained by the traditional method. Rearrange and use the highest-scoring candidate intent as the intent of the final output.
优选地，所述步骤2-4是在服务器上执行。Preferably, said step 2-4 is performed on a server.
为解决上述技术问题，本发明还提供一种基于用户画像的意图场景识别系统，包括：多模态输入转化模块，用于将用户输入的多模态输入进行多模态输入转化，将其转化为文本；意图识别模块，用于根据所述转化的文本进行意图识别，并对得出的每一个候选意图进行打分；用户画像相似度计算模块，用于将用户画像生成的向量和每一个候选意图的向量进行相似度计算；以及意图输出模块，用于将计算的相似度作为另一个分数，与传统方式得出的分数进行加权相加、重排，并将得分最高的候选意图作为最终意图输出。In order to solve the above technical problem, the present invention further provides an intent scene recognition system based on a user portrait, comprising: a multi-modal input conversion module, configured to convert a multi-modal input input by a user into a multi-modal input, and convert the same a text; an intent recognition module, configured to perform intent recognition according to the converted text, and score each of the obtained candidate intents; a user portrait similarity calculation module, a vector for generating the user image and each candidate The intent vector performs a similarity calculation; and an intent output module is used to use the calculated similarity as another score, weighted addition and rearrangement with the score obtained by the traditional method, and the candidate intention with the highest score is taken as the final intention Output.
优选地，所述意图识别模块、用户画像相似度计算模块、和意图输出模块是在服务器上。Preferably, the intent recognition module, the user portrait similarity calculation module, and the intent output module are on a server.
为解决上述技术问题，本发明还提供一种基于用户画像的意图场景识别系统，包括：文本输入模块，用于接收用户输入的文本；意图识别模块，用于根据接收的所述文本进行意图识别，并对得出的每一个候选意图进行打分；用户画像相似度计算模块，用于将用户画像生成的向量和每一个候选意图的向量进行相似度计算；以及意图输出模块，用于将计算的相似度作为另一个分数，与传统方式得出的分数进行加权相加、重排，并将得分最高的候选意图作为最终 意图输出。In order to solve the above technical problem, the present invention further provides an intent scene recognition system based on a user portrait, comprising: a text input module for receiving text input by a user; and an intent recognition module for performing intent recognition according to the received text And scoring each candidate intent; the user portrait similarity calculation module is configured to perform a similarity calculation on the vector generated by the user image and the vector of each candidate intent; and an intent output module for calculating Similarity is used as another score, and the scores obtained by the traditional method are weighted and rearranged, and the candidate with the highest score is taken as the final score. Intent output.
优选地，所述意图识别模块、用户画像相似度计算模块、和意图输出模块是在服务器上。Preferably, the intent recognition module, the user portrait similarity calculation module, and the intent output module are on a server.
总体而言，相较于现有技术，本发明的技术方案具有以下有益效果：In general, the technical solution of the present invention has the following beneficial effects compared to the prior art:
1、通过用户画像进行意图识别能满足个性化的特点；1. Intent recognition by user portrait can satisfy the characteristics of individuality;
2、将用户画像向量与意图识别向量进行相似度计算，并将计算的相似度与传统方式得到的意图识别分数进行加权计算，得到的结果更准确。2. The similarity calculation is performed on the user portrait vector and the intention recognition vector, and the calculated similarity is weighted with the intention recognition score obtained by the traditional method, and the obtained result is more accurate.
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and other drawings can be obtained from those skilled in the art without any creative work.
图1是本发明一实施例提供的基于用户画像的意图场景识别方法的流程图；1 is a flowchart of an intent scene recognition method based on a user image according to an embodiment of the present invention;
图2是本发明一实施例提供的基于用户画像的意图场景识别系统的结构示意图；2 is a schematic structural diagram of an intent scene recognition system based on a user portrait according to an embodiment of the present invention;
图3是本发明另一实施例提供的基于用户画像的意图场景识别系统的结构示意图。FIG. 3 is a schematic structural diagram of an intent scene recognition system based on a user portrait according to another embodiment of the present invention.
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
图1所示为本发明一实施例提供的基于用户画像的意图场景识别方法的流程图，包括以下步骤：FIG. 1 is a flowchart of a method for identifying an intended scene based on a user image according to an embodiment of the present invention, including the following steps:
步骤1：用户输入多模态输入，并对输入的多模态输入进行多模态输入转化，将其转化为文本。例如，用户输入语音，并对输入的语音进行语音转化，将其转化为文本问题。请注意，本文所指的“多模态输入”包括但不限于，视 频、人脸、表情、场景、声纹、指纹、虹膜瞳孔、光感、等信息。Step 1: The user enters the multimodal input and performs multimodal input conversion on the input multimodal input to convert it into text. For example, a user enters a voice and performs a voice conversion on the input voice to turn it into a text question. Please note that the term "multimodal input" as used herein includes, but is not limited to, Frequency, face, expression, scene, voiceprint, fingerprint, iris pupil, light perception, and other information.
步骤2：根据转化的文本进行意图识别，并对得出的每一个意图进行打分。在本发明实施例中，可使用传统的方式进行意图识别；Step 2: Intent recognition based on the converted text and scoring each of the intents drawn. In the embodiment of the present invention, the intent recognition can be performed in a conventional manner;
步骤3：将用户画像生成的向量和每一个候选意图的向量进行相似度计算；Step 3: Perform a similarity calculation on the vector generated by the user image and the vector of each candidate intent;
步骤4：将上述步骤3计算的相似度作为另一个分数，与传统方式得出的分数进行加权相加、重排，并将得分最高的候选意图作为最终输出的意图。Step 4: The similarity calculated in the above step 3 is taken as another score, and the scores obtained by the conventional method are weighted and added, rearranged, and the candidate intention with the highest score is taken as the final output intention.
其中，所述步骤1中，用户也可以直接输入文本问题，并且所述步骤2-4是在服务器上执行。也就是说，输入语音以及语音转化的步骤并非是必要的。Wherein, in the step 1, the user can directly input the text question, and the steps 2-4 are performed on the server. In other words, the steps of inputting voice and voice conversion are not necessary.
图2所示为本发明一实施例提供的基于用户画像的意图场景识别系统的结构示意图，包括多模态输入转化模块(例如，语音输入转化模块)、意图识别模块、用户画像相似度计算模块以及意图输出模块。其中，语音输入转化模块，用于将用户输入的语音进行语音转化，将其转化为文本；意图识别模块，用于根据转化的文本进行意图识别，并对得出的每一个候选意图进行打分；用户画像相似度计算模块，用于将用户画像生成的向量和每一个候选意图的向量进行相似度计算；以及意图输出模块，用于将计算的相似度作为另一个分数，与传统方式得出的分数进行加权相加、重排，并将得分最高的候选意图作为最终意图输出。FIG. 2 is a schematic structural diagram of an intent scene recognition system based on a user portrait according to an embodiment of the present invention, including a multi-modal input conversion module (eg, a voice input conversion module), an intent recognition module, and a user portrait similarity calculation module. And an intent output module. The voice input conversion module is configured to convert the voice input by the user into a voice, and convert the voice into a text; the intent recognition module is configured to perform the intent recognition according to the converted text, and score each of the obtained candidate intents; a user portrait similarity calculation module, configured to perform a similarity calculation on a vector generated by the user image and a vector of each candidate intent; and an intention output module, configured to use the calculated similarity as another score, and the traditional method The scores are weighted and reordered, and the candidate with the highest score is output as the final intent.
图3所示为本发明另一实施例提供的基于用户画像的意图场景识别系统的结构示意图，包括文本输入模块、意图识别模块、用户画像相似度计算模块以及意图输出模块。其中，文本输入模块，用于接收用户输入的文本并发送至意图识别模块；意图识别模块，用于根据接收的文本进行意图识别，并对得出的每一个候选意图进行打分；用户画像相似度计算模块，用于将用户画像生成的向量和每一个候选意图的向量进行相似度计算；以及意图输出模块，用于将计算的相似度作为另一个分数，与传统方式得出的分数进行加权相加、重排，并将得分最高的候选意图作为最终意图输出。FIG. 3 is a schematic structural diagram of an intent scene recognition system based on a user portrait according to another embodiment of the present invention, including a text input module, an intent recognition module, a user portrait similarity calculation module, and an intent output module. The text input module is configured to receive text input by the user and send the text to the intent recognition module; the intent identification module is configured to perform intent recognition according to the received text, and score each of the obtained candidate intents; the user image similarity a calculation module for performing a similarity calculation on a vector generated by the user image and a vector of each candidate intent; and an intention output module for using the calculated similarity as another score, and weighting the score obtained by the traditional method Add, rearrange, and output the candidate with the highest score as the final intent.
在一个实施例中，所述意图识别模块、用户画像相似度计算模块、和意图 输出模块是在服务器上。In one embodiment, the intent recognition module, the user portrait similarity calculation module, and the intent The output module is on the server.
本发明提供的基于用户画像的意图场景识别方法及系统，通过用户画像的方式来实现意图识别，能满足个性化的功能，并提高了准确率。The method and system for intent-based scene recognition based on user portrait provided by the present invention realizes intent recognition by means of user portraits, can satisfy personalized functions, and improve accuracy.
以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。 The above is only the preferred embodiment of the present invention, and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection of the present invention. Within the scope.
Claims (8)
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201680001743.8A CN106489148A (en) | 2016-06-29 | 2016-06-29 | A kind of intention scene recognition method that is drawn a portrait based on user and system |
| PCT/CN2016/087756 WO2018000271A1 (en) | 2016-06-29 | 2016-06-29 | Intention scene recognition method and system based on user portrait |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2016/087756 WO2018000271A1 (en) | 2016-06-29 | 2016-06-29 | Intention scene recognition method and system based on user portrait |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2018000271A1 true WO2018000271A1 (en) | 2018-01-04 |
Family
ID=58286072
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/CN2016/087756 Ceased WO2018000271A1 (en) | 2016-06-29 | 2016-06-29 | Intention scene recognition method and system based on user portrait |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN106489148A (en) |
| WO (1) | WO2018000271A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109783730A (en) * | 2019-01-03 | 2019-05-21 | 深圳壹账通智能科技有限公司 | Products Show method, apparatus, computer equipment and storage medium |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109176535B (en) * | 2018-07-16 | 2021-10-19 | 北京光年无限科技有限公司 | Interaction method and system based on intelligent robot |
| CN109783733B (en) * | 2019-01-15 | 2020-11-06 | 腾讯科技（深圳）有限公司 | User image generation device and method, information processing device, and storage medium |
| CN111737670B (en) * | 2019-03-25 | 2023-08-18 | 广州汽车集团股份有限公司 | Method, system and vehicle-mounted multimedia device for multi-mode data collaborative man-machine interaction |
| CN110457447A (en) * | 2019-05-15 | 2019-11-15 | 国网浙江省电力有限公司电力科学研究院 | A task-based dialog system for power grid |
| CN110136699A (en) * | 2019-07-10 | 2019-08-16 | 南京硅基智能科技有限公司 | A kind of intension recognizing method based on text similarity |
| CN114692639B (en) * | 2020-12-25 | 2025-03-14 | 华为技术有限公司 | Text error correction method and electronic device |
| CN112991004A (en) * | 2021-02-06 | 2021-06-18 | 上海红星美凯龙泛家信息服务有限公司 | Interest classification scoring method and system based on portrait and computer storage medium |
| CN119807389B (en) * | 2024-12-18 | 2025-11-21 | 北京网聘信息技术有限公司 | System and method for automatically analyzing query request submitted by job seeker or recruiter |
| CN120998202B (en) * | 2025-10-23 | 2026-01-30 | 快上云(上海)网络科技有限公司 | A Smart Dialogue Method and System for Elderly Companionship Based on User Profiles |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104951428A (en) * | 2014-03-26 | 2015-09-30 | 阿里巴巴集团控股有限公司 | User intention recognition method and device |
| CN105095357A (en) * | 2015-06-24 | 2015-11-25 | 百度在线网络技术（北京）有限公司 | Method and device for processing consultation data |
| CN105183848A (en) * | 2015-09-07 | 2015-12-23 | 百度在线网络技术（北京）有限公司 | Human-computer chatting method and device based on artificial intelligence |
| CN105487663A (en) * | 2015-11-30 | 2016-04-13 | 北京光年无限科技有限公司 | Intelligent robot oriented intention identification method and system |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8311294B2 (en) * | 2009-09-08 | 2012-11-13 | Facedouble, Inc. | Image classification and information retrieval over wireless digital networks and the internet |
| CN102800006B (en) * | 2012-07-23 | 2016-09-14 | 姚明东 | The real-time Method of Commodity Recommendation excavated it is intended to based on Customer Shopping |
| CN103235812B (en) * | 2013-04-24 | 2015-04-01 | 中国科学院计算技术研究所 | Method and system for identifying multiple query intents |
| CN105068661B (en) * | 2015-09-07 | 2018-09-07 | 百度在线网络技术（北京）有限公司 | Man-machine interaction method based on artificial intelligence and system |
-
2016
- 2016-06-29 WO PCT/CN2016/087756 patent/WO2018000271A1/en not_active Ceased
- 2016-06-29 CN CN201680001743.8A patent/CN106489148A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104951428A (en) * | 2014-03-26 | 2015-09-30 | 阿里巴巴集团控股有限公司 | User intention recognition method and device |
| CN105095357A (en) * | 2015-06-24 | 2015-11-25 | 百度在线网络技术（北京）有限公司 | Method and device for processing consultation data |
| CN105183848A (en) * | 2015-09-07 | 2015-12-23 | 百度在线网络技术（北京）有限公司 | Human-computer chatting method and device based on artificial intelligence |
| CN105487663A (en) * | 2015-11-30 | 2016-04-13 | 北京光年无限科技有限公司 | Intelligent robot oriented intention identification method and system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109783730A (en) * | 2019-01-03 | 2019-05-21 | 深圳壹账通智能科技有限公司 | Products Show method, apparatus, computer equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106489148A (en) | 2017-03-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2018000271A1 (en) | Intention scene recognition method and system based on user portrait | |
| WO2018000270A1 (en) | Personalized response generating method and system based on profile | |
| CN107492379B (en) | Voiceprint creating and registering method and device | |
| CN112466288B (en) | Voice recognition method and device, electronic equipment and storage medium | |
| US10642887B2 (en) | Multi-modal image ranking using neural networks | |
| CN109271537B (en) | Text-to-image generation method and system based on distillation learning | |
| US10068588B2 (en) | Real-time emotion recognition from audio signals | |
| US9501503B2 (en) | Inferring entity attribute values | |
| WO2020143844A1 (en) | Intent analysis method and apparatus, display terminal, and computer readable storage medium | |
| WO2020155766A1 (en) | Method, device and apparatus for identification rejection in intention identification, and storage medium | |
| WO2021051598A1 (en) | Text sentiment analysis model training method, apparatus and device, and readable storage medium | |
| US20180293990A1 (en) | Method and device for processing voiceprint authentication | |
| JP2014170295A (en) | Object recognition system and object recognition method | |
| Xia et al. | Audiovisual speech recognition: A review and forecast | |
| CN113450759A (en) | Voice generation method, device, electronic equipment and storage medium | |
| CN110717021B (en) | Input text acquisition and related device in artificial intelligence interview | |
| CN111368066B (en) | Method, apparatus and computer readable storage medium for obtaining dialogue abstract | |
| CN117093687B (en) | Question answering method and device, electronic device, and storage medium | |
| CN117315334B (en) | Image classification method, model training method, device, equipment and medium | |
| JP7280705B2 (en) | Machine learning device, program and machine learning method | |
| KR20200010650A (en) | Deep Learning Based Automatic Gesture Recognition Method and System | |
| CN119204208B (en) | User question-answering method, device, equipment, medium, and product | |
| Zhao et al. | A survey on automatic emotion recognition using audio big data and deep learning architectures | |
| CN113743267A (en) | Multi-mode video emotion visualization method and device based on spiral and text | |
| CN112099633A (en) | An intelligent experimental method and device for multimodal perception |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 16906672 Country of ref document: EP Kind code of ref document: A1 |
|
| NENP | Non-entry into the national phase |
Ref country code: DE |
|
| 122 | Ep: pct application non-entry in european phase |
Ref document number: 16906672 Country of ref document: EP Kind code of ref document: A1 |