CN111191110A - User intention estimation method - Google Patents
User intention estimation method Download PDFInfo
- Publication number
- CN111191110A CN111191110A CN201910414050.7A CN201910414050A CN111191110A CN 111191110 A CN111191110 A CN 111191110A CN 201910414050 A CN201910414050 A CN 201910414050A CN 111191110 A CN111191110 A CN 111191110A
- Authority
- CN
- China
- Prior art keywords
- user
- intention
- unit
- estimation
- intent
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
- G06F16/9536—Search customisation based on social or collaborative filtering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Finance (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Engineering & Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Economics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a user intention estimation method, which comprises the following steps: s1: estimating a user intention; s2: the user intent is assigned to an idle processing unit. The method and the device can analyze the user intention, estimate the user intention based on the characteristics of the user intention and the attribute of the user sending the user intention, allocate the user intention only under the condition that the estimation is passed, and improve the credibility and feasibility of user intention processing.
Description
[ technical field ] A method for producing a semiconductor device
The invention belongs to the field of user service processing, and particularly relates to a user intention estimation method.
[ background of the invention ]
In a user-centric information service recommendation system, context awareness is the most basic element, and context refers to all information that can be used to characterize the user's condition. User interaction with the information service recommendation system, which may occur in the user's office or living room, or may occur through a handheld device, is typically immediate and does not have detailed historical information records. In today's world, where the amount of information is increasing, it is becoming increasingly important to be able to discover or more precisely present information that may be of interest to people. The information may relate to many different things about different services. Based on the above problems, a new user intention estimation method is needed, and the present invention can analyze the user intention, estimate the user intention based on the characteristics of the user intention and the attributes of the user who sent the user intention, allocate the user intention only when the estimation is passed, and improve the credibility and feasibility of the user intention processing.
[ summary of the invention ]
In order to solve the above problems in the prior art, the present invention provides a method for estimating a user intention, the method comprising the steps of:
s1: estimating a user intention;
s2: the user intent is assigned to an idle processing unit.
Further, the step S1 is specifically: the client receives user intentions sent from each application program on the operating system, if the user intentions are user intentions which can be processed by the local processing unit, the user intentions are not processed, otherwise, the user intentions are estimated; if the estimation is not passed, sending user feedback; otherwise, the user intent is sent to the centralized processing unit.
Further, estimating the user intention specifically includes: and carrying out feasibility estimation on the user intention, and carrying out credibility estimation on the user intention.
Further, the performing feasibility estimation on the user intention specifically includes: extracting a set of unit intention types and intention numbers OPN thereof contained in the user intention, acquiring unit operation time OPT for executing the unit intention types based on the unit intention types, acquiring a binary set { OPTi, OPNi } corresponding to all the unit intention types in the user intention, and calculating the complexity OCPLX of the user intention based on the following formula (1); acquiring a complexity threshold, and if the complexity exceeds the complexity threshold, determining that the feasibility estimation is unqualified; otherwise, the feasibility estimation is qualified;
wherein: OPTi is the unit operation time of the ith unit intention type, and OPNi is the intention quantity of the ith unit intention type; the unit operation time indicates a time required to execute the unit intent type with the unit processing unit.
Further, the unit processing unit is a preset unit size.
Further, the preset unit size is obtained from a cloud server.
Further, the credibility estimation of the user intention specifically includes: and carrying out credibility estimation on unit intention types in the user intention, and credibility estimation on unit intention sequences in the user intention.
Further, the credibility estimation on the unit intention type in the user intention specifically includes: acquiring a user identifier sending the user intention, and searching unit intention type limitation aiming at the user based on the user identifier; performing a credibility estimation on the unit intent type based on the unit intent type limit; if the unit intent type limit is satisfied, the credibility estimate passes, otherwise, the credibility estimate does not pass.
The beneficial effects of the invention include: the user intention analysis method and the system can analyze the user intention, estimate the user intention based on the characteristics of the user intention and the attribute of the user sending the user intention, distribute the user intention only under the condition that the estimation is passed, and improve the credibility and feasibility of the user intention processing.
[ description of the drawings ]
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, and are not to be considered limiting of the invention, in which:
FIG. 1 is a flow chart of a user intent estimation method of the present invention.
[ detailed description ] embodiments
The present invention will now be described in detail with reference to the drawings and specific embodiments, wherein the exemplary embodiments and descriptions are provided only for the purpose of illustrating the present invention and are not to be construed as limiting the present invention.
A user intention estimation method to which the present invention is applied will be described in detail, the method including the steps of:
s1: estimating a user intention; the method specifically comprises the following steps: the client receives user intentions sent from each application program on the operating system, if the user intentions are user intentions which can be processed by the local processing unit, the user intentions are not processed, otherwise, the user intentions are estimated; if the estimation is not passed, sending user feedback; otherwise, sending the user intention to the centralized processing unit;
the estimating of the user intention is specifically: carrying out feasibility estimation on the user intention, and carrying out credibility estimation on the user intention;
the feasibility estimation of the user intention specifically comprises the following steps: extracting a set of unit intention types and intention numbers OPN thereof contained in the user intention, acquiring unit operation time OPT for executing the unit intention types based on the unit intention types, acquiring a binary set { OPTi, OPNi } corresponding to all the unit intention types in the user intention, and calculating the complexity OCPLX of the user intention based on the following formula (1); acquiring a complexity threshold, and if the complexity exceeds the complexity threshold, determining that the feasibility estimation is unqualified; otherwise, the feasibility estimation is qualified;
wherein: OPTi is the unit operation time of the ith unit intention type, and OPNi is the intention quantity of the ith unit intention type; a unit operation time indicates a time required to execute the unit intent type with a unit processing unit; preferably: the processing unit comprises a computing unit, a storage unit and a communication unit;
preferably: the unit processing unit is a preset unit size; the size of the preset unit is obtained from a cloud server;
preferably: dynamically updating the preset cell size based on the development of the processing cell
The obtaining the complexity threshold specifically includes: acquiring a current idle processing unit from a centralized processing unit, and acquiring a complexity threshold corresponding to the current idle processing unit; alternatively, an idle processing unit at a next time point is predicted based on a current idle processing unit, if the idle processing unit shows an increasing trend, a complexity threshold corresponding to the current idle processing unit is obtained, otherwise, the complexity threshold corresponding to the idle processing unit at the next time point is obtained; preferably: the next time point is the nearest next time node estimated by the idle processing unit;
the predicting of the idle processing unit at the next time point based on the current idle processing unit specifically includes: predicting based on the length of a queue to be processed of an idle processing unit and the processing capacity of the idle processing unit;
the credibility estimation of the user intention specifically comprises: carrying out credibility estimation on unit intention types in the user intention, and carrying out credibility estimation on unit intention sequences in the user intention;
preferably; the unit intention sequence comprises or comprises a plurality of unit intents with precedence relationship;
the credibility estimation of the unit intention type in the user intention specifically comprises: acquiring a user identifier sending the user intention, and searching unit intention type limitation aiming at the user based on the user identifier; performing a credibility estimation on the unit intent type based on the unit intent type limit; if the unit intention type limit is met, the credibility estimation is passed, otherwise, the credibility estimation is not passed;
preferably: the unit intent type limit comprises a disallowed unit intent type and/or a unit intent number limit for a specified unit intent type; saving the user identification and the corresponding unit intention type limit in the cloud server;
the credibility estimation of the unit intention sequence in the user intention specifically comprises: determining whether a disallowed sequence of unit intents exists in the user intent; if the impermissible unit intention sequence does not exist, the credibility estimation is passed, otherwise, the credibility estimation is not passed; preferably: the disallowed unit intent sequence is disallowed for the user or disallowed for all users;
the sending of the user feedback specifically includes: sending a message which is not estimated to pass by the user intention to the user, and adding a reason for not estimating to pass in the message;
s2: assigning a user intent to an idle processing unit; specifically, the method comprises the following steps: randomly selecting an idle processing unit from a set of processing units, generating a user intention request based on a user intention, and allocating the user intention request to the selected idle processing unit;
the above description is only a preferred embodiment of the present invention, and all equivalent changes or modifications of the structure, characteristics and principles described in the present invention are included in the scope of the present invention.
Claims (8)
1. A method for estimating user intention, the method comprising the steps of:
s1: estimating a user intention;
s2: the user intent is assigned to an idle processing unit.
2. The method according to claim 1, wherein the step S1 is specifically: the client receives user intentions sent from each application program on the operating system, if the user intentions are user intentions which can be processed by the local processing unit, the user intentions are not processed, otherwise, the user intentions are estimated; if the estimation is not passed, sending user feedback; otherwise, the user intent is sent to the centralized processing unit.
3. The method according to claim 2, wherein estimating the user intent specifically comprises: and carrying out feasibility estimation on the user intention, and carrying out credibility estimation on the user intention.
4. The method according to claim 3, wherein the feasibility estimation of the user intent is specifically: extracting a set of unit intention types and intention numbers OPN thereof contained in the user intention, acquiring unit operation time OPT for executing the unit intention types based on the unit intention types, acquiring a binary set { OPTi, OPNi } corresponding to all the unit intention types in the user intention, and calculating the complexity OCPLX of the user intention based on the following formula (1); acquiring a complexity threshold, and if the complexity exceeds the complexity threshold, determining that the feasibility estimation is unqualified; otherwise, the feasibility estimation is qualified;
wherein: OPTi is the unit operation time of the ith unit intention type, and OPNi is the intention quantity of the ith unit intention type; the unit operation time indicates a time required to execute the unit intent type with the unit processing unit.
5. The method according to claim 4, wherein the unit processing unit is a preset unit size.
6. The method according to claim 5, wherein the preset cell size is acquired from a cloud server.
7. The method according to claim 6, wherein the credibility estimation of the user intention is: and carrying out credibility estimation on unit intention types in the user intention, and credibility estimation on unit intention sequences in the user intention.
8. The method according to claim 7, wherein the credibility estimation for the unit intent type of the user intent is as follows: acquiring a user identifier sending the user intention, and searching unit intention type limitation aiming at the user based on the user identifier; performing a credibility estimation on the unit intent type based on the unit intent type limit; if the unit intent type limit is satisfied, the credibility estimate passes, otherwise, the credibility estimate does not pass.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910414050.7A CN111191110A (en) | 2019-05-17 | 2019-05-17 | User intention estimation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910414050.7A CN111191110A (en) | 2019-05-17 | 2019-05-17 | User intention estimation method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111191110A true CN111191110A (en) | 2020-05-22 |
Family
ID=70707196
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910414050.7A Pending CN111191110A (en) | 2019-05-17 | 2019-05-17 | User intention estimation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111191110A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103064949A (en) * | 2011-12-27 | 2013-04-24 | 微软公司 | Method for providing application results based on user intention |
| CN107077692A (en) * | 2014-10-30 | 2017-08-18 | 甲骨文国际公司 | User view is classified based on the positional information transmitted from mobile device electronics |
| CN109218281A (en) * | 2017-06-29 | 2019-01-15 | 瞻博网络公司 | Network security policy modification based on intention |
| CN109522472A (en) * | 2018-09-30 | 2019-03-26 | 中国农业大学烟台研究院 | A kind of user's intention estimation method |
-
2019
- 2019-05-17 CN CN201910414050.7A patent/CN111191110A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103064949A (en) * | 2011-12-27 | 2013-04-24 | 微软公司 | Method for providing application results based on user intention |
| CN107077692A (en) * | 2014-10-30 | 2017-08-18 | 甲骨文国际公司 | User view is classified based on the positional information transmitted from mobile device electronics |
| CN109218281A (en) * | 2017-06-29 | 2019-01-15 | 瞻博网络公司 | Network security policy modification based on intention |
| CN109522472A (en) * | 2018-09-30 | 2019-03-26 | 中国农业大学烟台研究院 | A kind of user's intention estimation method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6637620B2 (en) | Agent allocation method, apparatus, server and recording medium | |
| CN108776934B (en) | Distributed data calculation method and device, computer equipment and readable storage medium | |
| WO2019085405A1 (en) | Customer service staff session allocation method, electronic device， and computer-readable storage medium | |
| US11102641B2 (en) | SIM card status determination method and SIM card status determination device | |
| CN106506433B (en) | Login authentication method, authentication server, authentication client and login client | |
| CN110839084B (en) | Session management method, device, equipment and medium | |
| EP2363806A1 (en) | Connection handler and method for providing applications with heterogeneous connection objects | |
| CN110795244A (en) | Task allocation method, device, equipment and medium | |
| CN107888660B (en) | Cloud service resource allocation method, medium, device and computing equipment | |
| WO2019237591A1 (en) | File format conversion method and apparatus, computer device, and storage medium | |
| US11956132B2 (en) | Analytics generation and consumption in a mobile network | |
| JP2003058376A (en) | Distribution system, distribution server and its distribution method, and distribution program | |
| CN109428926B (en) | Method and device for scheduling task nodes | |
| CN113721811B (en) | Popup window sending method, popup window sending device, electronic equipment and computer readable medium | |
| CN110868323A (en) | Bandwidth control method, device, equipment and medium | |
| CN112118189B (en) | Flow sampling method, computer equipment and computer readable storage medium | |
| CN111049751B (en) | Data transmission optimization method, device, equipment and readable storage medium | |
| US20150079966A1 (en) | Methods for facilitating telecommunication network administration and devices thereof | |
| CN112751685B (en) | Method, device and system for configuring user plane capacity of network slice | |
| CN111191110A (en) | User intention estimation method | |
| CN115484167B (en) | Network slice shutdown method in communication network, computer device and storage medium | |
| KR101609056B1 (en) | Smart context distribution framework based on messaging service for internet of things and control method for the same | |
| EP4013087A1 (en) | System and method for 5g mobile network management | |
| CN113271228B (en) | Bandwidth resource scheduling method, device, equipment and computer readable storage medium | |
| CN113904940A (en) | Resource adjusting method and device, electronic equipment and computer readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200909 Address after: Room 2047, 2 / F, building 1, No.6 Hangfeng Road, Fengtai District, Beijing 100070 Applicant after: Beijing Xinyuan Zhicheng Technology Development Co., Ltd Address before: 716000, 580, holy land road, Baota District, Shaanxi, Yanan Applicant before: University YANAN |
|
| TA01 | Transfer of patent application right | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200522 |
|
| RJ01 | Rejection of invention patent application after publication |