CN109325176A - A kind of tactics intelligent recommendation system based on synthesis optimal in structure - Google Patents

A kind of tactics intelligent recommendation system based on synthesis optimal in structure Download PDF

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Publication number
CN109325176A
CN109325176A CN201810998562.8A CN201810998562A CN109325176A CN 109325176 A CN109325176 A CN 109325176A CN 201810998562 A CN201810998562 A CN 201810998562A CN 109325176 A CN109325176 A CN 109325176A
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module
tactics
user
information
recommendation
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CN201810998562.8A
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李艳军
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Wuhan Xingmeng Technology Co Ltd
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Wuhan Xingmeng Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

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  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The present invention relates to a kind of tactics intelligent recommendation systems based on synthesis optimal in structure, including homepage module, functional direction module, tactics recommending module, system setup module, exit module and system server, homepage module is used for user and inputs in user name and password accessing system;Function guide module is used to indicate the position of each module for user;Tactics recommending module is used to be that user recommends a set of method of fighting for being suitble to itself according to user demand;System setup module is used for the parameter being arranged in system in modules;It exits module and exits the system of recommending for user;System server provides software and hardware support for the modules run on system server.The beneficial effects of the invention are as follows quickly a set of method of fighting for being suitble to itself is recommended for user, unnecessary search step is avoided, it is convenient and efficient.

Description

A kind of tactics intelligent recommendation system based on synthesis optimal in structure
Technical field
The present invention relates to technical field of information processing, and in particular to a kind of tactics intelligent recommendation based on synthesis optimal in structure System.
Background technique
Synthesize optimal in structure and be based on cloud computing and big data technology, applied towards investigation, synthesized by case application of fighting+ The mode of more categories within police force feedbacks detects unit for case master and provides case related thread;Support the work to each department during cracking of cases Make the statistics of progress scientific quantification.Platform is mentioned based on video analysis leading in the industry, recognition of face and vehicle secondary recognizer It is the fast of major and serious criminal case for including that a series of professions such as video processing, recognition of face, vehicle identification, data analysis study and judge tool Speed detection, the string of medium and small case and offer effectively support.Synthesizing optimal in structure has many advantages, such as flexile process It is configuration, powerful Video coding compatibility, open platform framework, efficient Computational frame, powerful video frequency abstract algorithm, rich Rich studies and judges tool set and the integration of various dimensions big data etc..
Smell of powder is investigated to improve, optimal in structure is synthesized as investigator and the miscellaneous method of fighting is provided, favorably In the fight capability for improving investigator.But synthesis optimal in structure data volume in the prior art is too big, it can not be according to each The demand of investigator recommends a set of suitable method of fighting automatically.
Summary of the invention
Technical problem to be solved by the invention is to provide it is a kind of based on synthesis optimal in structure tactics intelligent recommendation system, The recommender system quickly can recommend a set of suitable method of fighting according to the demand of investigator itself, improve search efficiency.
The technical scheme to solve the above technical problems is that
A kind of tactics intelligent recommendation system based on synthesis optimal in structure, including homepage module, functional direction module, tactics Recommending module, system setup module exit module and system server,
The homepage module is used for user and inputs in user name and password accessing system;
The functional direction module is used to indicate the position of each module for user;
The tactics recommending module is used to be that user recommends a set of method of fighting for being suitble to itself according to user demand;
The system setup module is used to be arranged the parameter in system in modules;
It is described to exit module, it is used for user and exits the system of recommending;
The system server, the modules to run on system server provide software and hardware support.
Further, the tactics recommending module includes MIM message input module, information sending module, search module, tactics storage Storing module and information display module, the MIM message input module input tactics information, the information sending module for user Information for inputting user is sent to described search module, and the tactics information that described search module is inputted according to user is in institute State search in tactics storage module, the information display module be used to show described search block search to meet user demand The method of fighting.
Further, the tactics information includes the way of recommendation, type of recommendation, recommendation pattern and recommends log.
Further, can show recommendation progress on the recommendation interface of the tactics information, facilitate user understand recommend into Degree.
Further, it is provided with that " starting to recommend ", " pause recommend ", " recommendation is set on the recommendation interface of the tactics information Set " and " returning to the homepage " four buttons.
Further, the information display module is that user recommends the method for fighting in the form of video.
Compared with prior art, the beneficial effects of the present invention are:
1, the recommender system quickly can recommend a set of suitable method of fighting according to the demand of investigator itself, reduce not Necessary search improves search efficiency.
2, the system stores a large amount of method of fighting, improves convenient learning platform for investigator, is conducive to investigate people Member improves self-ability, preferably maintains public order with time.
Detailed description of the invention
Fig. 1 is system block diagram of the invention.
Specific embodiment
Principles and features of the present invention are described below in conjunction with drawings and the specific embodiments, example is served only for solving The present invention is released, is not intended to limit the scope of the present invention.
As shown in Figure 1, the present invention provides a kind of tactics intelligent recommendation system based on synthesis optimal in structure, including homepage mould Block 1, tactics recommending module 3, system setup module 4, exits module 5 and system server 6 at functional direction module 2,
The homepage module 1 is used for user and inputs in user name and password accessing system;
The functional direction module 2 is used to indicate the position of each module for user;
The tactics recommending module 3 is used to be that user recommends a set of method of fighting for being suitble to itself according to user demand;
The system setup module 4, is used to be arranged the parameter in system in modules;
It is described to exit module 5, it is used for user and exits the system of recommending;
The system server 6, the modules to run on system server provide software and hardware support.
In the present invention, the tactics recommending module 3 includes MIM message input module 31, information sending module 32, search module 33, tactics storage module 34 and information display module 35, the MIM message input module 31 input tactics information, institute for user Information sending module 32 is stated for the information that user inputs to be sent to described search module 33, described search module 33 according to The tactics information of family input is searched in the tactics storage module 34, and the information display module 35 is for showing described search What module 33 searched meets the method for fighting of user demand.
In the present invention, the tactics information includes the way of recommendation, type of recommendation, recommendation pattern and recommends log.
In the present invention, recommendation progress can be shown on the recommendation interface of the tactics information, and user is facilitated to understand recommendation Progress.
In the present invention, it is provided with that " starting to recommend ", " pause recommend ", " recommendation is set on the recommendation interface of the tactics information Set " and " returning to the homepage " four buttons.
In the present invention, the information display module is that user recommends the method for fighting in the form of video.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.

Claims (6)

1. a kind of tactics intelligent recommendation system based on synthesis optimal in structure, it is characterised in that: including homepage module, functional direction Module, system setup module, exits module and system server at tactics recommending module,
The homepage module is used for user and inputs in user name and password accessing system;
The functional direction module is used to indicate the position of each module for user;
The tactics recommending module is used to be that user recommends a set of method of fighting for being suitble to itself according to user demand;
The system setup module is used to be arranged the parameter in system in modules;
It is described to exit module, it is used for user and exits the system of recommending;
The system server, the modules to run on system server provide software and hardware support.
2. a kind of tactics intelligent recommendation system based on synthesis optimal in structure according to claim 1, it is characterised in that: institute Stating tactics recommending module includes that MIM message input module, information sending module, search module, tactics storage module and information are shown Module, the MIM message input module input tactics information for user, and the information sending module is used for the letter for inputting user Breath is sent to described search module, and the tactics information that described search module is inputted according to user is searched in the tactics storage module Rope, the information display module be used for show described search block search to the method for fighting for meeting user demand.
3. a kind of tactics intelligent recommendation system based on synthesis optimal in structure according to claim 2, it is characterised in that: institute Tactics information is stated to include the way of recommendation, type of recommendation, recommendation pattern and recommend log.
4. a kind of tactics intelligent recommendation system based on synthesis optimal in structure according to claim 2, it is characterised in that: institute Recommendation progress can be shown by stating on the recommendation interface of tactics information, user is facilitated to understand the progress recommended.
5. a kind of tactics intelligent recommendation system based on synthesis optimal in structure according to claim 2, it is characterised in that: institute It states and is provided with " starting to recommend ", " pause is recommended ", " recommended setting " and " returning to the homepage " four on the recommendation interface of tactics information A button.
6. a kind of tactics intelligent recommendation system based on synthesis optimal in structure according to claim 2, it is characterised in that: institute Stating information display module in the form of video is that user recommends the method for fighting.
CN201810998562.8A 2018-08-29 2018-08-29 A kind of tactics intelligent recommendation system based on synthesis optimal in structure Pending CN109325176A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111369417A (en) * 2020-03-05 2020-07-03 青岛海信网络科技股份有限公司 Case clue obtaining method and device based on technical and tactical model

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103886426A (en) * 2014-04-04 2014-06-25 四川天翼网络服务有限公司 Flattening conducting information system intelligence combat system and method
US20150145727A1 (en) * 2010-10-08 2015-05-28 HJ Laboratories, LLC Tracking a mobile computer indoors using wi-fi and motion sensor information
CN104951530A (en) * 2015-06-17 2015-09-30 惠州Tcl移动通信有限公司 Method and system for stretch exercise data push based on intelligent device
CN105653715A (en) * 2015-12-31 2016-06-08 北京奇艺世纪科技有限公司 Pushing method and system for training courses
CN107390706A (en) * 2017-07-26 2017-11-24 北京航空航天大学 A kind of unmanned plane short range combat decision-making technique based on the motor-driven algorithm of preview

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150145727A1 (en) * 2010-10-08 2015-05-28 HJ Laboratories, LLC Tracking a mobile computer indoors using wi-fi and motion sensor information
CN103886426A (en) * 2014-04-04 2014-06-25 四川天翼网络服务有限公司 Flattening conducting information system intelligence combat system and method
CN104951530A (en) * 2015-06-17 2015-09-30 惠州Tcl移动通信有限公司 Method and system for stretch exercise data push based on intelligent device
CN105653715A (en) * 2015-12-31 2016-06-08 北京奇艺世纪科技有限公司 Pushing method and system for training courses
CN107390706A (en) * 2017-07-26 2017-11-24 北京航空航天大学 A kind of unmanned plane short range combat decision-making technique based on the motor-driven algorithm of preview

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
谢强: "警务可视化实战应用***研究与研发", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111369417A (en) * 2020-03-05 2020-07-03 青岛海信网络科技股份有限公司 Case clue obtaining method and device based on technical and tactical model

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