CN103634470A - Human-computer interaction prediction method based on terminal mobile data access network Qos - Google Patents
Human-computer interaction prediction method based on terminal mobile data access network Qos Download PDFInfo
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- CN103634470A CN103634470A CN201310634423.4A CN201310634423A CN103634470A CN 103634470 A CN103634470 A CN 103634470A CN 201310634423 A CN201310634423 A CN 201310634423A CN 103634470 A CN103634470 A CN 103634470A
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Abstract
This invention discloses a human-computer interaction prediction method based on terminal mobile data access network Qos. The network capacity of a terminal is acquired through software operated on the mobile terminal, and the use frequency of user applications is counted. The software on the terminal predicts user behaviors by combining the user behavior history and the current network capacity according to an application list installed in a sorted way and a requirement on the network capacity, and gives a related application or terminal operation prompt, thus human-computer interaction is more intelligent and convenient, and the user experience is enhanced. The network capacity is but not limited to an Internet connection speed and the mobile communication network signal strength.
Description
Technical field
The invention belongs to mobile terminal applied technical field, particularly relate to a kind of man-machine interaction Forecasting Methodology based on fast mobile terminal data access net Qos.
Background technology
Along with the develop rapidly of intelligent movable mobile phone market rapid growth, smart mobile phone application scale, particularly with the high speed development of network related application, become the inexorable trend of current smart mobile phone field development.
Smart mobile phone is applied the especially high speed development of network related application, when enriching cell-phone function, also gives that user is easy-to-use brings puzzlement.Because the problem of network quality causes application, open difficulty, affect user's experience.In addition, because the application frequency of utilization of installing in mobile phone is different, user also wishes conventional application to sort, convenient opening and using of applying.
In sum, the present invention has announced a kind of like this method, and it fully analyzes the existing application of Vehicles Collected from Market and network capabilities requirement thereof, according to terminal current network ability historical in conjunction with user behavior, and prompting related application.
Summary of the invention
The object of the invention is man-machine interaction Intelligent portable more, promotes the man-machine interaction Forecasting Methodology based on fast mobile terminal data access net Qos of user's experience.
The present invention for achieving the above object, adopts following technical scheme:
A man-machine interaction Forecasting Methodology based on fast mobile terminal data access net Qos, comprises the following steps:
A) require data file to deposit terminal software installation kit in as resource Vehicles Collected from Market full dose application list and classification and network capabilities thereof;
B) this terminal software is installed on mobile terminal;
C), when mobile terminal powers on or start shooting, preassembled software moves automatically;
D) terminal software is collected terminal this locality application has been installed, with market full dose apply names digital ratio pair, as existed in market full dose application list, deposit local data base in and classified application list is installed as this locality, the installation application list packets of information of having classified is drawn together classified information and network capabilities requirement;
E) terminal software backstage instant recording each the service condition of application has been installed, and total degree is used in each application of statistics accordingly;
F), when terminal software detects after current network ability, according to the network capabilities that application is installed, require the access times with each application, prompting related application; Application Hints is divided three classes, the first kind be can smooth operation under current network ability application, Equations of The Second Kind is that under current network ability, user experiences still patient application, the 3rd class is the application that can not normally move under current network ability;
G) user clicks the application icon being prompted according to information, directly moves this application;
H), when terminal software detects after current network ability, as current mobile communications network signal strength signal intensity, during higher than setting threshold, can point out user to call.
It is further characterized in that: described network by comprise 2G, 3G, 4G mobile communications network and terminal all networks that can be connected or use of company internet; Described application program is classified and network capabilities requires to comprise that required network connection speed threshold value is applied in smooth operation and user's experience still can be stood required network connection speed threshold value.
Above-mentioned information has been installed and has been applied as smooth operation and user and experiences still can stand time according to real network ability prompting, by access times, by as many as, is sorted and points out successively less.
The mode of described statistics application access times is to obtain the mounted the application list of subscriber's local, and deposit local data base in; When user mobile phone switchboard, the system of obtaining is used list of application recently, when obtaining list for the first time, the position of each application program of mark in list, when again obtaining, whether the position that contrast is applied in list changes, if move forward position, the access times of this application add 1, and new database more.
The present invention it by operating in the software on mobile terminal, know terminal current network ability, and require and user behavior history in conjunction with the network capabilities of types of applications or all kinds of terminal operations, predictive user behavior, and point out related application or terminal operation.Thereby make man-machine interaction Intelligent portable more, promote user's experience.
Accompanying drawing explanation
Fig. 1 is schematic flow sheet of the present invention.
Embodiment
A man-machine interaction Forecasting Methodology based on mobile terminal network ability as shown in Figure 1, it comprises the following steps:
A) require data file to deposit terminal software installation kit in as resource Vehicles Collected from Market full dose application list and classification and network capabilities thereof.
B) by customizing in advance or alternate manner is installed this terminal software on mobile terminal.
C), when mobile terminal powers on or start shooting, preassembled software moves automatically.
D) terminal software judgement terminal has or not SD card, if any, continue to judge whether SD card memory capacity meets market full dose application list memory requirement, as meet memory requirement, list is stored in to SD card; If terminal does not have SD card or SD card memory capacity can not meet market full dose application list memory requirement, judge whether terminal internal memory meets memory requirement, as met, list is stored in to terminal internal memory, as terminal internal memory does not meet memory requirement, this software function is not moved.
E) the market full dose application of the local storage of terminal can regularly be upgraded from server end.
F) terminal software is collected terminal this locality application has been installed, with market full dose apply names digital ratio pair, as existed in market full dose application list, deposit local data base in and classified application list is installed as this locality, the installation application list packets of information of having classified is drawn together classified information and network capabilities requirement.
G) terminal software backstage instant recording each the service condition of application has been installed, and total degree is used in each application of statistics accordingly.
H), when terminal software detects after current network ability, can require the access times with each application, prompting related application according to the network capabilities that application has been installed.Application Hints is divided three classes, the first kind be can smooth operation under current network ability application, Equations of The Second Kind is that under current network ability, user experiences still patient application, the 3rd class is the application that can not normally move under current network ability.
I) user clicks and is prompted application icon, can directly move this application.
J), when terminal software detects after current network ability, as current mobile communications network signal strength signal intensity, during higher than certain threshold value, can point out user to call.
Specific features for above-mentioned steps is illustrated as:
A) described network is all networks that terminal can connect or use, including, but not limited to 2G, 3G, 4G mobile communications network and internet that terminal connects;
B) described application program classification and network capabilities requirement are, each classification has smooth operation Internet connection threshold speed and user to experience still can stand Internet connection threshold speed.
C) if current network speed ability is higher than the smooth operation of certain classification network speed threshold value, the application of the installation in this classification is prompted as smoothness operation application.As current network speed ability, lower than certain classification is smooth, moves network speed threshold value but experience and still can stand network speed threshold value higher than its user, the application of the installation in this classification is prompted still can stand for user experiences.As current network ability is experienced and still can be stood network speed threshold value lower than certain sorted users, this classification has been installed to apply and has been prompted as not recommending.
D) described combination has been installed application access times prompting related application and is, when according to real network ability prompting installed and be applied as smooth operation and user and experience still can stand time, by access times, by as many as, pointed out successively less.
E) mode of described statistics application access times is, obtains the mounted the application list of subscriber's local, and deposits local data base in.When user mobile phone switchboard, the system of obtaining is used list of application recently, when obtaining list for the first time, the position of each application program of mark in list, when again obtaining, whether the position that contrast is applied in list changes, if move forward position, the access times of this application add 1, and new database more.
For analyzing market full dose application network Capability Requirement and classification, be specially following form:
| Title | For example |
| 1 audio-visual broadcasting | Excellent cruel, KuGoo, QQ music |
| 2 communication navigations | Where remove, take journey travelling, Baidu's map |
| 3 life & amusements | Masses comment on, I see, 58 same cities |
| 4 shoppings at network | Taobao, Jingdone district, U.S.A purchase round and round |
| 5 chat communities | Micro-Xin,QQ, Sina microblogging |
| 6 utilities | RE manager, phonetic search, Android are optimized great master |
| 7 education are read | IReader reading, QQ read, 91 panda readings |
| 8 consulting news | Netease's news, Sohu's news, rise New News |
| 9 finance and money management | Alipay wallet, software for speculation on stocks, number hundred lottery tickets |
| 10 airtime communications | Youmi note, YY voice, QQ address list |
Full dose application network ability is divided into following three classes:
| Classification 1: community's chat, communication |
| Chat community |
| Airtime communication |
Smooth use standard formulation:
| Minimum throughput | 15KB/S |
| Maximum delay | 800ms |
User experiences still can stand standard formulation:
| Minimum throughput | 10KB/S |
| Maximum delay | 1000ms |
Smooth use standard formulation:
| Minimum throughput | 25KB/S |
| Maximum delay | 800ms |
Use reluctantly standard formulation
| Minimum throughput | 20KB/S |
| Maximum delay | 1000ms |
| Classification 3: video, music is audio-visual watches |
| Audio-visual broadcasting |
Smooth use standard formulation:
| Minimum throughput | 55KB/S |
| Maximum delay | 800ms |
Use reluctantly standard formulation:
| Minimum throughput | 50KB/S |
| Maximum delay | 1000ms |
As the person skilled of this area will appreciate that, innovation concept of the present invention can be modified and change in broad field of application, and therefore, claimed technical scheme scope is not subject to the restriction of given any particular exemplary.
As mentioned above, do not departing under the prerequisite of above-mentioned innovation concept, the present invention can implement in the mode of various variations.For example, the variation of the front and back of various data structure critical fielies orders, the interpolation of non-core field or delete etc.
Claims (4)
1. the man-machine interaction Forecasting Methodology based on fast mobile terminal data access net Qos, comprises the following steps:
A) require data file to deposit terminal software installation kit in as resource Vehicles Collected from Market full dose application list and classification and network capabilities thereof;
B) this terminal software is installed on mobile terminal;
C), when mobile terminal powers on or start shooting, preassembled software moves automatically;
D) terminal software is collected terminal this locality application has been installed, with market full dose apply names digital ratio pair, as existed in market full dose application list, deposit local data base in and classified application list is installed as this locality, the installation application list packets of information of having classified is drawn together classified information and network capabilities requirement;
E) terminal software backstage instant recording each the service condition of application has been installed, and total degree is used in each application of statistics accordingly;
F), when terminal software detects after current network ability, according to the network capabilities that application is installed, require the access times with each application, prompting related application; Application Hints is divided three classes, the first kind be can smooth operation under current network ability application, Equations of The Second Kind is that under current network ability, user experiences still patient application, the 3rd class is the application that can not normally move under current network ability;
G) user clicks the application icon being prompted according to information, directly moves this application;
H), when terminal software detects after current network ability, as current mobile communications network signal strength signal intensity, during higher than setting threshold, can point out user to call.
2. the man-machine interaction Forecasting Methodology based on fast mobile terminal data access net Qos according to claim 1, is characterized in that: described network by comprise 2G, 3G, 4G mobile communications network and terminal all networks that can be connected or use of company internet; Described application program is classified and network capabilities requires to comprise that required network connection speed threshold value is applied in smooth operation and user's experience still can be stood required network connection speed threshold value.
3. the man-machine interaction Forecasting Methodology based on fast mobile terminal data access net Qos according to claim 1 and 2, it is characterized in that: described information has been installed and has been applied as smooth operation and user and experiences still can stand time according to real network ability prompting, by access times, by as many as, is sorted and points out successively less.
4. the man-machine interaction Forecasting Methodology based on fast mobile terminal data access net Qos according to claim 3, is characterized in that: the mode of described statistics application access times is to obtain the mounted the application list of subscriber's local, and deposit local data base in; When user mobile phone switchboard, the system of obtaining is used list of application recently, when obtaining list for the first time, the position of each application program of mark in list, when again obtaining, whether the position that contrast is applied in list changes, if move forward position, the access times of this application add 1, and new database more.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105681552A (en) * | 2016-01-06 | 2016-06-15 | 广东欧珀移动通信有限公司 | Application start method and device |
| CN105721392A (en) * | 2014-12-02 | 2016-06-29 | 中国移动通信集团江苏有限公司 | Method, device and system for recommending applications |
| CN106817370A (en) * | 2017-01-18 | 2017-06-09 | 青岛海信移动通信技术股份有限公司 | The method and device of transmitting network data |
| CN109495194A (en) * | 2017-09-12 | 2019-03-19 | 交互数字Ce专利控股公司 | The device and method of signal strength estimation in the wireless network of multiple access points |
| CN113271360A (en) * | 2021-05-26 | 2021-08-17 | 维沃移动通信（杭州）有限公司 | Recommendation method and device of application program, electronic device and medium |
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| CN109495194A (en) * | 2017-09-12 | 2019-03-19 | 交互数字Ce专利控股公司 | The device and method of signal strength estimation in the wireless network of multiple access points |
| CN113271360A (en) * | 2021-05-26 | 2021-08-17 | 维沃移动通信（杭州）有限公司 | Recommendation method and device of application program, electronic device and medium |
| WO2022247856A1 (en) * | 2021-05-26 | 2022-12-01 | 维沃移动通信（杭州）有限公司 | Application recommendation method and apparatus, electronic device, and medium |
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