CN107622382A - Calendar notes intelligent prompt method and system based on big data - Google Patents
Calendar notes intelligent prompt method and system based on big data Download PDFInfo
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- CN107622382A CN107622382A CN201710963314.5A CN201710963314A CN107622382A CN 107622382 A CN107622382 A CN 107622382A CN 201710963314 A CN201710963314 A CN 201710963314A CN 107622382 A CN107622382 A CN 107622382A
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Abstract
The invention discloses the calendar notes intelligent reminding system based on big data, including:Client and service end, the client include:Reminder events creating unit, the memory cell for storing reminder events, the present location obtaining unit for obtaining user's present position, one-level Transmit-Receive Unit and the display unit of reminder events are created for user;The service end includes the big data analysis and processing unit and two level Transmit-Receive Unit that the participle analysis and processing unit of word analysis is carried out to the prompting title that client creates, big data analysis is carried out by the vocabulary obtained to participle analysis and processing unit.Meet understanding and docking of the trans-regional and transnational personage to worldwide time and custom by providing a kind of calendar notes intelligent prompt method based on big data and system and the experience that user is reminded calendar notes is lifted by big data.
Description
Technical field
The present invention relates to application software field, and in particular to calendar notes intelligent prompt method based on big data and is
System.
Background technology
The whole world about 197 countries, a nationality about more than 2000.And plurality of country is with a long history, except
Using the Gregorian calendar of current popular, also possess oneself unique calendar, and many great red-letter days cease with local calendar breath
It is related.The lunar calendar is used as Chinese, the Spring Festival is maximum red-letter day;It is the most grand in all red-letter days that " Nu Luzijie " of Iran is Iran
Weight, due to the New Year that Iran is gone through;Israel is most important, and " Yom Kippur " is the beginning of July ten gone through in Jew.It is all these great
Red-letter day, be all based on this country calendar.
At present, it is relatively common now that calendar is shown on mobile phone, and keep record as one kind combined with calendar date it is non-
Often close function, is also gradually entered in the differentiation with electronic calendar by most of application integration.Due to can be with calendar
The more easily information such as Query Dates and festivals or holidays, for pure account application, user can more fast and easy
Check and select the date to be kept record in ground.
But many times people are not only the prompting for the event that intentionally gets, it is also necessary to which obtaining some can aid in
Into some extra information and data of this part thing.Traditional calendar notes mainly by the Gregorian calendar and the lunar calendar be used as event time come
Management event, national holiday only is included, and do not include local characteristic red-letter day and custom, covered information and title is not complete, be unfavorable for
The demand of trans-regional and transnational personage.
Invention title
It is an object of the invention to provide a kind of calendar notes intelligent prompt method based on big data and system to meet
Understanding and docking of the trans-regional and transnational personage to worldwide time and custom and calendar is remembered to lift user by big data
The experience that thing is reminded.
To realize object above, there is provided following technical scheme:
Calendar notes intelligent reminding system based on big data, including:Client and service end, the client include:
Used for the reminder events creating unit of user's establishment reminder events, the memory cell for storing reminder events, for obtaining
Present location obtaining unit, one-level Transmit-Receive Unit and the display unit of family present position;The service end is included to client
The prompting title of establishment carries out the participle analysis and processing unit of word analysis, the vocabulary by being obtained to participle analysis and processing unit
Carry out the big data analysis and processing unit and two level Transmit-Receive Unit of big data analysis;
The one-level Transmit-Receive Unit is used to client-side information being sent to service end, while receives service end two level Transmit-Receive Unit
The information of transmission;
The two level Transmit-Receive Unit is used for the information for receiving the transmission of client one-level Transmit-Receive Unit, while will service client information
Send to client.
Preferably, described reminder events creating unit includes reminder events and specific calendar time establishing mapping pass
System, notification mechanisms are established according to calendar time.
Preferably, described present location obtaining unit obtains between working as the arriving reminding time to user's present position
Take, and sent positional information to service end by one-level Transmit-Receive Unit.
Preferably, the big data analysis and processing unit is by lexical analysis result and the calendar situation of present position,
Sent by two level Transmit-Receive Unit to client.
Preferably, described display unit by user reminding title, lexical analysis result, reminder time mark calendar and
Current location calendar situation is shown to user.
Calendar notes intelligent prompt method based on big data, comprises the following steps:
S1:Reminder events to be created are inputted in the client, and reminder events and specific calendar time are established and mapped
Relation;
S2:Client creates the notification mechanisms of event according to reminder times of reminder events, repetition period etc.;
S3:The data storage of Adversaria prompting event is entered into memory cell simultaneously;
S4:Notification mechanisms are monitored, untill reminder time is reached;
S5:When the notification mechanisms arriving reminding time, present location obtaining unit obtains presently described position, and client will
Reminder events title and positional information are sent to server;
S6:The participle analysis and processing unit of server is segmented to the title of reminder events, semantic processes, is drawn effectively
Keyword;
S7:Server scans for obtaining currently by big data analysis and processing unit to keyword and current location confidence
Calendar information and related content, and send to client;
S8:Client by display unit by user reminding title, lexical analysis result, reminder time mark calendar and
Current location calendar situation is shown.
Beneficial effects of the present invention are:By providing a kind of calendar notes intelligent prompt method and system based on big data
To meet understanding and docking of the trans-regional and transnational personage to worldwide time and custom and lift user couple by big data
The experience that calendar notes are reminded.
Brief description of the drawings
Fig. 1 present system schematic diagrames;
Fig. 2 the inventive method flow charts.
Embodiment
In order that the purpose of the present invention, technical scheme are more clearly understood, below in conjunction with drawings and Examples, to the present invention
It is further elaborated.It should be appreciated that specific embodiment described herein is only used for explaining the present invention, it is not used to limit
The fixed present invention.
Embodiment one
System schematic as shown in Figure 1, including:Client 100 and service end 200, client 100 include:For with
Family creates the reminder events creating units 101 of reminder events, the memory cell 102 for storing reminder events, used for obtaining
Present location obtaining unit 103, one-level Transmit-Receive Unit 104 and the display unit 105 of family present position;Service end 200 is wrapped
Include the prompting title created to client and carry out the participle analysis and processing unit 201 of word analysis, by single to participle analyzing and processing
The vocabulary that member obtains carries out the big data analysis and processing unit 202 and two level Transmit-Receive Unit 203 of big data analysis.Alleged event,
Account project i.e. in calendar, including the content of the title of the ID of event, event, event, event reminder time, event prompting weight
Multiple cycle, event reminder time type etc..Present location obtaining unit 103 can be GPS geo-location system.At big data analysis
Reason unit 202 is connected with participle analysis and processing unit 201, and web crawlers, data mining are carried out according to search key, and to obtaining
Processing integration is carried out to data.
Wherein, one-level Transmit-Receive Unit 104 is used to the information of client 100 being sent to service end 200, while receives service end
The information that 200 two level Transmit-Receive Units 203 are sent;Two level Transmit-Receive Unit is sent out for receiving the one-level Transmit-Receive Unit 104 of client 100
The information sent, while the information of service end 200 is sent to client 100.
Wherein, reminder events creating unit 101 includes reminder events and specific calendar time establishing mapping relations, according to
Calendar time establishes notification mechanisms.
Wherein, present location obtaining unit 103 obtains between working as the arriving reminding time to user's present position, and
Positional information is sent to service end by one-level Transmit-Receive Unit 104.
Wherein, big data analysis and processing unit 202 passes through lexical analysis result and the calendar situation of present position
Two level Transmit-Receive Unit 203 is sent to client 100.
Wherein, display unit 105 is by user reminding title, lexical analysis result, the calendar of reminder time mark and current
Position calendar situation is shown to user.
Embodiment two
The calendar notes intelligent prompt method based on big data is illustrated in figure 2, is comprised the following steps:
S1:Reminder events to be created are inputted in the client, and reminder events and specific calendar time are established and mapped
Relation;
S2:Client creates the notification mechanisms of event according to reminder times of reminder events, repetition period etc.;
S3:The data storage of Adversaria prompting event is entered into memory cell simultaneously;
S4:Notification mechanisms are monitored, untill reminder time is reached;
S5:When the notification mechanisms arriving reminding time, present location obtaining unit obtains presently described position, and client will
Reminder events title and positional information are sent to server;
S6:The participle analysis and processing unit of server is segmented to the title of reminder events, semantic processes, is drawn effectively
Keyword;
S7:Server scans for obtaining currently by big data analysis and processing unit to keyword and current location confidence
Calendar information and related content, and send to client;
S8:Client by display unit by user reminding title, lexical analysis result, reminder time mark calendar and
Current location calendar situation is shown.
Claims (6)
1. the calendar notes intelligent reminding system based on big data, it is characterised in that including:Client and service end, the visitor
Family end includes:The reminder events creating unit, the memory cell for storing reminder events, use of reminder events are created for user
In the present location obtaining unit, one-level Transmit-Receive Unit and the display unit that obtain user's present position;The service end bag
Include and the participle analysis and processing unit of word analysis is carried out to the prompting title that client creates, by being obtained to participle analysis and processing unit
The vocabulary arrived carries out the big data analysis and processing unit and two level Transmit-Receive Unit of big data analysis;
The one-level Transmit-Receive Unit is used to client-side information being sent to service end, while receives the transmission of service end two level Transmit-Receive Unit
Information;
The two level Transmit-Receive Unit is used for the information for receiving the transmission of client one-level Transmit-Receive Unit, while service client information is sent
To client.
2. the calendar notes intelligent reminding system according to claim 1 based on big data, it is characterised in that described carries
The event of waking up creating unit includes reminder events and specific calendar time establishing mapping relations, and prompting machine is established according to calendar time
System.
3. the calendar notes intelligent reminding system according to claim 1 based on big data, it is characterised in that described works as
Front position acquiring unit obtains between working as the arriving reminding time to user's present position, and will by one-level Transmit-Receive Unit
Positional information is sent to service end.
4. the calendar notes intelligent reminding system according to claim 3 based on big data, it is characterised in that the big number
According to analysis and processing unit by lexical analysis result and the calendar situation of present position, sent by two level Transmit-Receive Unit to visitor
Family end.
5. the calendar notes intelligent reminding system according to claim 4 based on big data, it is characterised in that described is aobvious
Show that user reminding title, lexical analysis result, the calendar of reminder time mark and current location calendar situation are shown to by unit
User.
6. the calendar notes intelligent prompt method based on big data, it is characterised in that comprise the following steps:
S1:Reminder events to be created are inputted in the client, and reminder events and specific calendar time are established into mapping relations;
S2:Client creates the notification mechanisms of event according to reminder times of reminder events, repetition period etc.;
S3:The data storage of Adversaria prompting event is entered into memory cell simultaneously;
S4:Notification mechanisms are monitored, untill reminder time is reached;
S5:When the notification mechanisms arriving reminding time, present location obtaining unit obtains presently described position, and client will remind
Event header and positional information are sent to server;
S6:The participle analysis and processing unit of server is segmented to the title of reminder events, semantic processes, draws effective key
Word;
S7:Server scans for obtaining current Almanac by big data analysis and processing unit to keyword and current location confidence
Information and related content, and send to client;
S8:Calendar that client is marked user reminding title, lexical analysis result, reminder time by display unit and current
Position calendar situation is shown.
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CN201710963314.5A CN107622382A (en) | 2017-10-17 | 2017-10-17 | Calendar notes intelligent prompt method and system based on big data |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111445198A (en) * | 2019-01-16 | 2020-07-24 | 上海沿汇文化传播有限公司 | Network system event reminding method |
CN113763198A (en) * | 2021-09-11 | 2021-12-07 | 张贺春 | Production management system for animal husbandry |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101888417A (en) * | 2010-07-30 | 2010-11-17 | 宇龙计算机通信科技(深圳)有限公司 | Method, device and mobile terminal for reminding event |
CN102547398A (en) * | 2010-12-16 | 2012-07-04 | 华为终端有限公司 | Schedule reminding processing method and device and system thereof |
CN103067520A (en) * | 2010-06-24 | 2013-04-24 | 华为终端有限公司 | Method and device for adding schedule |
CN103237290A (en) * | 2013-04-17 | 2013-08-07 | 广东欧珀移动通信有限公司 | Method, mobile terminal and system for displaying festival information |
CN105827840A (en) * | 2016-03-29 | 2016-08-03 | 乐视控股(北京)有限公司 | Calendar information generation method and device |
CN106341456A (en) * | 2016-08-23 | 2017-01-18 | 乐视控股(北京)有限公司 | Information pushing method and information pushing device |
-
2017
- 2017-10-17 CN CN201710963314.5A patent/CN107622382A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103067520A (en) * | 2010-06-24 | 2013-04-24 | 华为终端有限公司 | Method and device for adding schedule |
CN101888417A (en) * | 2010-07-30 | 2010-11-17 | 宇龙计算机通信科技(深圳)有限公司 | Method, device and mobile terminal for reminding event |
CN102547398A (en) * | 2010-12-16 | 2012-07-04 | 华为终端有限公司 | Schedule reminding processing method and device and system thereof |
CN103237290A (en) * | 2013-04-17 | 2013-08-07 | 广东欧珀移动通信有限公司 | Method, mobile terminal and system for displaying festival information |
CN105827840A (en) * | 2016-03-29 | 2016-08-03 | 乐视控股(北京)有限公司 | Calendar information generation method and device |
CN106341456A (en) * | 2016-08-23 | 2017-01-18 | 乐视控股(北京)有限公司 | Information pushing method and information pushing device |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111445198A (en) * | 2019-01-16 | 2020-07-24 | 上海沿汇文化传播有限公司 | Network system event reminding method |
CN113763198A (en) * | 2021-09-11 | 2021-12-07 | 张贺春 | Production management system for animal husbandry |
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Application publication date: 20180123 |