CN102573102A - Supplying method and device of behavioral characteristic data - Google Patents
Supplying method and device of behavioral characteristic data Download PDFInfo
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- CN102573102A CN102573102A CN201010613725XA CN201010613725A CN102573102A CN 102573102 A CN102573102 A CN 102573102A CN 201010613725X A CN201010613725X A CN 201010613725XA CN 201010613725 A CN201010613725 A CN 201010613725A CN 102573102 A CN102573102 A CN 102573102A
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Abstract
The invention provides a supplying method of behavioral characteristic data, comprising the following steps of: receiving personal information of a calling party, extracting a user name from the personnel information and obtaining calling time; finding a characteristic database according to the user name and the calling time, obtaining the needed behavioral characteristic data, wherein the characteristic database comprises the user name, the calling time and the behavioral characteristic data relevant to the user name and the calling time; and providing the characteristic data. Correspondingly, the invention further provides a supplying device of the behavioral characteristic data. According to the supplying method and device of the behavioral characteristic data, disclosed by the invention, a user can know about the identity of the calling party before a calling for calling a service platform is connected, and the service platform can give a requirement suggestion which may be most possibly promoted when the calling of the user is connected, so that a starting greeting of the service platform becomes more humanized when the calling is connected; and therefore, a lot time of two parties including the calling party and the service platform is saved, and better experiences and perception of affiliation are brought to the user.
Description
Technical field
The present invention relates to that behavioural information is obtained and processing technology field, specifically, what the present invention relates to a kind of behavioural characteristic data provides method and generator.
Background technology
In the allegro in modern times information-intensive society, obtaining useful target information fast is extremely important for the modern business personage.When beginning to carry out a behavior (for example have dinner, see a film, body-building or drink coffee etc.); Much human can obtain immediately current alternative target information through calling out certain service platform (the for example Best Tone Service 118114/114 or the Mytip 57575777 etc. of making a reservation), and preferred most suitable information adopts from current alternative target information that this service platform provides.
For instance; For example business people A some day during the 12 noon clock call service platform express own current demand (for example need have dinner as early as possible); This service platform is through the demand of inquiry A, in the Internet or other information publish and search relevant information (the for example dining room of various gears) on the media and come to provide to A.To which home dining room A determines oneself to go have dinner according to current alternative dining room information that service platform provided actually.
Yet; The shortcoming of said process is: service platform can't know in advance whom the calling party is before customer call is connected; Also can't directly the suggestion to the most possible demand of A be proposed in the current time to business people A, and be adopt stereotypedly " you are good, are very glad to be your service! May I ask you has anything to want help? " And so on initial greeting; And then the A that had repeatedly called out service platform before waiting for repeats own current most possible demand again, and (for example A once repeatedly called out service platform between 11 thirty thirty to 12 of noon on weekdays; Mentioned the demand that hope is had dinner as early as possible); So not only wasted calling party and service platform both sides great amount of time, and brought relatively poor user experience sense and sense of ownership to the user.
Summary of the invention
Technical problem to be solved by this invention is before customer call is connected, to know in advance whom the calling party is; So that directly know the demand of user's most possible proposition; Suggestion to the demand of this user's most possible proposition can also be in call through be proposed immediately; Make that the initial greeting of service platform becomes humanized in the call through, bring better experience sense and sense of ownership to the user.
For solving the problems of the technologies described above, the present invention provides a kind of method that provides of behavioural characteristic data, comprises step:
A. receipt of call user's personal information therefrom extracts user's name and obtains call time;
B. according to said user's name with search behavioral characteristic database said call time; Obtain needed behavioural characteristic data; Said behavioral characteristic database comprises user's name and call time, and the behavioural characteristic data that are associated with said user's name and said call time; And
C., said behavioural characteristic data are provided.
Alternatively, said steps A also comprises the current location of obtaining said user.
Alternatively, said user's current location is obtained according to global positioning system.
Alternatively, said method also comprises step after step C:
D. according to the behavioural characteristic data search behavior relevant information data storehouse in the said behavioral characteristic database; Obtain the behavior relevant information data, the behavior relevant information data that said behavior relevant information data storehouse comprises the behavioural characteristic data and is associated with said behavioural characteristic data; And
E., said behavior relevant information data is provided.
Alternatively, said behavior relevant information data comprises the behavior address information.
Alternatively, the called party receives said calling party's personal information through cordless communication network.
Alternatively, said cordless communication network is mobile telephone network or vehicular communication equipment network.
Alternatively, said user's name is the identification code of the telephone number or the vehicular communication equipment of mobile phone.
Alternatively, said behavioural characteristic data comprise the description to said user's behavior.
Alternatively, the mode of said description is text description and/or iamge description.
Alternatively, said behavioral characteristic database also comprises the behavior frequency, and according to said behavior frequency said behavioural characteristic data is provided in descending order.
Alternatively, said behavior relevant information data storehouse also comprises the behavior frequency, and according to said behavior frequency said behavior relevant information data is provided in descending order.
Alternatively, said behavioral characteristic database also comprises the behavior frequency, and only provides said behavior frequency rank the highest said behavioural characteristic data.
Alternatively, said behavior relevant information data storehouse also comprises the behavior frequency, and only provides said behavior frequency rank the highest said behavior relevant information data.
Alternatively, said behavioural characteristic data provide through the mode that voice or plane show.
Alternatively, said behavior relevant information data provides through the mode that voice or plane show.
Correspondingly, the present invention also provides a kind of generator of behavioural characteristic data, comprising:
The personal information receiving element establishes a communications link with the calling party, is used to receive said calling party's personal information, therefrom extracts user's name and obtains call time;
Behavioral characteristic database comprises user's name and call time, and the behavioural characteristic data that are associated with said user's name and said call time;
The behavioural characteristic data searching unit is connected with said behavioral characteristic database with said personal information receiving element respectively, is used for searching said behavioral characteristic database according to said user's name and said call time, obtains needed behavioural characteristic data; And
The behavioural characteristic data provide the unit, are connected with said behavioural characteristic data searching unit, are used to provide said behavioural characteristic data.
Alternatively, said personal information receiving element also comprises the current location that is used to obtain said user.
Alternatively, said user's current location is obtained according to global positioning system.
Alternatively, said device also comprises:
Behavior relevant information data storehouse, the behavior relevant information data that comprises the behavioural characteristic data and be associated with said behavioural characteristic data;
The behavior relevant information data is searched the unit; Provide the unit to be connected with said behavioural characteristic data respectively with said behavior relevant information data storehouse; Be used for behavioural characteristic data search behavior relevant information data storehouse, obtain the behavior relevant information data according to said behavioral characteristic database; And
The behavior relevant information data provides the unit, searches the unit with said behavior relevant information data and is connected, and is used to provide said behavior relevant information data.
Alternatively, said behavior relevant information data comprises the behavior address information.
Alternatively, the called party receives said calling party's personal information through cordless communication network.
Alternatively, said cordless communication network is mobile telephone network or vehicular communication equipment network.
Alternatively, said user's name is the identification code of the telephone number or the vehicular communication equipment of mobile phone.
Alternatively, said behavioural characteristic data comprise the description to said user's behavior.
Alternatively, the mode of said description is text description and/or iamge description.
Alternatively, said behavioral characteristic database also comprises the behavior frequency, and according to said behavior frequency said behavioural characteristic data is provided in descending order.
Alternatively, said behavior relevant information data storehouse also comprises the behavior frequency, and according to said behavior frequency said behavior relevant information data is provided in descending order.
Alternatively, said behavioral characteristic database also comprises the behavior frequency, and only provides said behavior frequency rank the highest said behavioural characteristic data.
Alternatively, said behavior relevant information data storehouse also comprises the behavior frequency, and only provides said behavior frequency rank the highest said behavior relevant information data.
Alternatively, said behavioural characteristic data provide through the mode that voice or plane show.
Alternatively, said behavior relevant information data provides through the mode that voice or plane show.
Compared with prior art, the present invention has the following advantages:
The present invention can know in advance whom the calling party is before the call through of customer call service platform, so that directly know the demand of user's most possible proposition.In addition; The present invention can also propose the suggestion to the demand of this user's most possible proposition by service platform in connecting immediately in user calling; Make that the initial greeting of service platform becomes humanized in the call through; Need not user's per call service platform and all will mechanically repeat own current most possible demand; And then please current alternative target information be provided service platform, not only saved calling party and service platform both sides great amount of time, and brought better experience sense and sense of ownership to the user.
Description of drawings
Above-mentioned and other characteristic, character and advantage of the present invention will become more obvious through the description below in conjunction with accompanying drawing and embodiment, wherein:
Fig. 1 is the method flow diagram that method is provided of the behavioural characteristic data of one embodiment of the invention;
Fig. 2 is the method flow diagram that method is provided of the behavioural characteristic data of another embodiment of the present invention;
Fig. 3 is the structured flowchart of generator of the behavioural characteristic data of one embodiment of the invention;
Fig. 4 is the structured flowchart of generator of the behavioural characteristic data of another embodiment of the present invention.
Embodiment
Below in conjunction with specific embodiment and accompanying drawing the present invention is described further, but should limit protection scope of the present invention with this.
Fig. 1 is the method flow diagram that method is provided of the behavioural characteristic data of one embodiment of the invention.As shown in the figure, this method can comprise:
Execution in step 101; Through cordless communication network receipt of call users' such as mobile telephone network or vehicular communication equipment network personal information, the identification code of telephone number or vehicular communication equipment that therefrom extracts mobile phone is as user's name and obtain call time;
In the present embodiment; Can also comprise the current location of obtaining the user according to global positioning system (GPS) in the step 101; So that can understand user's current personal information more, behavioural characteristic data or behavior relevant information data are provided better in subsequent step.
Execution in step 102; Search behavioral characteristic database according to user's name and call time (current location that perhaps also comprises the user); Obtain the needed behavioural characteristic data of this user; Behavioral characteristic database can comprise user's name and call time (present position that perhaps also comprises the user), and with user's name and behavioural characteristic data that call time, (and present position of user) was associated;
In the present embodiment, the behavioural characteristic data can comprise the description to user's behavior, and the mode of description can be text description and/or iamge description.
Execution in step 103, the mode that shows through voice or plane provides the behavioural characteristic data.
In the present embodiment, behavioral characteristic database can also comprise the behavior frequency, and through the mode that voice or plane show the behavioural characteristic data is provided in descending order according to the behavior frequency, perhaps only provides behavior frequency rank the highest behavioural characteristic data.
Fig. 2 is the method flow diagram that method is provided of the behavioural characteristic data of another embodiment of the present invention.As shown in the figure, this method can also comprise after step 103 shown in Figure 1:
Execution in step 104; According to the behavioural characteristic data search behavior relevant information data storehouse in the behavioral characteristic database; Obtain the behavior relevant information data, the behavior relevant information data that behavior relevant information data storehouse comprises the behavioural characteristic data and is associated with the behavioural characteristic data;
Execution in step 105, the mode that shows through voice or plane provides the behavior relevant information data.
In the present embodiment; Behavior relevant information data storehouse also comprises the behavior frequency; And through the mode that voice or plane show the behavior relevant information data is provided in descending order according to the behavior frequency, perhaps only provides behavior frequency rank the highest behavior relevant information data.The behavior relevant information data can comprise the behavior address information.
For instance, business people A (being the user) need have dinner when certain workaday 12 noon clock as early as possible, so he picks up mobile phone or calls out certain service platform through vehicular communication equipment.This moment, service platform was with regard to the personal information through cordless communication network receipt of call users (being business people A) such as mobile telephone network or vehicular communication equipment networks; The identification code of telephone number or vehicular communication equipment that therefrom extracts mobile phone is as user's name and obtain call time, and preferably can also obtain calling party's current location according to global positioning system (GPS).
So service platform just can according to user's name (corresponding) with business people A and call time (workaday 12 noon the clock) (current location that perhaps can also comprise the calling party; No. 1045 Huaihai International Plazas of Huai-Hai, Shanghai City Zhong Lu for example) search a behavioral characteristic database; Obtain the needed behavioural characteristic data of this user; Behavioral characteristic database can comprise user's name and call time (present position that perhaps can also comprise the user), and with user's name and behavioural characteristic data that call time, (and present position of user) was associated.The behavior, characteristic can comprise the description of user's behavior being carried out with the mode of text description and/or iamge description, for example near No. 1045 Huaihai International Plazas of Huai-Hai, Shanghai City Zhong Lu, can have dinner as early as possible usually during on weekdays 12 noon clock of this user.And show that according to the record stored in the behavioral characteristic database in general this user can have 10 minutes walk subsequently and seek originally the help edible seaweed dining room of price about 20～30 yuan within the scope of (perhaps walking is 2 kilometers) and have dinner nearby.So service platform through searching behavioral characteristic database, just can know this user can be within the scope of (perhaps walking is 2 kilometers) of having 10 minutes walk, originally the help edible seaweed dining room of price about 20～30 yuan have dinner.
Then, service platform just can be through mode epideictic behaviour characteristic on service platform of voice or plane demonstration.If service platform is provided with the manual operator, can provide to this manual operator to the mode that shows through voice or plane.If include this quantitative criteria of behavior frequency in the behavior property data base; Service platform can according to the behavior frequency in descending order (for example during on weekdays 12 noon clock of this user near No. 1045 Huaihai International Plazas of Huai-Hai, Shanghai City Zhong Lu in 10 call records of call service platform; 7 its demands are arranged for having dinner as early as possible; 2 its demands are arranged for drinking coffee, also having 1 its demand is aerobic fitness, and the behavior frequency of then having dinner as early as possible is 7/10; The behavior frequency of drinking coffee is 2/10; The behavior frequency of aerobic fitness is 1/10, service platform with the result according to from high to low sequence arrangement) mode that shows through voice or plane provides the behavioural characteristic data to the manual operator, and the highest behavioural characteristic data of behavior frequency rank (the behavioural characteristic data of having dinner as early as possible promptly only are provided) perhaps only are provided.
Then; Manual operator or service platform system can be searched a behavior relevant information data storehouse according to the behavioural characteristic data in the behavioral characteristic database (the highest the having dinner as early as possible of for example behavior frequency rank); Obtain the behavior relevant information data; Behavior relevant information data storehouse comprise behavioural characteristic data (for example have dinner as early as possible, drink coffee and aerobic fitness etc.) and the behavior relevant information data that is associated with the behavioural characteristic data (for example have dinner as early as possible, behavior relevant information data associated therewith has G dining room, H restaurant, I restaurant, J packed meal stand and K roadside gear etc.; Drink coffee, behavior relevant information data associated therewith has L cafe, M coffee shop and N beverage etc.; Aerobic fitness, behavior relevant information data associated therewith have the U.S. type body-building of O aerobic exercise and P shop etc.).
The mode that manual operator or service platform computerized speech system show through voice or plane proposes the suggestion of behavior relevant information data to this user.For example; Owing to show that the most possible demand of this user of current time is to have dinner as early as possible in the service platform, so manual operator or service platform computerized speech system just can directly adopt so initial greeting to say hello to the user in call through: " you are good for Mr. A! Be very glad and be your service; Could you tell me and need have dinner? " After having obtained the current affirmation that need have dinner as early as possible of this user; Directly to this user suggestion in the G dining room, H restaurant, I restaurant have dinner, and can inform the particular location in each dining room, current cuisine, price standard and present information such as flow of the people situation.By the information of this user, determine oneself to go to which home dining room to have dinner then according to current alternative three tame dining rooms that service platform provided actually.Both saved calling party and service platform both sides great amount of time, and brought user experience sense preferably and sense of ownership to the user.
Fig. 3 is the structured flowchart of generator of the behavioural characteristic data of one embodiment of the invention.As shown in the figure, the behavior generator 300 of characteristic can comprise:
Personal information receiving element 302; Establish a communications link with calling party 301; Be used for the personal information through cordless communication network receipt of call users 301 such as mobile telephone network or vehicular communication equipment networks, the identification code of telephone number or vehicular communication equipment that therefrom extracts mobile phone is as user's name and obtain call time;
Behavioral characteristic database 303 comprises user's name and call time, and the behavioural characteristic data that are associated with user's name and call time, and said behavioural characteristic data can comprise with the description to user's behavior of text description and/or iamge description mode.
Behavioural characteristic data searching unit 304 is connected with behavioral characteristic database 303 with personal information receiving element 302 respectively, is used for according to user's name and searches behavioral characteristic database 303 call time, obtains needed behavioural characteristic data; And
The behavioural characteristic data provide unit 305, are connected with behavioural characteristic data searching unit 304, and being used for provides the behavioural characteristic data through the mode that voice or plane show.
In the present embodiment, the personal information receiving element can also comprise the current location that is used for obtaining according to global positioning system (GPS) user.
In the present embodiment, behavioral characteristic database can also comprise the behavior frequency, and through the mode that voice or plane show the behavioural characteristic data is provided in descending order according to the behavior frequency, perhaps only provides behavior frequency rank the highest behavioural characteristic data.
Fig. 4 is the structured flowchart of generator of the behavioural characteristic data of another embodiment of the present invention.As shown in the figure, the behavior generator 400 of characteristic can also comprise:
Behavior relevant information data storehouse 306, the behavior relevant information data that comprises the behavioural characteristic data and be associated with the behavioural characteristic data;
The behavior relevant information data is searched unit 307; Provide unit 305 to be connected with the behavioural characteristic data respectively with behavior relevant information data storehouse 306; Be used for behavioural characteristic data search behavior relevant information data storehouse 306 according to behavioral characteristic database 303; Obtain the behavior relevant information data, wherein can comprise the behavior address information;
The behavior relevant information data provides unit 308, searches unit 307 with the behavior relevant information data and is connected, and being used for provides the behavior relevant information data through the mode that voice or plane show.
In the present embodiment; Behavior relevant information data storehouse also comprises the behavior frequency; And through the mode that voice or plane show the behavior relevant information data is provided in descending order according to the behavior frequency, perhaps only provides behavior frequency rank the highest behavior relevant information data.The behavior relevant information data can comprise the behavior address information.
The present invention can know in advance whom the calling party is before the call through of customer call service platform, so that directly know the demand of user's most possible proposition.In addition; The present invention can also propose the suggestion to the demand of this user's most possible proposition by service platform in connecting immediately in user calling; Make that the initial greeting of service platform becomes humanized in the call through; Need not user's per call service platform and all will mechanically repeat own current most possible demand; And then please current alternative target information be provided service platform, not only saved calling party and service platform both sides great amount of time, and brought better experience sense and sense of ownership to the user.
Though the present invention with preferred embodiment openly as above; But it is not to be used for limiting the present invention; Any those skilled in the art are not breaking away from the spirit and scope of the present invention; Can make possible change and modification, so protection scope of the present invention should be as the criterion with the scope that claim of the present invention was defined.
Claims (32)
- Behavioural characteristic data method is provided, it is characterized in that, comprise step:A. receipt of call user's personal information therefrom extracts user's name and obtains call time;B. according to said user's name with search behavioral characteristic database said call time; Obtain needed behavioural characteristic data; Said behavioral characteristic database comprises user's name and call time, and the behavioural characteristic data that are associated with said user's name and said call time; AndC., said behavioural characteristic data are provided.
- 2. the method that provides according to claim 1 is characterized in that said steps A also comprises the current location of obtaining said user.
- 3. the method that provides according to claim 2 is characterized in that said user's current location is obtained according to global positioning system.
- 4. according to each described method that provides in the claim 1 to 3, it is characterized in that said method also comprises step after step C:D. according to the behavioural characteristic data search behavior relevant information data storehouse in the said behavioral characteristic database; Obtain the behavior relevant information data, the behavior relevant information data that said behavior relevant information data storehouse comprises the behavioural characteristic data and is associated with said behavioural characteristic data; AndE., said behavior relevant information data is provided.
- 5. the method that provides according to claim 4 is characterized in that said behavior relevant information data comprises the behavior address information.
- 6. the method that provides according to claim 1 is characterized in that the called party receives said calling party's personal information through cordless communication network.
- 7. the method that provides according to claim 6 is characterized in that, said cordless communication network is mobile telephone network or vehicular communication equipment network.
- 8. according to claim 1 or the 7 described methods that provide, it is characterized in that said user's name is the identification code of the telephone number or the vehicular communication equipment of mobile phone.
- 9. the method that provides according to claim 1 is characterized in that said behavioural characteristic data comprise the description to said user's behavior.
- 10. the method that provides according to claim 9 is characterized in that the mode of said description is text description and/or iamge description.
- 11. the method that provides according to claim 1 is characterized in that said behavioral characteristic database also comprises the behavior frequency, and according to said behavior frequency said behavioural characteristic data is provided in descending order.
- 12. the method that provides according to claim 4 is characterized in that, said behavior relevant information data storehouse also comprises the behavior frequency, and according to said behavior frequency said behavior relevant information data is provided in descending order.
- 13. the method that provides according to claim 1 is characterized in that said behavioral characteristic database also comprises the behavior frequency, and only provides said behavior frequency rank the highest said behavioural characteristic data.
- 14. the method that provides according to claim 4 is characterized in that, said behavior relevant information data storehouse also comprises the behavior frequency, and only provides said behavior frequency rank the highest said behavior relevant information data.
- 15., it is characterized in that said behavioural characteristic data provide through the mode that voice or plane show according to claim 11 or the 13 described methods that provide.
- 16., it is characterized in that said behavior relevant information data provides through the mode that voice or plane show according to claim 12 or the 14 described methods that provide.
- 17. the generator of behavioural characteristic data is characterized in that, comprising:The personal information receiving element establishes a communications link with the calling party, is used to receive said calling party's personal information, therefrom extracts user's name and obtains call time;Behavioral characteristic database comprises user's name and call time, and the behavioural characteristic data that are associated with said user's name and said call time;The behavioural characteristic data searching unit is connected with said behavioral characteristic database with said personal information receiving element respectively, is used for searching said behavioral characteristic database according to said user's name and said call time, obtains needed behavioural characteristic data; AndThe behavioural characteristic data provide the unit, are connected with said behavioural characteristic data searching unit, are used to provide said behavioural characteristic data.
- 18. generator according to claim 17 is characterized in that, said personal information receiving element also comprises the current location that is used to obtain said user.
- 19. generator according to claim 18 is characterized in that, said user's current location is obtained according to global positioning system.
- 20., it is characterized in that said device also comprises according to each described generator in the claim 17 to 19:Behavior relevant information data storehouse, the behavior relevant information data that comprises the behavioural characteristic data and be associated with said behavioural characteristic data;The behavior relevant information data is searched the unit; Provide the unit to be connected with said behavioural characteristic data respectively with said behavior relevant information data storehouse; Be used for behavioural characteristic data search behavior relevant information data storehouse, obtain the behavior relevant information data according to said behavioral characteristic database; AndThe behavior relevant information data provides the unit, searches the unit with said behavior relevant information data and is connected, and is used to provide said behavior relevant information data.
- 21. generator according to claim 20 is characterized in that, said behavior relevant information data comprises the behavior address information.
- 22. generator according to claim 17 is characterized in that, the called party receives said calling party's personal information through cordless communication network.
- 23. generator according to claim 22 is characterized in that, said cordless communication network is mobile telephone network or vehicular communication equipment network.
- 24., it is characterized in that said user's name is the identification code of the telephone number or the vehicular communication equipment of mobile phone according to claim 17 or 23 described generators.
- 25. generator according to claim 17 is characterized in that, said behavioural characteristic data comprise the description to said user's behavior.
- 26. generator according to claim 25 is characterized in that, the mode of said description is text description and/or iamge description.
- 27. generator according to claim 17 is characterized in that, said behavioral characteristic database also comprises the behavior frequency, and according to said behavior frequency said behavioural characteristic data is provided in descending order.
- 28. generator according to claim 20 is characterized in that, said behavior relevant information data storehouse also comprises the behavior frequency, and according to said behavior frequency said behavior relevant information data is provided in descending order.
- 29. generator according to claim 17 is characterized in that, said behavioral characteristic database also comprises the behavior frequency, and only provides said behavior frequency rank the highest said behavioural characteristic data.
- 30. generator according to claim 20 is characterized in that, said behavior relevant information data storehouse also comprises the behavior frequency, and only provides said behavior frequency rank the highest said behavior relevant information data.
- 31., it is characterized in that said behavioural characteristic data provide through the mode that voice or plane show according to claim 27 or 29 described generators.
- 32., it is characterized in that said behavior relevant information data provides through the mode that voice or plane show according to claim 28 or 30 described generators.
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| CN201010613725XA CN102573102A (en) | 2010-12-30 | 2010-12-30 | Supplying method and device of behavioral characteristic data |
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| CN1661604A (en) * | 2004-02-25 | 2005-08-31 | 松下电器产业株式会社 | Active recording analysis of mobile terminal and auto information recommendation system and method thereof |
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Application publication date: 20120711 |