CN102208085A - Method for acquiring user favorite data based on agent system and data processing device - Google Patents

Method for acquiring user favorite data based on agent system and data processing device Download PDF

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Publication number
CN102208085A
CN102208085A CN2010101443047A CN201010144304A CN102208085A CN 102208085 A CN102208085 A CN 102208085A CN 2010101443047 A CN2010101443047 A CN 2010101443047A CN 201010144304 A CN201010144304 A CN 201010144304A CN 102208085 A CN102208085 A CN 102208085A
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China
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user
historical data
unit
data
key word
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CN2010101443047A
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Chinese (zh)
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霍亮
姜宇
罗建龙
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Shanghai Pateo Network Technology Service Co Ltd
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Shanghai Pateo Electronic Equipment Manufacturing Co Ltd
Shanghai Pateo Network Technology Service Co Ltd
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Priority to CN2010101443047A priority Critical patent/CN102208085A/en
Publication of CN102208085A publication Critical patent/CN102208085A/en
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Abstract

The invention relates to a method for acquiring user favorite data based on an agent system, and a data processing device for acquiring user favorite data based on the agent system. The method comprises the following steps: recording information related to a keyword after acquiring the keyword input by an agent; forming user historical data according to the recorded information; and analyzing the user historical data to obtain the corresponding user favorite data. Therefore, the method can provide directed service for the user according to the user favorite data, and can actively recommend services to the user, thereby improving the service quality.

Description

Obtain the method and the data processing equipment of user preference data based on seat system
Technical field
The present invention relates to seat system, particularly obtain the method and the data processing equipment of user preferences based on seat system.
Background technology
At present, seat system be the business agent realize business operation and management, and other subsystems of call center and user between carry out the mutual system of demand for services, seat system can be divided into according to different classification that attend a banquet in this locality, far-end is attended a banquet, tradition is attended a banquet and IP (Internet Protocol, international agreement) attends a banquet.By seat system, can inquire about the service request that the user proposes, operation such as suggestion, thereby provide more convenient service for the user.
Existing seat system all is that the user calls, to the request of sending of attending a banquet, attend a banquet and on relevant website, search out the result relevant with service request based on this service request, then, the result of search is fed back to the user, the user sends further request to attending a banquet after understanding this Search Results, then, attend a banquet based on this further request continuation inquiry, then Query Result is fed back to the user, till this user receives satisfied result.
In the existing seat system, the request that only is based on the user searches out correlated results, then correlated results is fed back to the user, and service initiatively can't be provided, and also can't provide service at user's personal like.
Summary of the invention
The technical matters that the present invention solves is that existing seat system can not initiatively provide service for the user, can not provide service targetedly for the client based on the individual subscriber hobby.
In order to address the above problem, the invention provides and a kind ofly obtain the method for user preference data based on seat system, this method comprises: behind the key word of input that obtains to attend a banquet, write down the information relevant with described key word; Form user's historical data based on the information that is write down; Described user's historical data is analyzed, obtained corresponding user's user preference data.
Alternatively, the attend a banquet key word of input of described acquisition comprises: obtain the key word of attending a banquet based on user's services request input.
Alternatively, describedly form user's historical data based on the information that write down and comprise: user's historical data of searching relative users, when the no user historical data, set up the user historical data corresponding with described user, the information that is write down is added into user's historical data; When user's historical data is arranged, add user's historical data that the information of described record goes into to find.
Alternatively, the record information relevant with described key word comprise: recording key, record and key word search result corresponding or recording key and with the key word search result corresponding.
Alternatively, described user's historical data analyzed comprise: in real time user's historical data is analyzed, perhaps finished the service back user's historical data is analyzed attending a banquet.
Alternatively, described user's historical data is analyzed comprised described user's historical data is classified.
Alternatively, described user's historical data is classified comprise: described user's historical data is divided into diet, amusement and shopping three major types.
Alternatively, also comprise with the time order and function being that benchmark sorts to sorted record, the time is forward more, and rank is forward more.
Alternatively, comprise that also with what of the record occurrence number in user's historical data be that benchmark sorts to sorted record, occurrence number is many more, and rank is forward more.
Alternatively, the attend a banquet key word of input of described acquisition comprises and obtains the key word of attending a banquet based on digest information table input.
Alternatively, described described user's historical data is analyzed comprises: be that benchmark sorts to the record in user's historical data with the time order and function, the time is forward more, and rank is forward more.
Alternatively, described described user's historical data is analyzed comprises: with what of occurrence number is that benchmark sorts to the record in user's historical data, and occurrence number is many more, and rank is forward more.
A kind of data processing equipment that obtains user preferences based on seat system comprises record cell, data generating unit and analytic unit, and record cell writes down the information relevant with described key word behind the key word of input that obtains to attend a banquet; Data generating unit generates user's historical data with the information that is write down in the record cell; Analytic unit is analyzed user's historical data that the data generation unit generates, and obtains corresponding user's user preference data.
Alternatively, described record cell comprises control module, search unit and communication unit, control module triggers search unit work after the key word of importing is attended a banquet in reception, the information that search unit search is relevant with key word and with described and information transmission that key word is correlated with to communication unit, communication unit with the described information transmission relevant with key word to data generating unit.
Alternatively, described data generating unit comprise search the unit, set up the unit, transmission unit and storage unit, the user's historical data that whether has in the storage unit and send the relative users of key word request is searched in the described unit of searching after the information relevant with key word that obtains from record cell, and lookup result transferred to by transmission unit sets up the unit; User's historical data during the no user historical data, is set up in the described unit of setting up in storage unit in lookup result, and will search the information relevant with key word that the unit obtains and be added into newly-built user's historical data; When described transmission unit has user's historical data in lookup result, go in the storage unit accordingly in user's historical data searching the information transmission relevant that the unit obtains with key word.
Alternatively, described analytic unit comprises taxon, and this taxon is classified to the record in described user's historical data when receiving user's historical data of data generating unit generation.
Alternatively, described analytic unit also comprises statistic unit and sequencing unit, described statistic unit is added up the time or the occurrence number that belong to of a sort record after the taxon classification, and described sequencing unit is to the number of times ordering according to time order and function or appearance of the statistics of statistic unit.
Alternatively, described analytic unit comprises statistic unit and sequencing unit, the generation time or the occurrence number of the record in the described statistic unit statistics user historical data, and described sequencing unit is to the number of times ordering of described record according to time order and function or appearance.
Compared with prior art, the invention has the beneficial effects as follows:
Owing to the hobby of the present invention by analysis user, thereby, when the client files a request, not only can search out correlated results based on request, and, can also be based on user preferences, for the user provides service targetedly, perhaps initiatively be user's recommendation service, the service quality height.
Description of drawings
Fig. 1 the present invention is based on the process flow diagram of first embodiment that seat system obtains the method for user preferences;
Fig. 2 the present invention is based on the structural representation of first embodiment that seat system obtains the data processing equipment of user preferences.
Fig. 3 the present invention is based on the process flow diagram of second embodiment that seat system obtains the method for user preferences;
Fig. 4 the present invention is based on the theory diagram of second embodiment that seat system obtains the data processing equipment of user preferences;
Fig. 5 the present invention is based on the theory diagram of the 3rd embodiment that seat system obtains the data processing equipment of user preferences;
Fig. 6 the present invention is based on the theory diagram of the 4th embodiment that seat system obtains the data processing equipment of user preferences;
Fig. 7 the present invention is based on the theory diagram of the 5th embodiment that seat system obtains the data processing equipment of user preferences;
Fig. 8 the present invention is based on the theory diagram of the 6th embodiment that seat system obtains the data processing equipment of user preferences.
Embodiment
The present inventor finds, existing seat system is when providing service for the user, only the requirement based on the user proposes service, and can not provide service targetedly for the user based on user's personal like, be user's recommendation service initiatively perhaps, service quality is low.
For the foregoing reasons, the present inventor provides a kind of and obtains the method for user preferences based on seat system, sees also Fig. 1, and the inventive method comprises the steps:
S11: behind the key word that obtains to attend a banquet based on the input of user's services request, write down the information relevant with described key word;
S12: form user's historical data based on the information that is write down;
S13: described user's historical data is analyzed, obtained corresponding user's user preference data.
Describe present embodiment below in detail.The method of this invention can realize that this device comprises record cell 1, data generating unit 2 and analytic unit 3 by data processing equipment shown in Figure 2.
Execution in step S11: behind the key word that obtains to attend a banquet based on the input of user's services request, write down the information relevant with described key word.
In this step, the generation of described key word has dual mode, and first kind is: attend a banquet after receiving user's phone, select key word from dialog context.Such as, the user informs " I will eat Sichuan cuisine ", then attending a banquet and selecting key word is Sichuan cuisine.Second kind is: seat system comprises recording device, this recording device typing content with user's communication of attending a banquet, then, seat system extracts key word from the content of conversation, such as, dialog context is " I will eat Sichuan cuisine ", the telephonist answers " just a moment,please ", then, the key word that obtains from recording device of seat system is a Sichuan cuisine.
In the above-mentioned dual mode that obtains key word, if the user throws phone into by mobile unit, then, can obtain user's current location through device such as the GPS positioning system, with current location as one of composition of key word, such as, the positional information that the GPS positioning system is obtained is West Road, Nanjing, Shanghai, the content of conversation will be eaten Sichuan cuisine for me, and then, the key word that obtains is West Road, Nanjing, Shanghai and Sichuan cuisine.
Then, attend a banquet the record cell 1 that the record cell 1 of data processing equipment or key word that seat system will obtain transfer to data processing equipment imported in key word from recording device, the record cell 1 of data processing equipment is searched for based on key word, when this step, can in network, search for based on key word, also can based on key word only with the website of data processing equipment binding on search for, also can on the information platform of data processing equipment self, search for based on key word, thereby, obtain the information relevant with key word.
The described information relevant with key word comprises key word, Search Results or key word and Search Results.
The record cell 1 of described data processing equipment is triggering to obtain key word, automatically write down the information relevant with key word, because the information relevant with key word comprises key word, Search Results or key word and Search Results, accordingly, the record cell 1 of data processing equipment is recording key only, perhaps only record searching result, perhaps record searching result and key word.When this operation of recording can occur in search procedure and begins, also can occur in the search procedure, after also can occurring in search procedure and finishing.Such as, when the information relevant with key word comprises key word and Search Results, the record cell 1 of data processing equipment can be when search procedure begins (being triggering with the key word that obtains the input of attending a banquet just) recording key, each searches out a record in search procedure, just writes down a record; Perhaps, after search procedure finishes, recording key and Search Results.
Execution in step S12: form user's historical data based on the information that is write down.
In this step, described user's historical data is the subscriber data that obtains at the previous finish message relevant with key word, such as, described user's historical data can be the information about diet, amusement and shopping.For diet information, can comprise environment characteristic (classic, modern times), the place, restaurant in restaurant name, restaurant classification (Sichuan cuisine, Hunan cuisine, Guangdong dishes), restaurant.For shopping, can comprise shopping place, businessman's title and merchandise classification.
Before the information with described record is added into user's historical data, the data generating unit 2 of data processing equipment is searched user's historical data of relative users, when the no user historical data, after setting up user's historical data corresponding, the information that is write down is added the access customer historical data with described user; When user's historical data is arranged, add user's historical data that the information of described record goes into to search.
The record cell 1 of described data processing equipment can be when whenever searching out an information relevant with key word with described information transmission to data generating unit 2, data generating unit 2 is added directly to described information in user's historical data, perhaps when the no user historical data, set up user's historical data and described information is added into user's historical data; Perhaps, data processing equipment is set up temporary folder for the active user, the information relevant with key word is put into temporary folder, then detect data processing equipment not overload operation the time, the information of temporary file underedge is added in user's historical data.
With the information relevant with key word is that key word and Search Results are that example explanation data processing equipment adds information the mode in user historical data in relevant with key word:
The data generating unit 2 of described data processing equipment is when the key word that receives from record cell 1, search the record in user's historical data, and the information in described key word and the user's historical data mated, when the match is successful, key word is write in the corresponding information, perhaps key word and Search Results are write in the access customer historical data; If coupling is unsuccessful, key word is not write in the access customer historical record.Such as, the active user informs that I will eat Sichuan cuisine, then finds the Sichuan cuisine information in the diet information in user's historical data, and Sichuan cuisine is write in the access customer historical data, perhaps Sichuan cuisine and Search Results is added in the Sichuan cuisine information of access customer historical data.
Execution in step S13: described user's historical data is analyzed, obtained corresponding user's user preference data.
In this step, can analyze user's historical data in real time, also can finish to analyze after the service current attending a banquet.Described analysis comprises the classification of user's historical data, sorted record is sorted.
Classification to user's historical data comprises that elder generation is divided into diet, amusement and shopping three major types with COS with described historical data.Can be divided into 4 groups with environment characteristic (classic, modern times), the place, restaurant in restaurant name, restaurant classification (Sichuan cuisine, Hunan cuisine, Guangdong dishes), restaurant to diet.For shopping, be divided into three groups with shopping place, businessman's title and merchandise classification.The analytic unit 3 of data processing equipment can belong to the number of times that of a sort record occurs behind the statistical classification, the height of number of pass times obtains user preference data, the high more user of showing of number of times likes this classification more, by such classification, when the user throws phone into, can be based on the number of times that writes down appearance to user's recommendation service, such as, when the user informs that by mobile unit I will eat Sichuan cuisine, find in the record of user's historical data about Sichuan cuisine that the existing number of times of hot fragrant remittance abroad is the highest, then near hot fragrant remittance the user's vehicle is informed the user as first-selection, thereby for the user provides specific aim, based on the service of user preferences.
Described sorted record is sorted, can sort according to the number of times in conjunction with occurring of environment characteristic, place, restaurant and aforementioned each group in restaurant name, restaurant classification, restaurant, occurrence number is corresponding with user's fancy grade, occurrence number is many more, it is forward more to sort, then, the user likes more.Ordering can be carried out in the following manner, the number of times that each bar record occurs in the analytic unit statistics user historical data of data processing equipment, what according to occurrence number the number of times that every record occurs is sorted then, such as, in user's historical record about Sichuan cuisine, the number of times of the record statistics of the Fish Filets in Hot Chili Oil in 3 pairs of Sichuan cuisine classes of analytic unit is 8 times, statistics number to Sichuan-style pork is 5 times, statistics number to Spicy diced chicken with peanuts is 2 times, then, the order of ordering is Fish Filets in Hot Chili Oil, Sichuan-style pork, Spicy diced chicken with peanuts shows that user preference data is the Fish Filets in Hot Chili Oil in the Sichuan cuisine.Fish Filets in Hot Chili Oil can be recommended the user.Certain above-mentioned ordering can also be with two or above record combination, such as, in the record for above-mentioned Fish Filets in Hot Chili Oil, discovery is recorded as 8 times the hot fragrant Fish Filets in Hot Chili Oil that converge, Fish Filets in Hot Chili Oil record number of times to spicy storm is 5 times, then, show that user's hobby data are the hot fragrant Fish Filets in Hot Chili Oil that converge, the hot fragrant Fish Filets in Hot Chili Oil that converge are recommended the user.
For shopping, the number of times that can occur according to the combination of shopping place, businessman's title, merchandise classification and aforementioned each group sorts.Same, can add up the number of times that the shopping place occurs, sort according to the height of number of times, can add up the number of times that businessman's title occurs, height according to number of times sorts, and can add up the number of times that merchandise classification occurs, and just sorts according to number of times then.Certainly, except to being combined into the line ordering of group and group, also so that big class is sorted, the sortord of sortord and group is the same, does not repeat them here.
After adopting aforesaid way, based on personal like's data of user, can provide service targetedly for the user, perhaps initiatively be user's recommendation service, the service quality height.Such as, when the user for the old user and the input key word process of searching for of attending a banquet in, attend a banquet and from the user's historical data before this user, to find user's hobby data, then, hobby data according to this user provide service targetedly for the user, perhaps initiatively be user's recommendation service, the service quality height.
See also Fig. 3, Fig. 3 is the second embodiment of the present invention, and the method for this embodiment comprises:
S21: after obtaining the key word of attending a banquet, write down the information relevant with described key word based on the digest information table input;
S22: form user's historical data based on the information that is write down;
S23: described user's historical data is analyzed, obtained corresponding user's user preference data.
Describe this second embodiment below in detail.
Execution in step S21 after obtaining the key word of attending a banquet based on the digest information table input, writes down the information relevant with described key word.
In this step, described digest information table is that data processing equipment is set up digest information table according to the required service of user, such as, described digest information table is divided into diet, amusement and shopping three major types, to each big class, can be divided into some groups again.Such as, can be divided into four groups with environment characteristic (classic, modern times), the place, restaurant in restaurant name, restaurant classification (Sichuan cuisine, Hunan cuisine, Guangdong dishes), restaurant to diet.For shopping, be divided into three groups with shopping place, businessman's title and merchandise classification.
With above-mentioned sorted table is example explanation, when search be recorded as " I will eat the water Boiled fish " time, in the record of attending a banquet with the Sichuan cuisine of Fish Filets in Hot Chili Oil input category information table.
How to write down the information relevant and in first embodiment, illustrate, do not repeat them here with key word.
Execution in step S22, the step S12 of this step and first embodiment is similar, does not repeat them here.
Execution in step S23 analyzes described user's historical data, obtains active user's hobby data.
Because the key word that obtains is attended a banquet and is imported according to digest information table, therefore, in this embodiment, described user's historical data analyzed be meant described historical data is sorted, certainly, the ordering of historical data is also comprised the information in each group is sorted.How described historical data being sorted illustrates in step S13, does not repeat them here.
See also Fig. 2 and Fig. 4, Fig. 4 the present invention is based on second embodiment that seat system obtains the data processing equipment of user preference data, this data processing equipment comprises record cell 100, data generating unit 200 and analytic unit 300, the data generating unit 2 of data generating unit 200 and analytic unit 300 and first embodiment and analytic unit 3 function classes are seemingly, the difference of first embodiment of this embodiment and data processing equipment is, the record cell 100 of this device comprises control module 11, search unit 12 and communication unit 13, control module 11 triggers search unit work after the key word of importing is attended a banquet in reception, the information transmission that the information that search unit 12 search are relevant with key word also will be correlated with described key word is to communication unit 13, to data generating unit 200, data generating unit 200 transfers to analytic unit 300 with user's historical record to communication unit 13 with the described information transmission relevant with key word.
See also Fig. 2 and Fig. 5, Fig. 5 is the 3rd embodiment of data processing equipment of the present invention, in this embodiment, described data processing equipment comprises record cell 101, data generating unit 201 and analytic unit 301, the record cell 1 of record cell 101 and analytic unit 301 and first embodiment and the function class of analytic unit 3 are seemingly, the difference of this embodiment and first embodiment is, described data generating unit 201 comprise search unit 21, set up unit 22, transmission unit 23 and storage unit 24.Describedly search user's historical data that unit 21 is searched in the storage unit 24 and sent the relative users of key word request after the information relevant with key word that obtains from record cell 1, and lookup result transferred to by transmission unit 23 set up unit 22.User's historical data during the no user historical data, is set up in the described unit 22 of setting up in storage unit 24 in lookup result, and will search the information relevant with key word that unit 21 obtains and be added into newly-built user's historical data; When described transmission unit 23 has user data in lookup result, go in the storage unit 24 accordingly in user's historical data searching the information transmission relevant that unit 21 obtains with key word.The transmission unit 23 of data generating unit 201 transfers to analytic unit 301 with user's historical record.301 pairs of user's historical datas of analytic unit are analyzed.
See also Fig. 2 and Fig. 6, Fig. 6 is the 4th embodiment of data processing equipment of the present invention, in this embodiment, described data processing equipment comprises record cell 102, data generating unit 202 and analytic unit 302, record cell 102, the record cell 1 of the data generating unit 202 and first embodiment and the function class of data generating unit 2 are seemingly, the difference of this embodiment and first embodiment is: described analytic unit is a taxon 302, this taxon 302 is classified to the record in described user's historical data when receiving user's historical data of data generating unit 202 generations.
See also Fig. 6 and Fig. 7, Fig. 7 is the 5th embodiment of data processing equipment of the present invention, in this embodiment, described data processing equipment comprises record cell 103, data generating unit 203 and analytic unit 303, record cell 103, the record cell 102 of data generating unit 203 and the 4th embodiment and the function class of data generating unit 202 are seemingly, the difference of this embodiment and the 4th embodiment is: described analytic unit 303 comprises taxon 31, statistic unit 32 and sequencing unit 33, taxon 31 is used for the record of user's historical data is classified, the time or the occurrence number that belong to of a sort record after 32 classification of 32 pairs of taxons of described statistic unit are added up, and belong to the number of times ordering of of a sort record according to time order and function or appearance after 33 pairs of taxon classification of described sequencing unit.
See also Fig. 2 and Fig. 8, Fig. 8 is the 6th embodiment of data processing equipment of the present invention, and in this embodiment, described data processing equipment comprises record cell 104, data generating unit 204 and analytic unit 304.The record cell 1 of record cell 104, data generating unit 204 and first embodiment and the function class of data generating unit 2 are seemingly, described analytic unit 304 comprises statistic unit 34 and sequencing unit 35, the generation time or the occurrence number of the record in the described statistic unit 34 statistics user historical datas, 35 pairs of described records of described sequencing unit are according to the number of times ordering of time order and function or appearance.
This device perhaps sorts by user's historical data is classified or classified and sorts, thereby, obtain user preference data, can perhaps initiatively be user's recommendation service based on this user preference data for the user provides service targetedly.
Though the present invention discloses as above with preferred embodiment, the present invention is defined in this.Any those skilled in the art without departing from the spirit and scope of the present invention, all can do various changes and modification, so protection scope of the present invention should be as the criterion with claim institute restricted portion.

Claims (18)

1. one kind is obtained the method for user preference data based on seat system, it is characterized in that, comprising:
After the key word of importing is attended a banquet in acquisition, write down the information relevant with described key word;
Form user's historical data based on the information that is write down;
Described user's historical data is analyzed, obtained corresponding user's user preference data.
2. as claimed in claim 1ly obtain the method for user preference data based on seat system, it is characterized in that, the attend a banquet key word of input of described acquisition comprises: obtain the key word of attending a banquet based on the input of user's services request.
3. the method for obtaining user preference data based on seat system as claimed in claim 1, it is characterized in that, describedly form user's historical data based on the information that write down and comprise: user's historical data of searching relative users, when the no user historical data, set up the user historical data corresponding, the information that is write down is added into user's historical data with described user; When user's historical data is arranged, add user's historical data that the information of described record goes into to find.
4. the method for obtaining user preference data based on seat system as claimed in claim 1, it is characterized in that, write down the information relevant and comprise with described key word: recording key or record and key word search result corresponding or recording key and with the key word search result corresponding.
5. the method for obtaining user preference data based on seat system as claimed in claim 1, it is characterized in that, described user's historical data analyzed comprise: in real time user's historical data is analyzed, perhaps finished the service back user's historical data is analyzed attending a banquet.
6. as claimed in claim 2ly obtain the method for user preference data, it is characterized in that, described user's historical data is analyzed comprised described user's historical data is classified based on seat system.
7. as claimed in claim 6ly obtain the method for user preference data, it is characterized in that described user's historical data is classified to be comprised: described user's historical data is divided into diet, amusement and shopping three major types based on seat system.
8. as claimed in claim 6ly obtain the method for user preference data based on seat system, it is characterized in that also comprise with the time order and function being that benchmark sorts to sorted record, the time is forward more, and rank is forward more.
9. the method for obtaining user preference data based on described seat system as claimed in claim 6, it is characterized in that, comprise that also with what of the record occurrence number in user's historical data be that benchmark sorts to sorted record, occurrence number is many more, and rank is forward more.
10. as claimed in claim 1ly obtain the method for user preference data based on seat system, it is characterized in that, the attend a banquet key word of input of described acquisition comprises and obtains the key word of attending a banquet based on the digest information table input.
11. the method for obtaining user preferences based on seat system as claimed in claim 10, it is characterized in that, described described user's historical data is analyzed comprises: be that benchmark sorts to the record in user's historical data with the time order and function, the time is forward more, and rank is forward more.
12. the method for obtaining user preference data based on described seat system as claimed in claim 10, it is characterized in that, described described user's historical data is analyzed comprises: how much with the record occurrence number in user's historical data is that benchmark sorts to the record in user's historical data, occurrence number is many more, and rank is forward more.
13. one kind is obtained the data processing equipment of user preferences based on seat system, it is characterized in that, comprising:
Record cell after the key word of importing is attended a banquet in acquisition, writes down the information relevant with described key word;
Data generating unit generates user's historical data with the information that is write down in the record cell;
Analytic unit is analyzed user's historical data that the data generation unit generates, and obtains corresponding user's user preference data.
14. as claimed in claim 13ly obtain the data processing equipment of user preferences, it is characterized in that described record cell comprises control module, search unit and communication unit based on seat system; Control module triggers search unit work after the key word of importing is attended a banquet in reception; The information that search unit search is relevant with key word and with described and information transmission that key word is correlated with to communication unit; Communication unit with the described information transmission relevant with key word to data generating unit.
15. as claimed in claim 13ly obtain the data processing equipment of user preferences based on seat system, it is characterized in that, described data generating unit comprise search the unit, set up the unit, transmission unit and storage unit; The described unit of searching searches whether the user of relative users historical data is arranged in the storage unit after the information relevant with key word that obtains from record cell, and lookup result transferred to by transmission unit sets up the unit; User's historical data during the no user historical data, is set up in the described unit of setting up in storage unit in lookup result, and will search the information relevant with key word that the unit obtains and be added into newly-built user's historical data; When described transmission unit has user's historical data in lookup result, go in the storage unit accordingly in user's historical data searching the information transmission relevant that the unit obtains with key word.
16. the data processing equipment that obtains user preferences based on seat system as claimed in claim 13, it is characterized in that, described analytic unit comprises taxon, this taxon is classified to the record in described user's historical data when receiving user's historical data of data generating unit generation.
17. the data processing equipment that obtains user preferences based on seat system as claimed in claim 16, it is characterized in that, described analytic unit also comprises statistic unit and sequencing unit, described statistic unit is added up the time or the occurrence number that belong to of a sort record after the taxon classification, and described sequencing unit is to the number of times ordering according to time order and function or appearance of the statistics of statistic unit.
18. the data processing equipment that obtains user preferences based on seat system as claimed in claim 13, it is characterized in that, described analytic unit comprises statistic unit and sequencing unit, the generation time or the occurrence number of the record in the described statistic unit statistics user historical data, described sequencing unit is to the number of times ordering of described record according to time order and function or appearance.
CN2010101443047A 2010-03-31 2010-03-31 Method for acquiring user favorite data based on agent system and data processing device Pending CN102208085A (en)

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CN102546977A (en) * 2010-12-16 2012-07-04 上海博泰悦臻电子设备制造有限公司 Method for processing calling information and processing system of method
CN103077489A (en) * 2013-01-22 2013-05-01 苏州海客科技有限公司 Prediction method of random demands of tourist user
CN105892319A (en) * 2016-04-25 2016-08-24 北京小米移动软件有限公司 Intelligent toilet control method and device
CN107395906A (en) * 2017-07-19 2017-11-24 合肥盛东信息科技有限公司 A kind of multifunctional comprehensive call center Control management system and method

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CN1592329A (en) * 2003-09-02 2005-03-09 日本电气株式会社 Portable terminal device and method and program for specifying function of portable terminal device
CN101140582A (en) * 2007-09-27 2008-03-12 中兴通讯股份有限公司 User preferences generation system and method thereof

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CN1592329A (en) * 2003-09-02 2005-03-09 日本电气株式会社 Portable terminal device and method and program for specifying function of portable terminal device
CN101140582A (en) * 2007-09-27 2008-03-12 中兴通讯股份有限公司 User preferences generation system and method thereof

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102546977A (en) * 2010-12-16 2012-07-04 上海博泰悦臻电子设备制造有限公司 Method for processing calling information and processing system of method
CN103077489A (en) * 2013-01-22 2013-05-01 苏州海客科技有限公司 Prediction method of random demands of tourist user
CN105892319A (en) * 2016-04-25 2016-08-24 北京小米移动软件有限公司 Intelligent toilet control method and device
CN107395906A (en) * 2017-07-19 2017-11-24 合肥盛东信息科技有限公司 A kind of multifunctional comprehensive call center Control management system and method

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