CN103905507A - Service information recommendation system and service information recommendation method - Google Patents
Service information recommendation system and service information recommendation method Download PDFInfo
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- CN103905507A CN103905507A CN201210583816.2A CN201210583816A CN103905507A CN 103905507 A CN103905507 A CN 103905507A CN 201210583816 A CN201210583816 A CN 201210583816A CN 103905507 A CN103905507 A CN 103905507A
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Abstract
The invention discloses a service information recommendation system and a service information recommendation method. A user demand management unit is used for acquiring and analyzing user demand information, sending the information to a service system management unit, receiving second service information sent by the service system management unit, screening the second service information according to a preset user demand policy, and acquiring and sending third service information to a user. A user system management unit is used for establishing a user preference system corresponding to a user tag, and sending the system to the service system management unit. The service system management unit is used for matching the user demand information received from the user demand management unit and a pre-established service information system, acquiring first service information, matching the first service information, the user preference system corresponding to the user tag and the known user behavior information, and acquiring and sending the second service information to the user demand management unit. According to the invention, service information recommendation is carried out according to the user demand, which improves a service marketing effect.
Description
Technical field
The present invention relates to the data service field in communication, particularly a kind of business information commending system and business information recommend method.
Background technology
Along with the development of the communication technology, the network side of communication system can provide various types of business for user, before business is provided, the network side of communication system can carry out business information recommendation to user, make user can know the characteristic of business, thereby determine whether to receive business from the network side of communication system.In the time that the network side of communication system carries out business information recommendation process, the recommendation side of business information, such as operator, content supplier etc., according to customer service service condition or analysis obtain the information such as user characteristics, to selected user's sending business information, recommend.
Fig. 1 is that the network side of prior art communication system carries out business information commending system structural representation, at the network side of communication system, comprises user data acquiring unit, Users'Data Analysis unit and business information recommendation unit, wherein,
User data acquiring unit, for obtaining user data, comprises that customer service is used information and user profile etc., sends to Users'Data Analysis unit;
Users'Data Analysis unit, analyzes for the user data that user data acquiring unit is obtained, and obtains user characteristics, sends to business information recommendation unit;
Business information recommendation unit, for storing the corresponding relation of user characteristics and business information, the business information of user characteristics respective user data analysis unit being sent according to corresponding relation sends.
The network side of communication system is adopted and is carried out in this way business information recommendation, the network side that namely business information recommended orientation is communication system points to user, need to drop into a large amount of energy and carry out Users'Data Analysis, and only can realize when user data is analyzed comparatively accurately, the lifting of guarantee business information recommendation effect and business information are recommended the decline of cost.This needs the network side of communication system not only will bear complete cost required in business information recommendation process, also will bear in business information recommendation process because customer analysis is not in place the improper against all risks causing of the business information way of recommendation simultaneously.
Along with the appearance of social network-i i-platform in communication system, between user, there is the channel being closely connected, in the process of consumption of business, user can depart from the business information recommendation process of the network side of communication system, recommends and set up the independently autonomous business information of user.For example, user with provide the operator of business connect and obtain after business, can be by this business information, such as providing the operator chained address of this business and the content introduction information of this business etc. to upload to such as in the social network-i i-platform such as microblogging, get this business information for other and this user-dependent user in this social network-i i-platform.
The risk that the business information way of recommendation that the network side that the autonomous business information way of recommendation of this user has been evaded communication system provides is born, has reduced business information and has recommended cost.Business information recommended orientation also change into number between intercommunication business information recommend.But the autonomous business information way of recommendation of this user can only relate in social network-i i-platform and this user-dependent user, business information recommended range is restricted; When the autonomous business information of this user is recommended, the link of business is normally provided or recommends target selection by the buddy list that generates user with the interface of social network-i i-platform for user, business information recommends policing feature single, cannot realize effective management; This user is in the time carrying out business information recommendation, and the willing business conduct that can expose self, exposes privacy.In addition, the autonomous business information way of recommendation of this use is the recommendation that this user had used or bought business information, due to otherness between user, IMU is crossed in conjunction with the preference degree mode of match user and is eliminated otherness, but business information recommendation effect is still bad.There is limitation in this business information way of recommendation.
To sum up, no matter adopt the initiatively business information way of recommendation or the autonomous business information way of recommendation of user of network side of communication system, all initiatively initiate and determine according to the will of recommendation side by the business information way of recommendation, and for be the recommendation of the existing business information in recommendation side, it is a kind of advertising of the recommendation business information of recommendation side, cannot ensure so whether recommended side has identical demand with recommendation side, thereby cannot ensure recommended side's the degree of accepting business, even recommended side is caused to unnecessary bothering, make business information recommendation effect bad.
Summary of the invention
In view of this, the invention provides a kind of business information commending system, this system can be carried out business information recommendation according to user's request, improves business information recommendation effect.
The present invention also provides a kind of business information recommend method, and the method can be carried out business information recommendation according to user's request, improves business information recommendation effect.
For achieving the above object, technical scheme of the invention process is specifically achieved in that
A kind of business information commending system, this system comprises: user's request administrative unit, business system administrative unit and user's system management unit, wherein,
User's request administrative unit, be used for obtaining and resolve user's request information, sending to business system administrative unit, receiving the second business information that business system administrative unit sends, according to user's request Policy Filtering the second business information setting in advance, obtain the 3rd business information and send to this user;
User's system management unit, for setting up the user preference system of respective user label, sends to business system administrative unit;
Business system administrative unit, for mating with the business information system of setting up in advance from the single user's request information receiving of user's request management, obtain the first business information, by the first business information with user preference system and known users behavioural information that should user tag be mated, obtain the second business information, send to user's request administrative unit.
Described system also comprises: user data acquiring unit and customer service behavior management analytic unit, wherein,
User data acquiring unit, be used for obtaining user behavior information, comprise that customer service behavioural information, user recommend after behavioural information and user's request information, this user behavior information is carried out, after data cleansing and format, sending to customer service behavior management analytic unit;
Customer service behavior management analytic unit, for receiving this user behavior information after data cleansing and format, extract user's subjective data of representative of consumer hobby and user's objective data of representative of consumer behavior, set up supervised learning model according to user's subjective data and user's objective data, analysis user behavior, sends to user's system management unit by the analysis result of set up supervised learning model;
User's system management unit, for setting up user preference system corresponding to user tag according to the analysis result of set up supervised learning model.
User's system management unit, also for setting up user social contact system corresponding to user tag according to the analysis result of set up supervised learning model;
Business system administrative unit, also, for before obtaining the second business information, also mates with user social contact system.
User's system management unit, is also set to multistage for set up user preference system;
Business system administrative unit, also for by corresponding described business information system described user preference system, with third party's Establishing mapping relations.
A kind of business information recommend method, the method comprises:
Obtain and resolve user's request information;
User's request information after resolving is mated with the business information system of setting up in advance, obtain the first business information;
By user preference system corresponding with this user tag of setting up this first business information and known users behavioural information coupling, obtain the second business information;
Delete and select the second business information according to the user's request strategy setting in advance, obtain the 3rd business information and send to this user.
Setting up user preference system corresponding to this user tag is:
Obtain user behavior information, this user behavior information comprises that customer service behavioural information, user recommend behavioural information and user's request information;
This user behavior information is carried out to data cleansing and format, extract user's subjective data of representative of consumer hobby and user's objective data of representative of consumer behavior;
Set up supervised learning model according to user's subjective data and user's objective data, analysis user behavior;
Set up user preference system corresponding to user tag according to the analysis result of set up supervised learning model.
Also comprise: set up user social contact system corresponding to user tag according to the analysis result of set up supervised learning model;
Described obtain the second business information before, also mate with user social contact system.
Described user preference system is set to multistage;
The corresponding described user preference system of described business information system, with third party's Establishing mapping relations.
As can be seen from the above scheme, the present invention arranges business system administrative unit, user's system management unit and user's request administrative unit at the network side of communication system, wherein, user's request administrative unit, be used for obtaining and resolve user's request information, sending to business system administrative unit, receiving the second business information that business system administrative unit sends, according to user's request Policy Filtering the second business information setting in advance, obtain the 3rd business information and send to this user; User's system management unit, for setting up the user preference system of respective user label, sends to business system administrative unit; Business system administrative unit, for mating with the business information system of setting up in advance from the single user's request information receiving of user's request management, obtain the first business information, by the first business information with user preference system and known users behavioural information that should user tag be mated, obtain the second business information, send to user's request administrative unit.System and method provided by the invention is in the time providing business information for user, according to user behavior information and user's request information, and not only as prior art, initiatively initiated by recommendation side and determine according to the will of recommendation side, and the 3rd business information providing can be not only provides for the side of recommendation, can also be that third party provides, therefore, can carry out business information recommendation according to user's request, improve business information recommendation effect.
Brief description of the drawings
Fig. 1 is that the network side of prior art communication system carries out business information commending system structural representation;
The business information commending system overall structure schematic diagram that Fig. 2 provides for the embodiment of the present invention;
The business information commending system concrete structure schematic diagram that Fig. 3 provides for the embodiment of the present invention;
The business information recommend method flow chart that Fig. 4 provides for the embodiment of the present invention.
Embodiment
For making object of the present invention, technical scheme and advantage clearer, referring to the accompanying drawing embodiment that develops simultaneously, the present invention is described in further detail.
Can find out from background technology, the business information way of recommendation of the prior art causes the bad main cause of recommendation effect to be: initiatively initiate and determine according to the will of the side of recommendationing by recommendation side, and for be the recommendation that recommendation side has business information.
Therefore, in order to overcome this problem, the embodiment of the present invention arranges business system administrative unit, user's system management unit and user's request administrative unit at the network side of communication system, wherein, user's request administrative unit, for obtaining and resolve user's request information, send to business system administrative unit, receive the second business information that business system administrative unit sends, according to user's request Policy Filtering the second business information setting in advance, obtain the 3rd business information and send to this user; User's system management unit, for setting up the user preference system of respective user label, sends to business system administrative unit; Business system administrative unit, for mating with the business information system of setting up in advance from the single user's request information receiving of user's request management, obtain the first business information, by the first business information with user preference system and known users behavioural information that should user tag be mated, obtain the second business information, send to user's request administrative unit.
Like this, in the time providing business information for user, according to user behavior information and user's request information, and not only as prior art, initiatively initiated by recommendation side and determine according to the will of recommendation side, and the 3rd business information providing can be not only for the side of recommendation provides, can also be that third party provides, therefore, can carry out business information recommendation according to user's request, improve business information recommendation effect.
The business information commending system overall structure schematic diagram that Fig. 2 provides for the embodiment of the present invention, this system, in the network side setting of communication system, comprising: user's request administrative unit, business system administrative unit and user's system management unit, wherein,
User's request administrative unit, be used for obtaining and resolve user's request information, sending to business system administrative unit, receiving the second business information that business system administrative unit sends, according to user's request Policy Filtering the second business information setting in advance, obtain the 3rd business information and send to this user;
User's system management unit, for setting up the user preference system of respective user label, sends to business system administrative unit;
Business system administrative unit, for mating with the business information system of setting up in advance from the single user's request information receiving of user's request management, obtain the first business information, by the first business information with user preference system and known users behavioural information that should user tag be mated, obtain the second business information, send to user's request administrative unit.
Can find out, this system is carried out business information recommendation based on user's request information and user behavior information, by the management to user's request and user behavior, provides the 3rd corresponding business information to user.
Particularly, in this system, also comprise user data acquiring unit and user behavior management analysis unit.As shown in Figure 3, the business information commending system concrete structure schematic diagram that Fig. 3 provides for the embodiment of the present invention, this Fig. 3, on the basis of Fig. 2, has increased user data acquiring unit and customer service behavior management analytic unit, wherein,
User data acquiring unit, be used for obtaining user behavior information, comprise that customer service behavioural information, user recommend after behavioural information and user's request information, this user behavior information is carried out, after data cleansing and format, sending to customer service behavior management analytic unit;
Customer service behavior management analytic unit, for receiving this user behavior information after data cleansing and format, extract user's subjective data of representative of consumer hobby and user's objective data of representative of consumer behavior, set up supervised learning model according to user's subjective data and user's objective data, analysis user behavior, sends to user's system management unit by the analysis result of set up supervised learning model;
User's system management unit, for setting up user preference system corresponding to user tag according to the analysis result of set up supervised learning model.
In the system shown in Fig. 3, also comprise: user's system management unit, also for set up user social contact system corresponding to user tag according to the analysis result of set up supervised learning model;
Business system administrative unit, also, for before obtaining the second business information, also mates with user social contact system.
In the system shown in Fig. 3, user's system management unit, is also set to multistage for set up user preference system;
Business system administrative unit, also for by corresponding described business information system described user preference system, with third party's Establishing mapping relations.
In the system shown in Fig. 3, user's request administrative unit is in the time resolving user's request, utilize natural language processing technique user's request information to be resolved to the core word and the phrase that obtain in this user's request information, simultaneously also for the user who initiates this user's request information is registered.In the time sending user's request information, be that the core word in this user tag and this user's request information and phrase are sent.
Be provided with user's request strategy in user's request administrative unit, this strategy screens the second business information, the second business information comprises concrete business, product or content information, delete choosing and obtain the 3rd business information that score is higher, comprise concrete business, product or content information, directly offer this user.If be the chained address of this business information in the 3rd business information that screening obtains, this chained address is sent to this user.
In the system shown in Fig. 3, the user behavior information that user data acquiring unit obtains comprises three kinds: conventional customer service behavioural information, user recommend other business conduct information of behavioural information, user's request information and user.Wherein, conventional customer service behavioural information is the usage behavior information of user's network side of passing through communication system or non-own business own to the side of recommendation, such as various actions information such as data service use or business of networking uses.The platform that user recommends behavioural information to utilize the network side of communication system to provide for user is recommended business conduct information, and it can be the directed business conduct of recommending that this user recommends business conduct, for example, by business recommended certain particular user of giving; Also can not the directed business conduct of recommending, for example, general by business recommended.Other business conducts of user are other business conducts of user that are not included in above-mentioned three kinds of business conducts.
In the system shown in Fig. 3, customer service behavior management unit is one of essential elements of the embodiment of the present invention.User, in behavior, often directly expresses hobby and the conditions of demand to business, can be used as user's subjective data.The business conduct of the actual generation of user and other business conducts are extracted as user's objective data.Set supervised learning model can utilize user's subjective data real-time oversight to improve, and significantly reduces system resources consumption and promotes and analyze accuracy rate.Here, set supervised learning model adopts prior art to complete.
In the system shown in Fig. 3, user's system management unit is one of essential elements of the embodiment of the present invention.This unit by using, according to the analysis result of set up supervised learning model, is set up user social contact system and user preference system corresponding to user tag, has fully described this user's various information.For each user, user tag utilization is such as brief natural language description, and namely label form represents user's each side feature, such as user's identity, importance and the level of consumption etc.; User preference system represents user's main preference form, can arrange multistage, description user preference situation from coarse to fine.For example user has news category preference, has sports news class preference, has basketball news preference etc.User social contact system is mainly described user's social situation, comprises the contents such as good friend's relation, circle relation, group's relation and concern relation that user has in all kinds of social network-i i-platform.The user social contact system corresponding to user tag and user preference system in user's system management can be called for business system administrative unit.
In the system shown in Fig. 3, business system administrative unit is the core cell of the embodiment of the present invention.Will the business of having by oneself classify and set up own business system in this unit, in the time setting up, can set up multistage, such as news category business, sports news class business, basketball news category business etc.Can adopt and set up in a like fashion third party's business system, describe non-own third party's business system.For the corresponding service identification of the business information of every one-level business, such as sports news class business adopts " sports news " identify and basketball news category business employing " basketball news " identifies etc.The user who provides according to user data acquiring unit for every in business system concrete business, product and content etc. uses record, gathers that it is used, the situation of recommendation and demand.Utilize fuzzy matching technology to set up keyword mapping relations, the own business of statement and there are the mapping relations between third party's business of similar functions, for example, mapping relations between own reading business and third party's reading business simultaneously.
For business system administrative unit, in the time receiving user's request information, according to user tag to user data acquiring unit inquiry to user behavior information that should user tag, comprise that user recommends business conduct information and user's request information etc., obtain the content that other users recommend to this user, the content energy of demand before the content that this user once recommended to other users and this user.In inquiring user system management unit to user preference system and social system that should user tag.Mate with own business system and third party's business system according to the core word in the western Sydney of user's request and phrase, find the western Sydney such as the concrete business, product and the content that have under suitable operation list and this catalogue.Analyze coupling according to above-mentioned user behavior information, user preference system and social system, calculate the matching degree score of every concrete business, product and content and user's request, result after calculating is returned to user's request unit.
In the system shown in Fig. 3, unit can be integrated in the same entity in the network side of communication system, also can arrange respectively.
The business information recommend method flow chart that Fig. 4 provides for the embodiment of the present invention, its concrete steps are:
The user's request strategy that step 404, basis set in advance is deleted and is selected the second business information, obtains the 3rd business information and sends to this user.
In the method, setting up user preference system corresponding to this user tag is:
Obtain user behavior information, this user behavior information comprises that customer service behavioural information, user recommend behavioural information and user's request information;
This user behavior information is carried out to data cleansing and format, extract user's subjective data of representative of consumer hobby and user's objective data of representative of consumer behavior;
Set up supervised learning model according to user's subjective data and user's objective data, analysis user behavior;
Set up user preference system corresponding to user tag according to the analysis result of set up supervised learning model.
In the method, also comprise: set up user social contact system corresponding to user tag according to the analysis result of set up supervised learning model;
Described obtain the second business information before, also mate with user social contact system.
In the method, described user preference system is set to multistage;
The corresponding described user preference system of described business information system, with third party's Establishing mapping relations.
The system and method providing from the embodiment of the present invention can be found out, the embodiment of the present invention has increased business system administrative unit at the network side of communication system, user's system management unit and user's request administrative unit etc., improve the existing business information way of recommendation, build the business information way of recommendation based on user's request, can obtain following effect: 1, become more meticulous the autonomous business conduct of user is managed, comprise user's regular traffic behavior, user recommends business conduct, user's request behavior, realize the convergence analysis of the subjective behavior of user and user's objective data, utilization has supervision analytical model, promote the precision of customer analysis and reduce resource consumption, 2, set up taking user's request as basis, the Client-initiated business information way of recommendation, changes existing business information of being recommended by recommendation side or user and recommends pattern, 3, set up business system administrative mechanism, coordinate the result of customer analysis, realize the fusion of the own business in recommendation side, non-own business and recommend, break through the pattern that existing single own business information is recommended or single product is recommended.
To sum up, the present invention has realized the business information recommendation process based on user's independent behaviour, realize the mode that initiatively demand of initiation is carried out business information recommendation according to user, set up and user's Establishing by the parsing to user's request, business system, change traditional business information recommended orientation, recommend according to the directed business information of user's demand, promoted business information and recommended hit rate, reduce user and bother degree.The present invention has carried out effective utilization and management to the subjective behavior record information of user, merges the objective behavior record information analysis of user simultaneously, has promoted customer analysis precision, effectively reduces the complexity of analyzing simultaneously, reduces the consumption of system resource.The present invention breaks the only limitation of the good friend's behavior based in individual subscriber behavior or social networks of existing business information recommendation mode.By the analysis management to the subjective behavior of user, the foundation of user's system, the business information content recommendation that arbitrary user is obtained, all make with the associated user behavior of this business information content recommendation tool based on all, fully avoid the only limitation based on individual and a few users, promoted the reliability that business information is recommended.The present invention is by the foundation of business system and the foundation of corresponding relation, realize the fusion that own business information is recommended and non-own business information is recommended, provide more business information recommendations for selection to user, promoted the Experience Degree of user to business information commending system.The present invention has embodied influencing each other between user behavior, along with user increase and use frequent, influencing each other between user can be progressively tight, thus business information recommends precision and hit rate progressively to improve.
More than lift preferred embodiment; the object, technical solutions and advantages of the present invention are further described; institute is understood that; the foregoing is only preferred embodiment of the present invention; not in order to limit the present invention; within the spirit and principles in the present invention all, any amendment of doing, be equal to and replace and improvement etc., within all should being included in protection scope of the present invention.
Claims (8)
1. a business information commending system, is characterized in that, this system comprises: user's request administrative unit, business system administrative unit and user's system management unit, wherein,
User's request administrative unit, be used for obtaining and resolve user's request information, sending to business system administrative unit, receiving the second business information that business system administrative unit sends, according to user's request Policy Filtering the second business information setting in advance, obtain the 3rd business information and send to this user;
User's system management unit, for setting up the user preference system of respective user label, sends to business system administrative unit;
Business system administrative unit, for mating with the business information system of setting up in advance from the single user's request information receiving of user's request management, obtain the first business information, by the first business information with user preference system and known users behavioural information that should user tag be mated, obtain the second business information, send to user's request administrative unit.
2. the system as claimed in claim 1, is characterized in that, described system also comprises: user data acquiring unit and customer service behavior management analytic unit, wherein,
User data acquiring unit, be used for obtaining user behavior information, comprise that customer service behavioural information, user recommend after behavioural information and user's request information, this user behavior information is carried out, after data cleansing and format, sending to customer service behavior management analytic unit;
Customer service behavior management analytic unit, for receiving this user behavior information after data cleansing and format, extract user's subjective data of representative of consumer hobby and user's objective data of representative of consumer behavior, set up supervised learning model according to user's subjective data and user's objective data, analysis user behavior, sends to user's system management unit by the analysis result of set up supervised learning model;
User's system management unit, for setting up user preference system corresponding to user tag according to the analysis result of set up supervised learning model.
3. system as claimed in claim 2, is characterized in that, user's system management unit, also for setting up user social contact system corresponding to user tag according to the analysis result of set up supervised learning model;
Business system administrative unit, also, for before obtaining the second business information, also mates with user social contact system.
4. the system as claimed in claim 1, is characterized in that, user's system management unit is also set to multistage for set up user preference system;
Business system administrative unit, also for by corresponding described business information system described user preference system, with third party's Establishing mapping relations.
5. a business information recommend method, is characterized in that, the method comprises:
Obtain and resolve user's request information;
User's request information after resolving is mated with the business information system of setting up in advance, obtain the first business information;
By user preference system corresponding with this user tag of setting up this first business information and known users behavioural information coupling, obtain the second business information;
Delete and select the second business information according to the user's request strategy setting in advance, obtain the 3rd business information and send to this user.
6. method as claimed in claim 5, is characterized in that, sets up user preference system corresponding to this user tag to be:
Obtain user behavior information, this user behavior information comprises that customer service behavioural information, user recommend behavioural information and user's request information;
This user behavior information is carried out to data cleansing and format, extract user's subjective data of representative of consumer hobby and user's objective data of representative of consumer behavior;
Set up supervised learning model according to user's subjective data and user's objective data, analysis user behavior;
Set up user preference system corresponding to user tag according to the analysis result of set up supervised learning model.
7. method as claimed in claim 6, is characterized in that, also comprises: set up user social contact system corresponding to user tag according to the analysis result of set up supervised learning model;
Described obtain the second business information before, also mate with user social contact system.
8. method as claimed in claim 5, is characterized in that, described user preference system is set to multistage;
The corresponding described user preference system of described business information system, with third party's Establishing mapping relations.
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