CN103559619A - Response method and system for garment size information - Google Patents
Response method and system for garment size information Download PDFInfo
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Abstract
The invention discloses a response method and system for garment size information. The method includes the steps of setting up and storing a sentiment classification model of the corresponding relation between user feature information and garment size information for a same garment on the basis of the garment size information and the user feature information of each user for the same garment, and responding to a client-side after the corresponding garment size information is obtained according to the set up sedimentation classification model after the user feature information which is sent by the user through the client-side is received, wherein the garment size information and the user feature information are extracted from garment evaluation information of the client-side. Due to the fact that the sedimentation classification model responds to the garment size information based on the garment size information which is relevant to the features of the user and fed back for the same garment instead of according to a general standard, the accuracy for responding to the garment size information can be improved, requirements of the user can be met, and the experience degree can be improved when the user purchases the garment.
Description
Technical field
The present invention relates to e-commerce field, particularly a kind of answer method and system of clothes size information.
Background technology
Ecommerce is mainly to utilize internet to be engaged in commercial affairs or activity, in carrying out ecommerce process, e-commerce venture need to arrange online customer service at network side, the online answer that provides various commercial affairs to be correlated with query for client by internet, the relevant query of commercial affairs relates to association attributes consulting, e-commerce venture's correlated activation consulting and the after sale service consulting etc. to commercial product.Along with the development of ecommerce, the website that more and more users use client to provide by internet access e-commerce venture, does shopping.The analysis of the clothing data by website that e-commerce venture is provided, sampling finds that there is 30% user month chat record data about clothes consultings all can information clothes size information, this shows, when carrying out clothes ecommerce, the demand of replying to clothes size information is very large, at present, specifically there are two kinds of response modes to clothes size information, below describe in detail respectively.
First kind of way, the response mode of online client to clothes size information
When the website that user uses client to provide by internet access e-commerce venture, while buying clothes, if when clothes size information is produced query or is not known that own this bought the clothes of much clothes sizes, just can provide by internet access e-commerce venture the online customer service of website, online customer service is replied suitable clothes size information according to self experience, and the clothes size information that user provides according to online customer service is carried out clothes purchase.
While adopting in this way, owing to replying the large and 24 hours characteristics endlessly of the demand of clothes size information, make online customer service workload large, waste a large amount of manpowers, and cannot meet all clothing information whole day demands of 24 hours of replying, this can reduce the Experience Degree that user carries out ecommerce.
The second way, the response mode based on standard size information realization auto answer clothes size information
By the analysis to clothes size, obtain the standard size information of corresponding height and weight, the website side that Bing e-commerce venture provides arranges the corresponding relation of height and weight and standard size information, after receiving the height and weight of client transmission, based on this corresponding relation, directly reply, and do not need online customer service service.
As shown in table 1, table 1 height and weight that to be exactly a certain large-scale clothes company arrange in website side and the mapping table of standard size information, based on this table, realize the answering to clothes size information.
Table one
Adopt in this way, to be a certain large-scale clothes company arrange for self dress-goods the corresponding relation that height and weight and standard size information are set, and is not general standard.Characteristic due to clothes, the standard size information of different garment and the corresponding relation of height and weight are likely different, corresponding relation that can not employing table one is contained all clothes, clothes size information answer as all clothes, this can cause to user, provide reply the inaccurate of clothes size information, cause user experience to decline.Further, the granularity of the corresponding relation of this set height and weight and standard size information is also as the criterion more greatly and successively and carries out clothes size information answer ratio and be easier to make mistakes, and can not meet all users' demand.
Summary of the invention
In view of this, the embodiment of the present invention provides a kind of answer method of clothes size information, and this answer method can improve the accuracy of replying clothes size information.
The present invention also provides a kind of answering system of clothes size information, and this answering system can improve the accuracy of replying clothes size information.
For achieving the above object, be of the invention processly specifically achieved in that
An answer method for clothes size information, the method comprises:
Clothes size information and self-characteristic information from each user of Garment review information extraction of client for same clothes;
Each user that extracts of take is basis for clothes size information and the self-characteristic information of same clothes, sets up and comprises for the emotional semantic classification model of user's self-characteristic information of same clothes and the corresponding relation of clothes size information and store;
Receive the self-characteristic information that user sends by client, according to emotional semantic classification model, obtain corresponding clothes size information.
The described emotional semantic classification model of setting up is:
According to the emotional semantic classification standard of setting, each user that screening is extracted is for clothes size information and the self-characteristic information of same clothes, and each user who screening is met to emotional semantic classification standard sets up emotional semantic classification model for clothes size information and the training of self-characteristic information of same clothes;
Adopt emotional semantic classification model to carry out, after the study of useful information, adding in emotional semantic classification model to all users' the clothes size information for same clothes and self-characteristic information.
Described emotional semantic classification model regularly upgrades.
The process of described storage is:
To the importing of emotional semantic classification model, modification and audit, synchronous and inquiry, wherein, importing is regularly the corresponding relation in emotional semantic classification model to be imported in the database of setting; Modification and audit are that the corresponding relation in the emotional semantic classification model to importing increases and decreases the final-period management of deleting and examining; Synchronously according to the query structure storage of setting by the corresponding relation in emotional semantic classification model; Inquiry is to provide the query interface of the database that access arranges to client.
The process of the self-characteristic information that the described user of receiving sends by client comprises:
By lexical analysis and grammatical analysis, self-characteristic information is converted to the self-characteristic information based on query structure, then adopt the mode of inverted index dependent parser to carry out index and obtain a plurality of relevant self-characteristic information, then adopt association rules to carry out two minor sorts to obtain the most relevant self-characteristic information of setting.
Described according to emotional semantic classification model, obtain corresponding clothes size information before, also comprise:
By client, inquire and will inquire about size information;
Describedly according to emotional semantic classification model, obtain corresponding clothes size information and be:
Whether can from the most relevant self-characteristic information, obtain height and weight information, if so, obtain after height and weight information to the inquiry of emotional semantic classification model, if not, mutual with client, obtain after height and weight information, then to the inquiry of emotional semantic classification model;
While obtaining corresponding clothes size information according to emotional semantic classification model, be accurate inquiry mode, in the self-characteristic range of information of setting, inquiry obtains corresponding clothes size information.
An answering system for clothes size information, this system comprises: clothes size information learning module, clothes size information management module, retrieval module and clothes size message advises module, wherein,
Clothes size information learning module, clothes size information and self-characteristic information for each user of Garment review information extraction from client for same clothes; Each user that extracts of take is basis for clothes size information and the self-characteristic information of same clothes, sets up and comprises the emotional semantic classification model for user's self-characteristic information of same clothes and the corresponding relation of clothes size information;
Clothes size information management module, for storing set up comprising for the emotional semantic classification model of user's self-characteristic information of same clothes and the corresponding relation of clothes size information;
Retrieval module, the self-characteristic information sending by client for receiving user, carries out the inquiry of corresponding relation;
Clothes size message advises module, for obtaining corresponding clothes size information according to emotional semantic classification model from clothes size information management module, by corresponding clothes size information answer client.
Clothes size information learning module, for described emotional semantic classification model, be also that each user of extracting according to the emotional semantic classification standard screening of setting is for clothes size information and the self-characteristic information of same clothes, each user who screening is met to emotional semantic classification standard obtains for the clothes size information of same clothes and the training of self-characteristic information, adopt emotional semantic classification model to carry out after the study of useful information all users' the clothes size information for same clothes and self-characteristic information, add in emotional semantic classification model; This emotional semantic classification model is regularly to upgrade.
Clothes size information management module, also for described emotional semantic classification model is stored as: by the importing of emotional semantic classification model, modification and audit, synchronous and inquiry, wherein, importing emotional semantic classification model is regularly the corresponding relation in emotional semantic classification model to be imported in the database of setting; Revise and examine exactly the corresponding relation in the emotional semantic classification model importing is increased and decreased to the final-period management of deleting and examining; Synchronously according to the query structure storage of setting by the corresponding relation in emotional semantic classification model; Inquiry corresponding relation is to provide the query interface of the database that access arranges to client.
Retrieval module, also for self-characteristic information being converted to the self-characteristic information based on query structure by lexical analysis and grammatical analysis, then adopt the mode of inverted index dependent parser to carry out index and obtain a plurality of relevant self-characteristic information, then adopt association rules to carry out two minor sorts to obtain the most relevant self-characteristic information of setting;
Clothes size message advises module, also, for inquiring about before the emotional semantic classification model of the database of setting obtains corresponding clothes size information, whether inquiry will inquire about size information; The process that emotional semantic classification model in the database that inquiry arranges obtains corresponding clothes size information is: whether can from the most relevant self-characteristic information, obtain height and weight information, if, after obtaining height and weight information, to emotional semantic classification model, inquire about, if not, mutual with client, obtain after height and weight information, then to the inquiry of emotional semantic classification model; Adopt accurate inquiry mode, in the self-characteristic range of information of setting, inquiry obtains corresponding clothes size information.
As can be seen from the above scheme, the present invention is based on clothes size information and self-characteristic information for same clothes from each user of the Garment review information extraction of client, foundation is for emotional semantic classification model the storage of user's self-characteristic information of same clothes and the corresponding relation of clothes size information, after receiving the self-characteristic information that user sends by client, according to set up emotional semantic classification model, obtain after corresponding garment dimension information acknowledged client end.The emotional semantic classification model of setting up due to the present invention based on be user for same clothes feedback with associated garments size information self-characteristic, rather than reply clothes size information according to common standards, thereby can improve the accuracy of replying clothes size information, meet consumers' demand, improved Experience Degree when user buys clothes.
Accompanying drawing explanation
The answer method process flow diagram of the clothes size information that Fig. 1 provides for the embodiment of the present invention;
The answering system structural representation of the clothes size information that Fig. 2 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.
In order to improve the accuracy of replying clothes size information, meet consumers' demand, Experience Degree when raising user buys clothes, the present invention does not reply accordingly according to the general clothes size information standard of setting, but for different garment, set up the corresponding relation of personalized clothes size information and user's self-characteristic information, each user of the Garment review information extraction of this corresponding relation based on from client is for clothes size information and the self-characteristic information of same clothes, so the clothes size information accuracy rate arranging is higher.
The answer method process flow diagram of the clothes size information that Fig. 1 provides for the embodiment of the present invention, its concrete steps are:
In this step, after carrying out synchronously, extract each user for clothes size information and the self-characteristic information of same clothes from Garment review system to Garment review information, described user's self-characteristic information is the information such as user's height and weight;
In this step, setting up emotional semantic classification model need to train, set emotional semantic classification standard, each user who extracts according to the emotional semantic classification standard screening of setting is for clothes size information and the self-characteristic information of same clothes, each user who screening is met to emotional semantic classification standard sets up emotional semantic classification model for clothes size information and the training of self-characteristic information of same clothes, adopt emotional semantic classification model to carry out after the study of useful information all users' the clothes size information for same clothes and self-characteristic information, add in emotional semantic classification model,
In this step, this process is regularly to carry out, and can regularly upgrade emotional semantic classification model;
Storage emotional semantic classification model imports to the corresponding relation in emotional semantic classification model in the database of setting in fact exactly, when importing, comprises four of corresponding relation processing procedures: importing, modification and audit, synchronous and inquiry; Wherein, importing corresponding relation is exactly regularly the corresponding relation in emotional semantic classification model to be imported in the database of setting; Revise and examine exactly the corresponding relation in the emotional semantic classification model importing is increased and decreased to the final-period management of deleting and examining, audit is because conflict may appear in the corresponding relation of setting up in learning process, such as clothes size information corresponding to same height and weight, at this moment just need audit to delete; Synchronously according to the query structure storage of setting, so that inquiry by the corresponding relation in emotional semantic classification model; In fact inquiry corresponding relation is exactly the query interface that offers the database of client access setting, gets corresponding relation from database, and inquiry obtains the corresponding clothes size of user's self-characteristic information;
In this step, the database of setting can be mongodb database, namely the database based on distributed document storage;
In this step, by lexical analysis and grammatical analysis, self-characteristic information is converted to the self-characteristic information based on query structure, then adopt the mode of inverted index dependent parser to carry out index and obtain a plurality of relevant self-characteristic information, adopt again association rules to carry out two minor sorts and obtain after the most relevant self-characteristic information of setting, to the data base querying corresponding relation arranging;
In this step, obtain after the most relevant self-characteristic information, the emotional semantic classification model in the database that inquiry arranges obtains corresponding clothes size information, before this, can also inquire whether will inquire about size information by client, if so, carry out this step;
In this step, the process that emotional semantic classification model in the database that concrete inquiry arranges obtains corresponding clothes size information is: whether can from the most relevant self-characteristic information, obtain height and weight information, if, after obtaining height and weight information, to emotional semantic classification model, inquire about, if not, mutual with client, obtain after height and weight information, then to the inquiry of emotional semantic classification model;
In this step, while obtaining corresponding clothes size information according to emotional semantic classification model, adopt accurate inquiry mode, also can in the self-characteristic range of information of setting, inquiry obtain corresponding clothes size information, if there is no corresponding clothes size information, can be by this self-characteristic information updating to the treating in learning data of emotional semantic classification model, make follow-up may learn garment dimension information that should self-characteristic information;
The answering system structural representation of the clothes size information that Fig. 2 provides for the embodiment of the present invention, comprising: clothes size information learning module, clothes size information management module, retrieval module and clothes size message advises module, wherein,
Clothes size information learning module, clothes size information and self-characteristic information for each user of Garment review information extraction from client for same clothes; Each user that extracts of take is basis for clothes size information and the self-characteristic information of same clothes, sets up and comprises the emotional semantic classification model for user's self-characteristic information of same clothes and the corresponding relation of clothes size information;
Clothes size information management module, for storing set up comprising for the emotional semantic classification model of user's self-characteristic information of same clothes and the corresponding relation of clothes size information;
Retrieval module, the self-characteristic information sending by client for receiving user, carries out the inquiry of corresponding relation;
Clothes size message advises module, for obtaining corresponding clothes size information according to emotional semantic classification model from clothes size information management module, by corresponding clothes size information answer client.
In this structure, clothes size information learning module, for described emotional semantic classification model, be also that each user of extracting according to the emotional semantic classification standard screening of setting is for clothes size information and the self-characteristic information of same clothes, each user who screening is met to emotional semantic classification standard obtains for the clothes size information of same clothes and the training of self-characteristic information, and this emotional semantic classification model is regularly to upgrade.
In this structure, clothes size information management module, also for described emotional semantic classification model is stored as: by the importing of emotional semantic classification model, modification and audit, synchronous and inquiry, wherein, importing emotional semantic classification model is regularly the corresponding relation in emotional semantic classification model to be imported in the database of setting; Revise and examine exactly the corresponding relation in the emotional semantic classification model importing is increased and decreased to the final-period management of deleting and examining; Synchronously according to the query structure storage of setting by the corresponding relation in emotional semantic classification model; Inquiry corresponding relation is to provide the query interface of the database that access arranges to client.
In this structure, retrieval module, also for self-characteristic information being converted to the self-characteristic information based on query structure by lexical analysis and grammatical analysis, then adopt the mode of inverted index dependent parser to carry out index and obtain a plurality of relevant self-characteristic information, then adopt association rules to carry out two minor sorts to obtain the most relevant self-characteristic information of setting; Adopt emotional semantic classification model to carry out, after the study of useful information, adding in emotional semantic classification model to all users' the clothes size information for same clothes and self-characteristic information.
In this structure, clothes size message advises module, also, for inquiring about before the emotional semantic classification model of the database of setting obtains corresponding clothes size information, whether inquiry will inquire about size information; The process that emotional semantic classification model in the database that inquiry arranges obtains corresponding clothes size information is: whether can from the most relevant self-characteristic information, obtain height and weight information, if, after obtaining height and weight information, to emotional semantic classification model, inquire about, if not, mutual with client, obtain after height and weight information, then to the inquiry of emotional semantic classification model.
In this structure, clothes size message advises module, also for adopting accurate inquiry mode, in the self-characteristic range of information of setting, inquiry obtains corresponding clothes size information.
By analyzing a large amount of users about the consulting of clothes size information, by sampling analysis, single month user accounts for 30% of consulting total amount about inquiry in the information consultation of clothes size to size problem, if solve the problem of size, can reduce greatly attendant consultation service, save a large amount of human resources.Therefore, adopt method and system provided by the invention can solve artificial reply clothes size information, and can be not at times when replying, thereby the clothes of facilitating user to buy seeking advice from, the present invention utilizes emotional semantic classification to carry out size automatic learning, reduce artificial interpolation clothes size information etc. and changed part, and automatic learning carries out for all clothes, there is stronger versatility, can offer more rational clothes size message advises of user, reduce the human input of electric commercial business industry to online customer service.
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 modification of doing, be equal to and replace and improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. an answer method for clothes size information, is characterized in that, the method comprises:
Clothes size information and self-characteristic information from each user of Garment review information extraction of client for same clothes;
Each user that extracts of take is basis for clothes size information and the self-characteristic information of same clothes, sets up and comprises for the emotional semantic classification model of user's self-characteristic information of same clothes and the corresponding relation of clothes size information and store;
Receive the self-characteristic information that user sends by client, according to emotional semantic classification model, obtain corresponding clothes size information.
2. answer method as claimed in claim 1, is characterized in that, the described emotional semantic classification model of setting up is:
According to the emotional semantic classification standard of setting, each user that screening is extracted is for clothes size information and the self-characteristic information of same clothes, and each user who screening is met to emotional semantic classification standard sets up emotional semantic classification model for clothes size information and the training of self-characteristic information of same clothes;
Adopt emotional semantic classification model to carry out, after the study of useful information, adding in emotional semantic classification model to all users' the clothes size information for same clothes and self-characteristic information.
3. answer method as claimed in claim 2, is characterized in that, described emotional semantic classification model regularly upgrades.
4. answer method as claimed in claim 1, is characterized in that, the process of described storage is:
To the importing of emotional semantic classification model, modification and audit, synchronous and inquiry, wherein, importing is regularly the corresponding relation in emotional semantic classification model to be imported in the database of setting; Modification and audit are that the corresponding relation in the emotional semantic classification model to importing increases and decreases the final-period management of deleting and examining; Synchronously according to the query structure storage of setting by the corresponding relation in emotional semantic classification model; Inquiry is to provide the query interface of the database that access arranges to client.
5. answer method as claimed in claim 1, is characterized in that, described in receive the self-characteristic information that user sends by client process comprise:
By lexical analysis and grammatical analysis, self-characteristic information is converted to the self-characteristic information based on query structure, then adopt the mode of inverted index dependent parser to carry out index and obtain a plurality of relevant self-characteristic information, then adopt association rules to carry out two minor sorts to obtain the most relevant self-characteristic information of setting.
6. answer method as claimed in claim 5, is characterized in that, described according to emotional semantic classification model, obtain corresponding clothes size information before, also comprise:
By client, inquire and will inquire about size information;
Describedly according to emotional semantic classification model, obtain corresponding clothes size information and be:
Whether can from the most relevant self-characteristic information, obtain height and weight information, if so, obtain after height and weight information to the inquiry of emotional semantic classification model, if not, mutual with client, obtain after height and weight information, then to the inquiry of emotional semantic classification model;
While obtaining corresponding clothes size information according to emotional semantic classification model, be accurate inquiry mode, in the self-characteristic range of information of setting, inquiry obtains corresponding clothes size information.
7. an answering system for clothes size information, is characterized in that, this system comprises: clothes size information learning module, clothes size information management module, retrieval module and clothes size message advises module, wherein,
Clothes size information learning module, clothes size information and self-characteristic information for each user of Garment review information extraction from client for same clothes; Each user that extracts of take is basis for clothes size information and the self-characteristic information of same clothes, sets up and comprises the emotional semantic classification model for user's self-characteristic information of same clothes and the corresponding relation of clothes size information;
Clothes size information management module, for storing set up comprising for the emotional semantic classification model of user's self-characteristic information of same clothes and the corresponding relation of clothes size information;
Retrieval module, the self-characteristic information sending by client for receiving user, carries out the inquiry of corresponding relation;
Clothes size message advises module, for obtaining corresponding clothes size information according to emotional semantic classification model from clothes size information management module, by corresponding clothes size information answer client.
8. answering system as claimed in claim 7, is characterized in that,
Clothes size information learning module, for described emotional semantic classification model, be also that each user of extracting according to the emotional semantic classification standard screening of setting is for clothes size information and the self-characteristic information of same clothes, each user who screening is met to emotional semantic classification standard obtains for the clothes size information of same clothes and the training of self-characteristic information, adopt emotional semantic classification model to carry out after the study of useful information all users' the clothes size information for same clothes and self-characteristic information, add in emotional semantic classification model; This emotional semantic classification model is regularly to upgrade.
9. answering system as claimed in claim 8, is characterized in that,
Clothes size information management module, also for described emotional semantic classification model is stored as: by the importing of emotional semantic classification model, modification and audit, synchronous and inquiry, wherein, importing emotional semantic classification model is regularly the corresponding relation in emotional semantic classification model to be imported in the database of setting; Revise and examine exactly the corresponding relation in the emotional semantic classification model importing is increased and decreased to the final-period management of deleting and examining; Synchronously according to the query structure storage of setting by the corresponding relation in emotional semantic classification model; Inquiry corresponding relation is to provide the query interface of the database that access arranges to client.
10. answering system as claimed in claim 7, is characterized in that,
Retrieval module, also for self-characteristic information being converted to the self-characteristic information based on query structure by lexical analysis and grammatical analysis, then adopt the mode of inverted index dependent parser to carry out index and obtain a plurality of relevant self-characteristic information, then adopt association rules to carry out two minor sorts to obtain the most relevant self-characteristic information of setting;
Clothes size message advises module, also, for inquiring about before the emotional semantic classification model of the database of setting obtains corresponding clothes size information, whether inquiry will inquire about size information; The process that emotional semantic classification model in the database that inquiry arranges obtains corresponding clothes size information is: whether can from the most relevant self-characteristic information, obtain height and weight information, if, after obtaining height and weight information, to emotional semantic classification model, inquire about, if not, mutual with client, obtain after height and weight information, then to the inquiry of emotional semantic classification model; Adopt accurate inquiry mode, in the self-characteristic range of information of setting, inquiry obtains corresponding clothes size information.
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