CN105809488A - Information processing method and electronic device - Google Patents
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Abstract
The invention provides an information processing method and an electronic device.The method includes the steps that a network platform obtains evaluation information related to physical stores, user data related to the physical stores are collected, and evaluation results of the physical stores are generated on the basis of the evaluation information and the user data.The method is used for solving the technical problem that in the prior art, evaluation of the physical stores is not objective enough, and the advantage of evaluating the physical stores more objectively is achieved.The method is used for solving the technical problem that in the prior art, evaluation of the physical stores is not objective enough.
Description
Technical field
The present invention relates to field of information processing, particularly relate to a kind of information processing method and electronic equipment.
Background technology
Along with the development of ecommerce, on line, the market of solid shop/brick and mortar store under line is captured in shop gradually, but, some commodity transactions, especially need the product experiencing consumption in time still to need to descend solid shop/brick and mortar store to carry out online.
In order to increase the Consumer's Experience effect of solid shop/brick and mortar store, under the line of every field, solid shop/brick and mortar store is required for making comfortable hardware environment and software environment, to improve StoreFront Consumer's Experience effect.Wherein, Consumer's Experience effect is the most directly embodied by user.But, in prior art, solid shop/brick and mortar store evaluation relies primarily on manpower and carries out；On the one hand, wasting substantial amounts of manpower and materials, on the other hand, these evaluate relatively subjective, have hysteresis quality, it is impossible to enough objective reaction users timely are at the experience effect of solid shop/brick and mortar store.
Therefore, the problem that this programme to solve is exactly: if adopting the more objective mode of one, in time Consumer's Experience is estimated, and then the competitiveness for improving solid shop/brick and mortar store provides necessary data supporting.
Summary of the invention
The embodiment of the present invention provides a kind of information processing method and electronic equipment, in order to solve the evaluation not objectively technical problem of the solid shop/brick and mortar store existed in prior art.
The application first aspect provides a kind of information processing method, including:
The evaluation information that solid shop/brick and mortar store is relevant is obtained by the network platform；
Gather the user data that described solid shop/brick and mortar store is relevant；
Based on described evaluation information and described user data, generate the evaluation result of described solid shop/brick and mortar store.
Optionally, gather the user data that described solid shop/brick and mortar store is relevant, including:
The video information of user is obtained by the image capture module collection of described solid shop/brick and mortar store；And/or
The input operation of user and the input information that described input operation is corresponding is obtained by the terminal unit of described solid shop/brick and mortar store.
Optionally, based on described evaluation information and described user data, generate the evaluation result of described solid shop/brick and mortar store, including:
Obtain the first credibility of described evaluation information；And based on described evaluation information and described first credibility, generate evaluation information score value；
Obtain the second credibility of described user data；And based on described user data and described second credibility, generate user data score value；
Based on described evaluation information score value and described user data score value, according to the first pre-defined algorithm, generate described solid shop/brick and mortar store score value, as the evaluation result of described solid shop/brick and mortar store.
Optionally, based on described evaluation information and described first credibility, generate evaluation information score value, including:
According to described evaluation information, generate for characterizing described user to the user feeling trend information of the Sentiment orientation of described solid shop/brick and mortar store with for characterizing user's user feeling intensity level to the intensity of the Sentiment orientation of described solid shop/brick and mortar store；Wherein, described Sentiment orientation includes front tendency and negative tendency；
Based on described user feeling trend information, described user feeling intensity level and described first credibility, according to the second pre-defined algorithm, generate described evaluation information score value.
Optionally, obtain the first credibility of described evaluation information, including:
Generate first user Sentiment orientation information corresponding to described user data and the first Sentiment orientation intensity；Generate the second user feeling trend information corresponding to described evaluation information and the second Sentiment orientation intensity；
Based on described first user Sentiment orientation information, the first Sentiment orientation intensity, the second user feeling trend information and the second Sentiment orientation intensity, described evaluation information is carried out Analysis on confidence, it is thus achieved that described first credibility；
Wherein, described first credibility and emotion strength difference negative correlation, described emotion strength difference is the difference between described first Sentiment orientation intensity and described second Sentiment orientation intensity.
The embodiment of the present application second aspect provides a kind of electronic equipment, including:
Housing；
Processor, is arranged in described housing, and described processor is for obtaining, by the network platform, the evaluation information that solid shop/brick and mortar store is relevant；Gather the user data that described solid shop/brick and mortar store is relevant；Based on described evaluation information and described user data, generate the evaluation result of described solid shop/brick and mortar store.
Optionally, described processor is used for:
The video information of user is obtained by the image capture module collection of described solid shop/brick and mortar store；And/or
The input operation of user and the input information that described input operation is corresponding is obtained by the terminal unit of described solid shop/brick and mortar store.
Optionally, described processor is used for:
Obtain the first credibility of described evaluation information；And based on described evaluation information and described first credibility, generate evaluation information score value；
Obtain the second credibility of described user data；And based on described user data and described second credibility, generate user data score value；
Based on described evaluation information score value and described user data score value, according to the first pre-defined algorithm, generate described solid shop/brick and mortar store score value, as the evaluation result of described solid shop/brick and mortar store.
Optionally, described processor is used for:
According to described evaluation information, generate for characterizing described user to the user feeling trend information of the Sentiment orientation of described solid shop/brick and mortar store with for characterizing user's user feeling intensity level to the intensity of the Sentiment orientation of described solid shop/brick and mortar store；Wherein, described Sentiment orientation includes front tendency and negative tendency；
Based on described user feeling trend information, described user feeling intensity level and described first credibility, according to the second pre-defined algorithm, generate described evaluation information score value.
Optionally, described processor is used for:
Generate first user Sentiment orientation information corresponding to described user data and the first Sentiment orientation intensity；Generate the second user feeling trend information corresponding to described evaluation information and the second Sentiment orientation intensity；
Based on described first user Sentiment orientation information, the first Sentiment orientation intensity, the second user feeling trend information and the second Sentiment orientation intensity, described evaluation information is carried out Analysis on confidence, it is thus achieved that described first credibility；
Wherein, described first credibility and emotion strength difference negative correlation, described emotion strength difference is the difference between described first Sentiment orientation intensity and described second Sentiment orientation intensity.
The embodiment of the present application third aspect provides a kind of electronic equipment, including:
Acquiring unit, for obtaining, by the network platform, the evaluation information that solid shop/brick and mortar store is relevant；
Collecting unit, the user data relevant for gathering described solid shop/brick and mortar store；
Generate unit, for based on described evaluation information and described user data, generating the evaluation result of described solid shop/brick and mortar store.
The one or more technical schemes provided in the embodiment of the present invention, at least have the following technical effect that or advantage:
1, in the scheme of the embodiment of the present application, obtain, by the network platform, the evaluation information that solid shop/brick and mortar store is relevant；Gather the user data that described solid shop/brick and mortar store is relevant；Then, based on described evaluation information and described user data, the evaluation result of described solid shop/brick and mortar store is generated.The user data that the evaluation information of the solid shop/brick and mortar store obtained by the network platform and solid shop/brick and mortar store are collected, the comprehensive evaluation result generating solid shop/brick and mortar store, avoid dependence manpower the evaluation of user is acquired, thus alleviating the evaluation not objectively technical problem of the solid shop/brick and mortar store existed in prior art, it is achieved that obtain the technique effect that more objectively solid shop/brick and mortar store is evaluated.
2, in the scheme of the embodiment of the present application, the user data gathering solid shop/brick and mortar store relevant includes: obtained the video information of user by the image capture module collection of described solid shop/brick and mortar store；And/or the input operation of user and the input information that described input operation is corresponding is obtained by the terminal unit of described solid shop/brick and mortar store.Video information directly gathers acquisition by image capture module, input operation and input information corresponding to described input operation directly gather acquisition by terminal unit, visible, in the scheme of the embodiment of the present application, when gathering the user data that solid shop/brick and mortar store is correlated with, avoid the subjective factors in evaluation procedure, so that the evaluation of solid shop/brick and mortar store is more objective.
3, in the scheme of the embodiment of the present application, for the evaluation information obtained by the network platform, when the credibility of assay information, evaluation information is carried out Analysis on confidence by the user data collected by solid shop/brick and mortar store, and the first credibility of evaluation information and emotion strength difference negative correlation, emotion strength difference is the difference between the Sentiment orientation intensity of user data and the Sentiment orientation intensity of evaluation information, that is, the Sentiment orientation intensity of user data and the Sentiment orientation intensity of evaluation information closer to, the first credibility of evaluation information is more high；Otherwise, then on the contrary.The user data collected due to solid shop/brick and mortar store is real data, therefore, by user data, the credibility of evaluation information is analyzed, it is possible to reduce the impact on evaluation result of the false assessing network information so that the evaluation of solid shop/brick and mortar store is more objective.
4, in the scheme of the embodiment of the present application, the user data that the data that solid shop/brick and mortar store is evaluated collect in website and solid shop/brick and mortar store, data volume is bigger, and by the user data collected in solid shop/brick and mortar store, the credibility of evaluation information is estimated, realize closed loop mechanism, thus improving the effectiveness of evaluation system.
Accompanying drawing explanation
Fig. 1 is the flow chart of the information processing method in the embodiment of the present application；
Fig. 2 is the method flow diagram that evaluation information carries out Analysis on confidence in the embodiment of the present application；
Fig. 3 is the concrete methods of realizing flow chart of the step 103 in the embodiment of the present application；
Fig. 4 is the hardware architecture diagram of the electronic equipment in the embodiment of the present application；
Fig. 5 is the high-level schematic functional block diagram of the electronic equipment in the embodiment of the present application.
Detailed description of the invention
The embodiment of the present invention provides a kind of information processing method and electronic equipment, in order to solve the evaluation not objectively technical problem of the solid shop/brick and mortar store existed in prior art.
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.
The terms "and/or", is only a kind of incidence relation describing affiliated partner, and expression can exist three kinds of relations, for instance, A and/or B, it is possible to represent: individualism A, there is A and B, individualism B these three situation simultaneously.It addition, character "/" herein, typically represent forward-backward correlation to as if the relation of a kind of "or".
Refer to Fig. 1, for the flow chart of a kind of information processing method that the embodiment of the present application provides.The method includes herein below:
Step 101: obtain the evaluation information that solid shop/brick and mortar store is relevant by the network platform.
Step 102: gather the user data that described solid shop/brick and mortar store is relevant.
Step 103: based on described evaluation information and described user data, generate the evaluation result of described solid shop/brick and mortar store.
In a step 101, the evaluation information obtaining solid shop/brick and mortar store relevant by the network platform is the evaluation information that user delivers in the network platform, and evaluation information includes Word message, pictorial information, audio-frequency information and video information etc..Concrete, it is possible to from disclosed the Internet, crawl the information relevant to solid shop/brick and mortar store by spiders, be saved in solid shop/brick and mortar store external information set C (external).
Specifically, web crawlers can from some specific retrieved webs to info web, it is also possible to scanned for for key word with the product in solid shop/brick and mortar store or solid shop/brick and mortar store by search engine, thus retrieving relevant info web.Then, the page of webpage, evaluation (including Word message, image information, audio-frequency information or video information etc.) are downloaded, is saved in C (external).In actual applications, it is also possible to record the UGC (UserGeneratedContent that this info web is corresponding；User's original content) and user profile (including account, email address etc.).
Step 102: gather the user data that described solid shop/brick and mortar store is relevant.
Wherein, the user data that solid shop/brick and mortar store is relevant can be audio-frequency information, video information, image information, input information, heat transfer agent etc..Concrete, the monitoring module in solid shop/brick and mortar store can be passed through, as: camera device, audio frequency apparatus, sensor device, and be installed in other-end equipment and can automatically gather the data that the software of the alternative events between user and terminal unit obtains, be saved in solid shop/brick and mortar store internal information set C (internal).
Concrete, video information includes the security record of solid shop/brick and mortar store, solid shop/brick and mortar store doorway for adding up the record of passenger flow and for gathering the POS (pointofsale of user's facial feature；Sales record) machine record；Audio-frequency information can be the audio-frequency information that the user extracted by sound pick-up outfit is talked；Heat transfer agent can be the environmental information relevant to temperature, humidity and noise；The operation that input operation can carry out on the terminal device for user；When input information can carry out input operation on the terminal device for user, the log information that the record user that terminal unit collects and terminal unit produce when interacting event.
In the embodiment of the present application, for the evaluation information obtained by the network platform, computer can based on semantic information extraction technique, automatically analyze extraction evaluation attributes and evaluation content, extract and experience relevant part to solid shop/brick and mortar store, then, Sentiment orientation and the tendency intensity of automatic assay is come according to sentiment analysis；Computer can also record the temporal information of each evaluation information and the credibility in the source of evaluation information (credibility of the website at evaluation information place).
In a computer, it is possible to prestore the evaluation attributes that different evaluation content is corresponding, for instance: the Sentiment orientation of evaluation content " disappointment " correspondence is negative sense, and tendency intensity is high；The Sentiment orientation of evaluation content " fortunately " correspondence is " forward ", in tendency intensity；The Sentiment orientation of evaluation content " very satisfied " correspondence is forward, and tendency intensity is high.In actual applications, it is possible to the feature of binding entity shop and product arranges corresponding evaluation content, and Sentiment orientation corresponding to evaluation content and tendency intensity.
For example, the solid shop/brick and mortar store in webpage is " * * convenience store ", evaluation object is " purchase experiences ", and the particular content of evaluation is " greatly disappointed ", then corresponding, the Sentiment orientation of evaluation content is negative sense, and tendency intensity is high.
For user data, it is possible to computer machine learning, analyze the Sentiment orientation of user from aspects such as vision, audition and behaviors.For example, video information being analyzed, video analysis result is: user's attitude is loosened, and with a smile, then it is believed that user is better in the experience of solid shop/brick and mortar store, the Sentiment orientation of user is forward, and tendency intensity is high；Again such as: audio-frequency information is analyzed, the word speed that audio analysis result is user is normal, gentle in voice, then may determine that the Sentiment orientation of user is forward, in tendency intensity；Again such as: the log information on terminal unit is analyzed, behavior analysis result is: user continuously attempts to the content that input is new, then may determine that the Sentiment orientation of user is forward, and tendency intensity is high.
It follows that the credibility of evaluation information and user data is illustrated.The user data collected due to solid shop/brick and mortar store is real data, and the credibility of user data can arrange a higher credibility.
For evaluation information, can spending of evaluation information can for the credibility of website；The credibility of evaluation information can also be that evaluation information is carried out Analysis on confidence by the user data collected by solid shop/brick and mortar store, it is thus achieved that confidence value, as in figure 2 it is shown, concrete analysis method is as follows:
Step 201: generate first user Sentiment orientation information corresponding to described user data and the first Sentiment orientation intensity.
Step 202: generate the second user feeling trend information corresponding to described evaluation information and the second Sentiment orientation intensity.
The method generating user feeling trend information and Sentiment orientation intensity, it is stated that the application does not repeat them here in above-described embodiment.
Step 203: based on described first user Sentiment orientation information, the first Sentiment orientation intensity, the second user feeling trend information and the second Sentiment orientation intensity, described evaluation information is carried out Analysis on confidence, it is thus achieved that described first credibility.
Wherein, described first credibility and emotion strength difference negative correlation, described emotion strength difference is the difference between described first Sentiment orientation intensity and described second Sentiment orientation intensity.It is to say, the Sentiment orientation intensity of the Sentiment orientation intensity of user data and evaluation information closer to, emotion strength difference is more little, and the first credibility of evaluation information is more high；Otherwise, the difference between Sentiment orientation intensity and the Sentiment orientation intensity of evaluation information of user data is more big, and the first credibility of evaluation information is more low.
In the embodiment of the present application, before by user data evaluation information being evaluated, computer needs to set up the data model u of user.
Concrete, computer is according to solid shop/brick and mortar store internal information set C (internal), based on video information or image information, realize Visual Feature Retrieval Process, judge the sex of user, age, and user's visual signature (including the time of staying, attitude and action etc.) in solid shop/brick and mortar store is recorded in the user data model corresponding with user.For audio-frequency information, split by means of audio frequency, by the audio feature extraction that is subordinate in audio frequency with different people out, and identify sex and the age of user, user's audio frequency characteristics (including emotion, emotion, word speed) in solid shop/brick and mortar store be recorded in the user data model corresponding with user simultaneously.Installing terminal equipment software detection to alternative events information in, judge the behavior characteristics (interval time between twice input of different users, input content, the velocity mode of keyboard and mouse), and record the temporal information triggering relevant alternative events；
For the environmental information that sensing equipment detects, record perceives the temporal information that user exists, as: binary switch sensor record user's elapsed time information；By the seriality of time, undertaken collecting mapping by user data, set up user model u.User model u={feature, profile, relation, sentiment}, wherein, feature refers to the fragments characteristic of this user, including text feature, video features or audio frequency characteristics；Profile records the portrait of this user, such as: the age, sex, hobby etc.；Relation is then the business relations between this user and solid shop/brick and mortar store, and such as: user is regular guest (border, the number of times that user carrys out solid shop/brick and mortar store is more), or user arrives solid shop/brick and mortar store etc. first time；Sentiment is a Consumer's Experience emotion record list, including experiencing object, Sentiment orientation, emotion intensity and time interval.
By solid shop/brick and mortar store internal information set C (internal) being analyzed extraction, finally set up multiple independent user u={feature, profile, relation, sentiment}.
It follows that the Analysis on confidence of evaluation information is illustrated.
Concrete, by means of the association of when and where, user can be published in the evaluation information of the network platform and carry out Analysis on confidence by computer.Such as: by the network platform, computer finds that user A delivers on certain website and comment that " at 3 in afternoon last Wednesday removes Changning District, Shanghai * * solid shop/brick and mortar store, experiences new product B, feels rather disappointed." by the user A evaluation information delivered, it is possible to obtain user A go the temporal information of solid shop/brick and mortar store, positional information, evaluation information Sentiment orientation and tendency intensity.Then, from user model u, extract the user data relevant to user A, if user model exists the data relevant to user A, including visual signature, audio frequency characteristics or behavior characteristics etc., and Sentiment orientation corresponding to the data that generate user A be inclined to intensity.Further, according to the Sentiment orientation of the evaluation information of user A and tendency intensity, and the Sentiment orientation of the user data of user A and tendency intensity, the evaluation information that user A is published in website carries out Analysis on confidence.Such as: it is negative sense that user A is published in the Sentiment orientation of the evaluation information of website, tendency intensity is strong, the Sentiment orientation of user data is forward, tendency intensity is strong, then owing to the Sentiment orientation of evaluation information and the Sentiment orientation of user data are different, when the evaluation information that user A is published in website carries out Analysis on confidence, it is determined that user A sends out relatively low in the credibility of the evaluation information of network.
In the embodiment of the present application, when extracting the user data relevant to user A from user model u, can be associated by temporal information and location information, further, user profile (including user name, email address etc.) can also be passed through be associated, to improve the accuracy of user-association.In actual applications, it is also possible to being associated by other features, this is not limited as by the application.
It follows that step 103 is illustrated, as it is shown on figure 3, step 103 includes herein below:
Step 1031: obtain the first credibility of described evaluation information；And based on described evaluation information and described first credibility, generate evaluation information score value.
Step 1032: obtain the second credibility of described user data；And based on described user data and described second credibility, generate user data score value.
Concrete, computing formula is as follows:
Score (ex)=1-Sum (Strength*confidential | Neg)/Sum (Strength*confidential (Pos+Neg))
Score (in)=1-Sum (Strength*confidential | Neg)/Sum (Strength*Confidential | (Pos+Neg))
nullWherein，Score (ex) is the score value of solid shop/brick and mortar store external information set C (external) correspondence，Strength is tendency intensity，Confidential is the credibility of evaluation information，Neg is negative sense evaluation information，Pos is forward evaluation information，Molecule Sum (Strength*confidential | Neg) refers to that (credibility can be the credibility of corresponding website for the intensity of the evaluation information of all negative senses in C (external) and credibility，Or by user data, evaluation information is analyzed the credibility obtained) it is multiplied and sues for peace，The intensity that denominator Sum (Strength*confidential (Pos+Neg)) is then all evaluation informations positively and negatively is multiplied with confidence score and sues for peace.
Score (in) is the score value of solid shop/brick and mortar store internal information set C (external) correspondence, Strength is tendency intensity, confidential is the credibility of user data, Neg is negative sense evaluation information, Pos is forward evaluation information, molecule Sum (Strength*confidential | Neg) refer to that in C (external), the intensity of the evaluation information of all negative senses is multiplied with credibility (credibility pre-set) and sues for peace, the intensity that denominator Sum (Strength*Confidential | (Pos+Neg)) is then all evaluation informations positively and negatively is multiplied with confidence score and sues for peace.
In actual applications, the credibility confidential of the evaluation information in formula corresponding for Score (ex) can be changed into the authority of information source (website), then corresponding, calculating the formula of score value Score (ex) is Score (ex)=1-Sum (Strength*Authority | Neg)/Sum (Strength*Authority | (Pos+Neg))；Wherein, Authority is the authority of website.
Step 1033: based on described evaluation information score value and described user data score value, according to the first pre-defined algorithm, generate described solid shop/brick and mortar store score value, as the evaluation result of described solid shop/brick and mortar store.
Concrete, the first algorithm can be Weighted Average Algorithm, and formula is as follows:
Score=w1*score (ex)+w2*score (in)
Wherein, Score is evaluation result, and w1 is the weight shared by score (ex), and w2 is the weight shared by score (in), for instance: w1=0.3, w2=0.7 can be set.In actual applications, the weight shared by score (ex) and score (in) can be set according to the situation of solid shop/brick and mortar store.Certainly, except Weighted Average Algorithm, it is also possible to using other algorithm, the application is without limitation.
In step 103, computer can set that the interval time generating evaluation result.Such as: interval time can be one week, it is also possible to is one month.
After calculating acquisition evaluation result Score by step 103, Score can be written to predefined solid shop/brick and mortar store and experience evaluation model m={store, usrexp}, wherein store correspondent entity shop, the solid shop/brick and mortar store information such as including the title of solid shop/brick and mortar store, the position of solid shop/brick and mortar store；Usrexp records the evaluation result Score of StoreFront experience and the time scale of corresponding score value.
Based on same inventive concept, the embodiment of the present application also provides for a kind of electronic equipment, as shown in Figure 4, and including:
Housing 41；
Processor 42, is arranged in described housing 41, and described processor 42 is for obtaining, by the network platform, the evaluation information that solid shop/brick and mortar store is relevant；Gather the user data that described solid shop/brick and mortar store is relevant；Based on described evaluation information and described user data, generate the evaluation result of described solid shop/brick and mortar store.
Optionally, described processor 42 is used for:
The video information of user is obtained by the image capture module collection of described solid shop/brick and mortar store；And/or
The input operation of user and the input information that described input operation is corresponding is obtained by the terminal unit of described solid shop/brick and mortar store.
Optionally, described processor 42 is used for:
Obtain the first credibility of described evaluation information；And based on described evaluation information and described first credibility, generate evaluation information score value；
Obtain the second credibility of described user data；And based on described user data and described second credibility, generate user data score value；
Based on described evaluation information score value and described user data score value, according to the first pre-defined algorithm, generate described solid shop/brick and mortar store score value, as the evaluation result of described solid shop/brick and mortar store.
Optionally, described processor 42 is used for:
According to described evaluation information, generate for characterizing described user to the user feeling trend information of the Sentiment orientation of described solid shop/brick and mortar store with for characterizing user's user feeling intensity level to the intensity of the Sentiment orientation of described solid shop/brick and mortar store；Wherein, described Sentiment orientation includes front tendency and negative tendency；
Based on described user feeling trend information, described user feeling intensity level and described first credibility, according to the second pre-defined algorithm, generate described evaluation information score value.
Optionally, described processor 42 is used for:
Generate first user Sentiment orientation information corresponding to described user data and the first Sentiment orientation intensity；Generate the second user feeling trend information corresponding to described evaluation information and the second Sentiment orientation intensity；
Based on described first user Sentiment orientation information, the first Sentiment orientation intensity, the second user feeling trend information and the second Sentiment orientation intensity, described evaluation information is carried out Analysis on confidence, it is thus achieved that described first credibility；
Wherein, described first credibility and emotion strength difference negative correlation, described emotion strength difference is the difference between described first Sentiment orientation intensity and described second Sentiment orientation intensity.
Based on same inventive concept, the embodiment of the present application also provides for a kind of electronic equipment, as it is shown in figure 5, include:
Acquiring unit 50, for obtaining, by the network platform, the evaluation information that solid shop/brick and mortar store is relevant；
Collecting unit 51, the user data relevant for gathering described solid shop/brick and mortar store；
Generate unit 52, for based on described evaluation information and described user data, generating the evaluation result of described solid shop/brick and mortar store.
Optionally, described collecting unit 51 is used for:
The video information of user is obtained by the image capture module collection of described solid shop/brick and mortar store；And/or
The input operation of user and the input information that described input operation is corresponding is obtained by the terminal unit of described solid shop/brick and mortar store.
Optionally, described generation unit 52 is used for:
Obtain the first credibility of described evaluation information；And based on described evaluation information and described first credibility, generate evaluation information score value；
Obtain the second credibility of described user data；And based on described user data and described second credibility, generate user data score value；
Based on described evaluation information score value and described user data score value, according to the first pre-defined algorithm, generate described solid shop/brick and mortar store score value, as the evaluation result of described solid shop/brick and mortar store.
Optionally, described generation unit 52 is used for:
According to described evaluation information, generate for characterizing described user to the user feeling trend information of the Sentiment orientation of described solid shop/brick and mortar store with for characterizing user's user feeling intensity level to the intensity of the Sentiment orientation of described solid shop/brick and mortar store；Wherein, described Sentiment orientation includes front tendency and negative tendency；
Based on described user feeling trend information, described user feeling intensity level and described first credibility, according to the second pre-defined algorithm, generate described evaluation information score value.
Optionally, described generation unit 52 is used for:
Generate first user Sentiment orientation information corresponding to described user data and the first Sentiment orientation intensity；Generate the second user feeling trend information corresponding to described evaluation information and the second Sentiment orientation intensity；
Based on described first user Sentiment orientation information, the first Sentiment orientation intensity, the second user feeling trend information and the second Sentiment orientation intensity, described evaluation information is carried out Analysis on confidence, it is thus achieved that described first credibility；
Wherein, described first credibility and emotion strength difference negative correlation, described emotion strength difference is the difference between described first Sentiment orientation intensity and described second Sentiment orientation intensity.
The one or more technical schemes provided in the embodiment of the present invention, at least have the following technical effect that or advantage:
1, in the scheme of the embodiment of the present application, obtain, by the network platform, the evaluation information that solid shop/brick and mortar store is relevant；Gather the user data that described solid shop/brick and mortar store is relevant；Then, based on described evaluation information and described user data, the evaluation result of described solid shop/brick and mortar store is generated.The user data that the evaluation information of the solid shop/brick and mortar store obtained by the network platform and solid shop/brick and mortar store are collected, the comprehensive evaluation result generating solid shop/brick and mortar store, avoid dependence manpower the evaluation of user is acquired, thus alleviating the evaluation not objectively technical problem of the solid shop/brick and mortar store existed in prior art, it is achieved that obtain the technique effect that more objectively solid shop/brick and mortar store is evaluated.
2, in the scheme of the embodiment of the present application, the user data gathering solid shop/brick and mortar store relevant includes: obtained the video information of user by the image capture module collection of described solid shop/brick and mortar store；And/or the input operation of user and the input information that described input operation is corresponding is obtained by the terminal unit of described solid shop/brick and mortar store.Video information directly gathers acquisition by image capture module, input operation and input information corresponding to described input operation directly gather acquisition by terminal unit, visible, in the scheme of the embodiment of the present application, when gathering the user data that solid shop/brick and mortar store is correlated with, avoid the subjective factors in evaluation procedure, so that the evaluation of solid shop/brick and mortar store is more objective.
3, in the scheme of the embodiment of the present application, for the evaluation information obtained by the network platform, when the credibility of assay information, evaluation information is carried out Analysis on confidence by the user data collected by solid shop/brick and mortar store, and the first credibility of evaluation information and emotion strength difference negative correlation, emotion strength difference is the difference between the Sentiment orientation intensity of user data and the Sentiment orientation intensity of evaluation information, that is, the Sentiment orientation intensity of user data and the Sentiment orientation intensity of evaluation information closer to, the first credibility of evaluation information is more high；Otherwise, then on the contrary.The user data collected due to solid shop/brick and mortar store is real data, therefore, by user data, the credibility of evaluation information is analyzed, it is possible to reduce the impact on evaluation result of the false assessing network information so that the evaluation of solid shop/brick and mortar store is more objective.
4, in the scheme of the embodiment of the present application, the user data that the data that solid shop/brick and mortar store is evaluated collect in website and solid shop/brick and mortar store, data volume is bigger, and by the user data collected in solid shop/brick and mortar store, the credibility of evaluation information is estimated, realize closed loop mechanism, thus improving the effectiveness of evaluation system.
Those skilled in the art are it should be appreciated that embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, complete software implementation or the embodiment in conjunction with software and hardware aspect.And, the present invention can adopt the form at one or more upper computer programs implemented of computer-usable storage medium (including but not limited to disk memory, CD-ROM, optical memory etc.) wherein including computer usable program code.
The present invention is that flow chart and/or block diagram with reference to method according to embodiments of the present invention, equipment (system) and computer program describe.It should be understood that can by the combination of the flow process in each flow process in computer program instructions flowchart and/or block diagram and/or square frame and flow chart and/or block diagram and/or square frame.These computer program instructions can be provided to produce a machine to the processor of general purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device so that the instruction performed by the processor of computer or other programmable data processing device is produced for realizing the device of function specified in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions may be alternatively stored in and can guide in the computer-readable memory that computer or other programmable data processing device work in a specific way, the instruction making to be stored in this computer-readable memory produces to include the manufacture of command device, and this command device realizes the function specified in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, make on computer or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computer or other programmable devices provides for realizing the step of function specified in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame.
Specifically, the computer program instructions that information processing method in the embodiment of the present application is corresponding can be stored in CD, hard disk, on the storage mediums such as USB flash disk, when the computer program instructions corresponding with information processing method in storage medium is read by an electronic equipment or be performed, comprise the steps:
The evaluation information that solid shop/brick and mortar store is relevant is obtained by the network platform；
Gather the user data that described solid shop/brick and mortar store is relevant；
Based on described evaluation information and described user data, generate the evaluation result of described solid shop/brick and mortar store.
Optionally, in described storage medium storage to step: gathering the user data that described solid shop/brick and mortar store is relevant, the computer instruction of correspondence is specifically being performed in process, specifically includes following steps:
The video information of user is obtained by the image capture module collection of described solid shop/brick and mortar store；And/or
The input operation of user and the input information that described input operation is corresponding is obtained by the terminal unit of described solid shop/brick and mortar store.
Optionally, store in described storage medium and step: based on described evaluation information and described user data, generate the evaluation result of described solid shop/brick and mortar store, corresponding computer instruction is specifically being performed in process, specifically includes following steps:
Obtain the first credibility of described evaluation information；And based on described evaluation information and described first credibility, generate evaluation information score value；
Obtain the second credibility of described user data；And based on described user data and described second credibility, generate user data score value；
Based on described evaluation information score value and described user data score value, according to the first pre-defined algorithm, generate described solid shop/brick and mortar store score value, as the evaluation result of described solid shop/brick and mortar store.
Optionally, store in described storage medium and step: based on described evaluation information and described first credibility, generate evaluation information score value, corresponding computer instruction is specifically being performed in process, specifically includes following steps:
According to described evaluation information, generate for characterizing described user to the user feeling trend information of the Sentiment orientation of described solid shop/brick and mortar store with for characterizing user's user feeling intensity level to the intensity of the Sentiment orientation of described solid shop/brick and mortar store；Wherein, described Sentiment orientation includes front tendency and negative tendency；
Based on described user feeling trend information, described user feeling intensity level and described first credibility, according to the second pre-defined algorithm, generate described evaluation information score value.
Optionally, store in described storage medium and step: obtaining the first credibility of described evaluation information, corresponding computer instruction is specifically being performed in process, specifically includes following steps:
Generate first user Sentiment orientation information corresponding to described user data and the first Sentiment orientation intensity；Generate the second user feeling trend information corresponding to described evaluation information and the second Sentiment orientation intensity；
Based on described first user Sentiment orientation information, the first Sentiment orientation intensity, the second user feeling trend information and the second Sentiment orientation intensity, described evaluation information is carried out Analysis on confidence, it is thus achieved that described first credibility；
Wherein, described first credibility and emotion strength difference negative correlation, described emotion strength difference is the difference between described first Sentiment orientation intensity and described second Sentiment orientation intensity.
Obviously, the present invention can be carried out various change and modification without deviating from the spirit and scope of the present invention by those skilled in the art.So, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (11)
1. an information processing method, including:
The evaluation information that solid shop/brick and mortar store is relevant is obtained by the network platform；
Gather the user data that described solid shop/brick and mortar store is relevant；
Based on described evaluation information and described user data, generate the evaluation result of described solid shop/brick and mortar store.
2. the method for claim 1, it is characterised in that gather the user data that described solid shop/brick and mortar store is relevant, including:
The video information of user is obtained by the image capture module collection of described solid shop/brick and mortar store；And/or
The input operation of user and the input information that described input operation is corresponding is obtained by the terminal unit of described solid shop/brick and mortar store.
3. method as claimed in claim 1 or 2, it is characterised in that based on described evaluation information and described user data, generate the evaluation result of described solid shop/brick and mortar store, including:
Obtain the first credibility of described evaluation information；And based on described evaluation information and described first credibility, generate evaluation information score value；
Obtain the second credibility of described user data；And based on described user data and described second credibility, generate user data score value；
Based on described evaluation information score value and described user data score value, according to the first pre-defined algorithm, generate described solid shop/brick and mortar store score value, as the evaluation result of described solid shop/brick and mortar store.
4. method as claimed in claim 3, it is characterised in that based on described evaluation information and described first credibility, generate evaluation information score value, including:
According to described evaluation information, generate for characterizing described user to the user feeling trend information of the Sentiment orientation of described solid shop/brick and mortar store with for characterizing user's user feeling intensity level to the intensity of the Sentiment orientation of described solid shop/brick and mortar store；Wherein, described Sentiment orientation includes front tendency and negative tendency；
Based on described user feeling trend information, described user feeling intensity level and described first credibility, according to the second pre-defined algorithm, generate described evaluation information score value.
5. method as claimed in claim 3, it is characterised in that obtain the first credibility of described evaluation information, including:
Generate first user Sentiment orientation information corresponding to described user data and the first Sentiment orientation intensity；Generate the second user feeling trend information corresponding to described evaluation information and the second Sentiment orientation intensity；
Based on described first user Sentiment orientation information, the first Sentiment orientation intensity, the second user feeling trend information and the second Sentiment orientation intensity, described evaluation information is carried out Analysis on confidence, it is thus achieved that described first credibility；
Wherein, described first credibility and emotion strength difference negative correlation, described emotion strength difference is the difference between described first Sentiment orientation intensity and described second Sentiment orientation intensity.
6. an electronic equipment, including:
Housing；
Processor, is arranged in described housing, and described processor is for obtaining, by the network platform, the evaluation information that solid shop/brick and mortar store is relevant；Gather the user data that described solid shop/brick and mortar store is relevant；Based on described evaluation information and described user data, generate the evaluation result of described solid shop/brick and mortar store.
7. electronic equipment as claimed in claim 6, it is characterised in that described processor is used for:
The video information of user is obtained by the image capture module collection of described solid shop/brick and mortar store；And/or
The input operation of user and the input information that described input operation is corresponding is obtained by the terminal unit of described solid shop/brick and mortar store.
8. electronic equipment as claimed in claims 6 or 7, it is characterised in that described processor is used for:
Obtain the first credibility of described evaluation information；And based on described evaluation information and described first credibility, generate evaluation information score value；
Obtain the second credibility of described user data；And based on described user data and described second credibility, generate user data score value；
Based on described evaluation information score value and described user data score value, according to the first pre-defined algorithm, generate described solid shop/brick and mortar store score value, as the evaluation result of described solid shop/brick and mortar store.
9. electronic equipment as claimed in claim 8, it is characterised in that described processor is used for:
According to described evaluation information, generate for characterizing described user to the user feeling trend information of the Sentiment orientation of described solid shop/brick and mortar store with for characterizing user's user feeling intensity level to the intensity of the Sentiment orientation of described solid shop/brick and mortar store；Wherein, described Sentiment orientation includes front tendency and negative tendency；
Based on described user feeling trend information, described user feeling intensity level and described first credibility, according to the second pre-defined algorithm, generate described evaluation information score value.
10. electronic equipment as claimed in claim 8, it is characterised in that described processor is used for:
Generate first user Sentiment orientation information corresponding to described user data and the first Sentiment orientation intensity；Generate the second user feeling trend information corresponding to described evaluation information and the second Sentiment orientation intensity；
Based on described first user Sentiment orientation information, the first Sentiment orientation intensity, the second user feeling trend information and the second Sentiment orientation intensity, described evaluation information is carried out Analysis on confidence, it is thus achieved that described first credibility；
Wherein, described first credibility and emotion strength difference negative correlation, described emotion strength difference is the difference between described first Sentiment orientation intensity and described second Sentiment orientation intensity.
11. an electronic equipment, including:
Acquiring unit, for obtaining, by the network platform, the evaluation information that solid shop/brick and mortar store is relevant；
Collecting unit, the user data relevant for gathering described solid shop/brick and mortar store；
Generate unit, for based on described evaluation information and described user data, generating the evaluation result of described solid shop/brick and mortar store.
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