CN109344327A - Method and apparatus for generating information - Google Patents
Method and apparatus for generating information Download PDFInfo
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- CN109344327A CN109344327A CN201811106140.1A CN201811106140A CN109344327A CN 109344327 A CN109344327 A CN 109344327A CN 201811106140 A CN201811106140 A CN 201811106140A CN 109344327 A CN109344327 A CN 109344327A
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Abstract
The embodiment of the present application discloses the method and apparatus for generating information.One specific embodiment of this method includes: the querying condition for receiving user and being directed to the input of search result statistical data set, wherein, search result statistical data includes search term and object factory information, wherein object factory information includes the attribute information of at least one object properties type;Then, target search result statistical data set will be determined as with the matched search result statistical data of querying condition in search result statistical data set;Finally, for each search result statistical data in target search result statistical data set, executes matching score value and determine operation.The embodiment realizes automation and carries out quantitatively evaluating to search website/search product user experience to be effectively utilized search result statistical data.
Description
Technical field
The invention relates to field of computer technology, and in particular to the method and apparatus for generating information.
Background technique
User can obtain information relevant to search term by inputting search term in search website.Different search
Website, which uses, different shows pattern or sort algorithm to provide search service for user.For the same search website is used
Family inputs same search term, and search website can also be provided by different search products different shows pattern or sequence
Algorithm for user provides search service.
Currently, mostly by the way of artificial or questionnaire to search website or search for the user experience of product into
Row evaluation.
Summary of the invention
The embodiment of the present application proposes the method and apparatus for generating information.
In a first aspect, the embodiment of the present application provides a kind of method for generating information, this method comprises: receiving user
For the querying condition of search result statistical data set input, wherein search result statistical data includes search term and object
Description information, wherein object factory information includes the attribute information of at least one object properties type;By search result statistical number
It is determined as target search result statistical data set with the matched search result statistical data of querying condition according in set;For mesh
Each search result statistical data in search result statistical data set is marked, following matching score value is executed and determines operation, obtain
Matching score value corresponding with the search result statistical data.
In some embodiments, matching score value determines that operation includes: the object factory according to the search result statistical data
The corresponding object properties type of various attribute informations included by information chooses at least one inspection in default testing conditions set
Survey condition is determined as the first testing conditions set corresponding with the search result statistical data;For identified first detector bar
Every kind of testing conditions in part set determine that the search result is united according to condition detection method corresponding with this kind of testing conditions
It counts and whether meets this kind of testing conditions, and meet in response to determining, which is detected in this kind
Under the conditions of matching score value be set as the first default value, in response to determination be unsatisfactory for, by the search result statistical data at this
Matching score value under kind testing conditions is set smaller than the second default value of first default value.
In some embodiments, search result statistical data further includes search product identification;And this method further include: use
Search product identification included in each search result statistical data generates target in target search result statistical data set
Search for product identification set;First corresponding to search result statistical data each in target search result statistical data set
Testing conditions set generates the second testing conditions set;For every kind of testing conditions in the second testing conditions set, execute with
Lower condition Service Efficiency determines operation: for each search product identification in target search product identification set, by target search
As a result the item number that the search result statistical data that product identification is the search product identification is searched in statistical data set is determined as
First search result statistical data item number, it is the search product that product identification will be searched in target search result statistical data set
Matching score value the sum of of each search result statistical data under this kind of testing conditions of mark be determined as the first matching score value and,
And by the first matching score value and divided by the resulting ratio of product of the first search result statistical data item number and the first default value
It is determined as condition Service Efficiency of the search product under this kind of testing conditions indicated by the search product identification.
In some embodiments, this method further include: for each search product in target search product identification set
Mark, item of the search product in the second testing conditions set under various testing conditions according to indicated by the search product identification
Part Service Efficiency determines the integrated condition Service Efficiency that product is searched for indicated by the search product identification.
In some embodiments, this method further include: according to each search product in target search product identification set
The integrated condition Service Efficiency of the indicated search product of mark, determines that the integrated condition of target search product identification set meets
Rate.
In some embodiments, this method further include: for each search product in target search product identification set
Mark, according to default presentation mode, it is various in the second testing conditions set to be presented product indicated by the search product identification
Condition Service Efficiency under testing conditions.
In some embodiments, this method further include: for each search product in target search product identification set
The integrated condition Service Efficiency that product is searched for indicated by the search product identification is presented in mark.
In some embodiments, search result statistical data further include: show number, object properties type include with down toward
One item missing: title, page address.
Second aspect, the embodiment of the present application provide it is a kind of for generating the device of information, the device include: receive it is single
Member is configured to receive the querying condition that user is directed to the input of search result statistical data set, wherein search result statistical number
According to including search term and object factory information, wherein object factory information includes the attribute letter of at least one object properties type
Breath;First determination unit is configured to count in search result statistical data set with the matched search result of querying condition
Data are determined as target search result statistical data set;Second determination unit is configured to count target search result
Each search result statistical data in data acquisition system executes following matching score value and determines operation, obtains uniting with the search result
Count corresponding matching score value.
In some embodiments, matching score value determines that operation includes: the object factory according to the search result statistical data
The corresponding object properties type of various attribute informations included by information chooses at least one inspection in default testing conditions set
Survey condition is determined as the first testing conditions set corresponding with the search result statistical data;For identified first detector bar
Every kind of testing conditions in part set determine that the search result is united according to condition detection method corresponding with this kind of testing conditions
It counts and whether meets this kind of testing conditions, and meet in response to determining, which is detected in this kind
Under the conditions of matching score value be set as the first default value, in response to determination be unsatisfactory for, by the search result statistical data at this
Matching score value under kind testing conditions is set smaller than the second default value of first default value.
In some embodiments, search result statistical data further includes search product identification;And the device further include: the
One generation unit is configured to included in each search result statistical data in target search result statistical data set
It searches for product identification and generates target search product identification set;Second generation unit is configured to be counted with target search result
The first testing conditions set corresponding to each search result statistical data generates the second testing conditions set in data acquisition system;The
Three determination units are configured to that it is true to execute the following conditions Service Efficiency for every kind of testing conditions in the second testing conditions set
Fixed operation: for each search product identification in target search product identification set, by target search result statistical data collection
The item number that the search result statistical data that product identification is the search product identification is searched in conjunction is determined as the first search result system
Item number is counted, each search that product identification is the search product identification will be searched in target search result statistical data set
As a result matching score value the sum of of the statistical data under this kind of testing conditions be determined as the first matching score value and, and by first matching
Score value and divided by the first search result statistical data item number and the first default value the resulting ratio of product be determined as the search produce
Condition Service Efficiency of the indicated search product of product mark under this kind of testing conditions.
In some embodiments, device further include: the 4th determination unit is configured to for target search product identification
Each search product identification in set, according to search product indicated by the search product identification in the second testing conditions set
In condition Service Efficiency under various testing conditions, determine that the integrated condition that product is searched for indicated by the search product identification meets
Rate.
In some embodiments, device further include: the 5th determination unit is configured to according to target search product identification
The integrated condition Service Efficiency that product is searched for indicated by each search product identification in set, determines target search product identification
The integrated condition Service Efficiency of set.
In some embodiments, device further include: the first display unit is configured to for target search product identification
Product indicated by the search product identification is presented according to default presentation mode in each search product identification in set
Condition Service Efficiency in two testing conditions set under various testing conditions.
In some embodiments, device further include: the second display unit is configured to for target search product identification
The integrated condition Service Efficiency that product is searched for indicated by the search product identification is presented in each search product identification in set.
In some embodiments, search result statistical data further include: show number, object properties type include with down toward
One item missing: title, page address.
The third aspect, the embodiment of the present application provide a kind of electronic equipment, comprising: one or more processors;Storage dress
It sets, is stored thereon with one or more programs, when said one or multiple programs are executed by said one or multiple processors,
So that said one or multiple processors realize the method as described in implementation any in first aspect.
Fourth aspect, the embodiment of the present application provide a kind of computer readable storage medium, are stored thereon with computer journey
Sequence, wherein realized when the computer program is executed by one or more processors such as implementation description any in first aspect
Method.
Method and apparatus provided by the embodiments of the present application for generating information are united by receiving user for search result
Count the querying condition of set input, wherein search result statistical data includes search term and object factory information, wherein
Object factory information includes the attribute information of at least one object properties type;It then, will be in search result statistical data set
It is determined as target search result statistical data set with the matched search result statistical data of querying condition;Finally, for target
Each search result statistical data in search result statistical data set executes matching score value and determines operation.To effectively sharp
With search result statistical data, realizes automation and quantitatively evaluating is carried out to search website/search product user experience.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the application's is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is that one embodiment of the application can be applied to exemplary system architecture figure therein;
Fig. 2A is the flow chart according to one embodiment of the method for generating information of the application;
Fig. 2 B is the flow chart that one embodiment of operation is determined according to the matching score value of the application;
Fig. 3 is the schematic diagram according to an application scenarios of the method for generating information of the application;
Fig. 4 A is the flow chart according to another embodiment of the method for generating information of the application;
Fig. 4 B is the flow chart that one embodiment of operation is determined according to the condition Service Efficiency of the application;
Fig. 5 is the structural schematic diagram according to one embodiment of the device for generating information of the application;
Fig. 6 is adapted for the structural schematic diagram for the computer system for realizing the electronic equipment of the embodiment of the present application.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, part relevant to related invention is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 is shown can be using the method for generating information of the application or the implementation of the device for generating information
The exemplary system architecture 100 of example.
As shown in Figure 1, system architecture 100 may include data server 101,102,103, network 104 and information are generated
Equipment 105.Network 104 between data server 101,102,103 and information generating device 105 to provide communication link
Medium.Network 104 may include various connection types, such as wired, wireless communication link or fiber optic cables etc..
User can be used information generating device 105 and be interacted by network 104 with data server 101,102,103, with
Receive or send message etc..Various telecommunication customer end applications can be installed on information generating device 105, such as believed for generating
Application, web browser applications, shopping class application, searching class application, instant messaging tools, mailbox client, the social activity of breath are flat
Platform software etc..
Information generating device 105 can be hardware, be also possible to software.It, can be with when information generating device 105 is hardware
It is the various electronic equipments with display screen, including but not limited to smart phone, tablet computer, pocket computer on knee and platform
Formula computer etc..When information generating device 105 is software, may be mounted in above-mentioned cited electronic equipment.It can
To be implemented as multiple softwares or software module (such as generating service for providing information), single software or soft also may be implemented into
Part module.It is not specifically limited herein.
Data server 101,102,103 can be to provide the server of various services, such as to information generating device 105
The application for generating information of upper display provides the background data server supported.Background data server can be to receiving
The data such as search result statistical data inquiry request analyze etc. processing, and (such as search result counts by processing result
Data) feed back to information generating device.
It should be noted that for generating the method for information generally by information generating device provided by the embodiment of the present application
105 execute, and correspondingly, the device for generating information is generally positioned in information generating device 105.In some cases, on
Stating system architecture 100 can not also include data server 101,102,103 and network 104, that is, the embodiment of the present application is provided
The method for generating information can also be individually performed by information generating device 105.
It should be noted that data server 101,102,103 can be hardware, it is also possible to software.Work as data service
When device is hardware, the distributed server cluster of multiple data server compositions may be implemented into, single clothes also may be implemented into
Business device.When data server is software, multiple softwares or software module may be implemented into (such as providing data query clothes
Business), single software or software module also may be implemented into.It is not specifically limited herein.
It should be understood that the number of data server, network and information generating device in Fig. 1 is only schematical.Root
It factually now needs, can have any number of data server, network and information generating device.
With continued reference to Fig. 2A, it illustrates the processes according to one embodiment of the method for generating information of the application
200.The method for being used to generate information, comprising the following steps:
Step 201, the querying condition that user is directed to the input of search result statistical data set is received.
In the present embodiment, for generating the executing subject (such as information generating device shown in FIG. 1) of the method for information
User locally or remotely can be received from the terminal device being connected to the network with above-mentioned executing subject to count for search result
The querying condition of data acquisition system input.Wherein, search result statistical data may include search term and object factory information.
Here object factory information is the various information for object to be described.Wherein, object may include reality
Object, service, people, thing etc., object here can be described with information (including text, picture and sound).Object factory
Information may include the attribute information of at least one object properties type.For example, pair that object " fresh flower delivering " is described
As description information may include: florist's shop's title, service promise description, the description of fresh flower purpose classification, florist's shop's head portrait picture, florist's shop
The attribute information of location, fresh flower delivery service network address etc. attribute type.In another example the object that object " automobile " is described is retouched
Stating information may include: that vehicle producer, vehicle model, engine parameter, price, vehicle pictures, vehicle describe title etc. category
The attribute information of property type.
In some optional implementations of the present embodiment, object properties type may include at least one of following: mark
Topic, page address.Wherein, title is for summarizing object factory information, and page address is used to indicate object factory letter
Cease corresponding specific page address.
In practice, search result statistical data can also include other fields, for example, may be used also other than including search term
To include: to show number, search time etc..And here, querying condition refers to for each included by search result statistical data
The condition that a field is constrained.
In practice, search result statistical data set be can be by for statistical analysis acquired later to search log
, search for the search term and corresponding search result including user's input in log.
Here, search result statistical data set can store, search result statistical data local in above-mentioned executing subject
Set also can store in other electronic equipments being connected to the network with above-mentioned executing subject (for example, data service shown in Fig. 1
Device) in.
Step 202, it will be determined in search result statistical data set with the matched search result statistical data of querying condition
For target search result statistical data set.
In the present embodiment, based on querying condition obtained in step 201, above-mentioned executing subject (such as letter shown in FIG. 1
Breath generating device) it can be inquired first in search result statistical data set and the matched search result statistical number of querying condition
According to.Then, the search result statistical data found is determined as target search result statistical data set.
It is understood that if search result statistical data set is stored in above-mentioned executing subject local, it is above-mentioned to hold
Row main body can inquire in the search result statistical data set being locally stored to be counted with the matched search result of querying condition
Data.Then, the search result statistical data found is determined as target search result statistical data set.If search knot
Fruit statistical data set is stored in other electronic equipments with the network connection of above-mentioned executing subject (for example, data shown in Fig. 1
Server) in, then above-mentioned querying condition can be sent to other above-mentioned electronic equipments first by above-mentioned executing subject, then above-mentioned
Other electronic equipments can inquire with the matched search result statistical data of querying condition, and by the search result inquired count
Data are sent to above-mentioned executing subject, each search knot that last above-mentioned executing subject will be received from other above-mentioned electronic equipments
Fruit statistical data is determined as target search result statistical data set.
Step 203, for each search result statistical data in target search result statistical data set, matching is executed
Score value determines operation, obtains matching score value corresponding with the search result statistical data.
In the present embodiment, above-mentioned executing subject can be for target search result statistical number identified in step 202
According to each search result statistical data in set, executes matching score value and determine operation, obtain and the search result statistical data
Corresponding matching score value.
Here, above-mentioned executing subject can determine operation using various implementations matching score value, to obtain and the search
As a result the corresponding matching score value of statistical data.
As an example, above-mentioned executing subject can be by calculating search term and object factory in search result statistical data
The degree of correlation of information, and the resulting degree of correlation will be calculated as matching score value corresponding with the search result statistical data.For example,
When in object factory information including text, it can be used as and be searched by the text similarity calculated between above-mentioned text and search term
The degree of correlation of rope word and object factory information.It, can be in picture progress also for example, when being including picture in object factory information
Hold identification and obtain image content text, can be made by the text similarity calculated between above-mentioned image content text and search term
For the degree of correlation of search term and object factory information.
As another example, which can also be inputted matching trained in advance by above-mentioned executing subject
Score value determines model, obtains matching score value corresponding with this, wherein matching score value determines model for characterizing search result statistics
Data with match the corresponding relationship between score value.Matching score value determines that model can be using machine learning method, based on training
Sample set training obtains, wherein training sample may include sample searches result statistical data and the matching point of corresponding mark
Value.
In some optional implementations of the present embodiment, matching score value determines that operation may include as shown in Figure 2 B
Sub-step 2031 and sub-step 2032:
Sub-step 2031, the various attribute informations pair according to included by the object factory information of the search result statistical data
The object properties type answered chooses at least one testing conditions in default testing conditions set and is determined as uniting with the search result
Count corresponding first testing conditions set.
Here, above-mentioned executing subject can be determined first included by the object factory information of the search result statistical data
The corresponding object properties type of various attribute informations.Then, above-mentioned executing subject can use various implementations, according to really
Fixed various object properties types are chosen at least one testing conditions in default testing conditions set and are determined as and the search knot
The corresponding first testing conditions set of fruit statistical data.
Here, the testing conditions characterization in preset testing conditions set believes the attribute of at least one object properties type
Cease the condition constrained.
As an example, above-mentioned executing subject can store for characterizing pair between object properties type and testing conditions
The mapping table that should be related to.In this way, above-mentioned executing subject can create the first empty testing conditions set first, it is then, right
In identified every kind of object properties type, detection corresponding with this kind of object properties type is inquired in above-mentioned mapping table
Condition, then the testing conditions found are added in above-mentioned first testing conditions set.
As an example, above-mentioned executing subject can also create the first empty testing conditions set first, then, for default
Each testing conditions in testing conditions set inquire object properties corresponding with the testing conditions in above-mentioned mapping table
Type, then in response to determining that the object factory information of the search result statistical data includes the object properties type found,
The testing conditions are added in above-mentioned first testing conditions set.
For example, testing conditions corresponding with object properties type " object factory title " can be in object factory title not
The expansion words such as synonym, near synonym, initialism including default blacklist keyword and default blacklist keyword, for example,
Default blacklist keyword may include: pornographic associative key, drugs associative key, violence associative key, false a surname
Pass keyword, exaggerate effect keyword etc..
In another example testing conditions corresponding with object properties type " object factory picture " can be object factory picture
Image content is related to search term.
In another example testing conditions corresponding with object properties type " object factory picture " can also be object factory picture
For ninsolid color picture and the picture of non-pure words composition.
Sub-step 2032 examines every kind of testing conditions in identified first testing conditions set according to this kind
The corresponding condition detection method of survey condition, determines whether the search result statistical data meets this kind of testing conditions, and response
Meet in determining, set the first default value for matching score value of the search result statistical data under this kind of testing conditions,
It is unsatisfactory in response to determination, matching score value of the search result statistical data under this kind of testing conditions is set smaller than first
Second default value of default value.
Here, it is associated in above-mentioned executing subject for every kind of testing conditions in above-mentioned default testing conditions set
Corresponding condition detection method, the different corresponding condition detection methods of testing conditions are also different.
For example, when testing conditions is do not include the word in default blacklist keyword set in object factory title, then
It does not include presetting blacklist keyword and presetting black in determining object factory title that corresponding condition detection method, which can be,
In the case of the expansion words such as synonym, near synonym, the initialism of list keyword, determine that it does not include pre- for meeting in object factory title
If the testing conditions of the expansion words such as synonym, near synonym, the initialism of blacklist keyword and default blacklist keyword.
In another example when the image content that testing conditions are object factory picture is related to search term, corresponding detection side
Method can be the image content of identification object factory picture, obtain content keyword, then determine content keyword and search
In the case that similarity between word is greater than default similarity threshold, image content and the search for meeting object factory picture are determined
The relevant testing conditions of word.
In practice, corresponding detection method can be preset according to the difference of testing conditions here, no longer illustrated one by one herein.
In this way, above-mentioned executing subject can be for every kind in the first testing conditions set identified in sub-step 2031
Testing conditions determine whether the search result statistical data meets according to condition detection method corresponding with this kind of testing conditions
This kind of testing conditions, and meet in response to determining, by the matching of the search result statistical data under this kind of testing conditions point
Value is set as the first default value, is unsatisfactory in response to determination, by the search result statistical data under this kind of testing conditions
Matching score value is set smaller than the second default value of the first default value.As an example, here, the first default value can be
1, and the second default value can be 0.
With continued reference to the signal that Fig. 3, Fig. 3 are according to the application scenarios of the method for generating information of the present embodiment
Figure.In the application scenarios of Fig. 3, user's use information generating device 301 has input querying condition 302;Later, information generation is set
Querying condition 302 is sent to data server 303 by standby 301, and then, data server 303 is in search result statistical data collection
In conjunction inquiry with the matched search result statistical data of querying condition 302, and using the search result statistical data found as
Target search result statistical data set 304 returns to information generating device 301;Then, information generating device 301 is for target
Each search result statistical data in search result statistical data set 304 executes matching score value and determines operation, obtains each
The matching score value 305 of search result statistical data.
The method provided by the above embodiment of the application is by utilizing search result statistical data, preset testing conditions collection
Detection method corresponding with every kind of testing conditions is closed, automation is realized and search website/search product user experience is carried out
Quantitatively evaluating.
With further reference to Fig. 4 A, it illustrates the processes 400 of another embodiment of the method for generating information.The use
In the process 400 for the method for generating information, comprising the following steps:
Step 401, the querying condition that user is directed to the input of search result statistical data set is received.
In the present embodiment, for generating the executing subject (such as information generating device shown in FIG. 1) of the method for information
User locally or remotely can be received from the terminal device being connected to the network with above-mentioned executing subject to count for search result
The querying condition of data acquisition system input.Wherein, search result statistical data may include search term, search product identification and object
Description information.
Here, about object factory information, the associated description in embodiment shown in Fig. 2A in step 201 can be referred to,
Details are not described herein.
Here, search product identification is used for each search product of unique identification.The corresponding search knot of different search products
Fruit shows pattern and/or search results ranking algorithm can be different.
In practice, search result statistical data can also include other fields, for example, may be used also other than including search term
To include: to show number, search time etc..And here, querying condition refers to for each included by search result statistical data
The condition that a field is constrained.
In practice, search result statistical data set be can be by for statistical analysis acquired later to search log
, search for the search term and corresponding search result including user's input in log.
Here, search result statistical data set can store, search result statistical data local in above-mentioned executing subject
Set also can store in other electronic equipments being connected to the network with above-mentioned executing subject (for example, data service shown in Fig. 1
Device) in.
Step 402, it will be determined in search result statistical data set with the matched search result statistical data of querying condition
For target search result statistical data set.
Step 403, for each search result statistical data in target search result statistical data set, matching is executed
Score value determines operation.
In the present embodiment, in embodiment shown in the concrete operations of step 402 and step 403 and Fig. 2A step 202 and
The operation of step 203 is essentially identical, and details are not described herein.
Step 404, it is searched with included in search result statistical data each in target search result statistical data set
Rope product identification generates target search product identification set.
In the present embodiment, for generating the executing subject (such as information generating device shown in FIG. 1) of the method for information
Each search product mark included in each search result statistical data in target search result statistical data set can be used
After repetition is removed in knowledge, target search product identification set is generated.
Step 405, first corresponding to search result statistical data each in target search result statistical data set
Testing conditions set generates the second testing conditions set.
In the present embodiment, above-mentioned executing subject can use each search knot in target search result statistical data set
After each testing conditions in first testing conditions set corresponding to fruit statistical data remove repetition, the second testing conditions are generated
Set.
Step 406, it for every kind of testing conditions in the second testing conditions set, executes condition Service Efficiency and determines operation.
In the present embodiment, above-mentioned executing subject can be in the second testing conditions set generated in step 405
Every kind of testing conditions, execute condition Service Efficiency determine operation.Wherein, condition Service Efficiency determines that operation may include such as Fig. 4 B institute
The sub-step 4061 shown arrives sub-step 4063:
Sub-step 4061, for each search product identification in target search product identification set, by target search knot
Article number that the search result statistical data that product identification is the search product identification is searched in fruit statistical data set is determined as the
One search result statistical data item number.
Sub-step 4062, it is the search product identification that product identification will be searched in target search result statistical data set
Matching score value the sum of of each search result statistical data under this kind of testing conditions be determined as the first matching score value and.
Sub-step 4063, by the first matching score value and divided by the first search result statistical data item number and the first default value
The resulting ratio of product be determined as indicated by the search product identification condition of the search product under this kind of testing conditions and meet
Rate.
For clarity, here, suppose that the second testing conditions set C includes N number of testing conditions { C1, C2..., CN, it is assumed that
Target search product identification set P includes M search product identification { P1, P2..., PM, wherein N and M is positive integer.This
In, step 4061 to step 4063 is for the testing conditions C in the second testing conditions set CiExecution condition Service Efficiency determines
Operation, wherein i is positive integer.
It is assumed that searching for product identification in target search result statistical data set is PjSearch result statistical data item
Number is Count_Pj, search product identification is P in target search result statistical data setjCount_PjA search result system
K-th of search result statistical data is in testing conditions C in countingiUnder matching score value Score_Pj_Ci_ k, wherein k arrives for 1
Count_PjBetween positive integer, then the first matching score value and Score_Pj_CiIt can be formulated as follows:
It is assumed that the first default value is V1, the second default value is V2, then product identification P is searched forjIndicated search produces
Product are in testing conditions CiUnder condition Service Efficiency Rate_Pj_CiIt can be formulated as follows:
If V1It is 1, V2It is 0, then Score_Pj_CiTo search for product identification in target search result statistical data set
For PjCount_PjMeet testing conditions C in a search result statistical dataiSearch result statistical data item number, and
Count_Pj×V1It is P that product identification is searched for as in target search result statistical data setjSearch result statistical data item
Number Count_Pj。
Step 406 is arrived by step 404, condition of the available different search product under different testing conditions meets
Rate, so as to obtain user experience/evaluation quantitative information of the different search products under different testing conditions.
In some optional implementations of the present embodiment, above-mentioned executing subject can also execute the step 406 with
Afterwards, following steps 407 are executed:
Step 407, for each search product identification in target search product identification set, according to the search product mark
Know condition Service Efficiency of the indicated search product in the second testing conditions set under various testing conditions, determines that the search produces
The integrated condition Service Efficiency of the indicated search product of product mark.
Here, above-mentioned executing subject can use various implementations, for every in target search product identification set
A search product identification, according to the various detections in the second testing conditions set of search product indicated by the search product identification
Under the conditions of condition Service Efficiency, determine indicated by the search product identification search for product integrated condition Service Efficiency.
As an example, step 407 can carry out as follows:
By search product indicated by the search product identification in the second testing conditions set under various testing conditions
Condition Service Efficiency mean value is determined as searching for the integrated condition Service Efficiency of product indicated by the search product identification.
As an example, step 407 may be carried out as follows:
By search product indicated by the search product identification in the second testing conditions set under various testing conditions
Condition Service Efficiency is weighted according to the corresponding default weight of the testing conditions, and weighted sum is determined as the search product identification institute
The integrated condition Service Efficiency of the search product of instruction.Here, the corresponding default weight of every kind of testing conditions can be with historical search
As a result the quantity for meeting the search result statistical data of the testing conditions in statistical data is positively correlated, if historical search result is united
The quantity for counting the middle search result statistical data for meeting the testing conditions is more, then the corresponding default weight of the testing conditions
It is higher, whereas if meet in historical search result statistical data the quantity of the search result statistical data of the testing conditions compared with
Few, then the corresponding default weight of the testing conditions is lower.
By step 407, the integrated condition Service Efficiency of available different search product produces so as to obtain search
User experience/evaluation quantitative information of product.
In some optional implementations of the present embodiment, above-mentioned executing subject can also execute the step 407 with
Afterwards, following steps 408 are executed:
Step 408, the search product according to indicated by each search product identification in target search product identification set
Integrated condition Service Efficiency, determine the integrated condition Service Efficiency of target search product identification set.
Here, above-mentioned executing subject can use various implementations, the target search product according to obtained in step 407
The integrated condition Service Efficiency that product is searched for indicated by each search product identification in logo collection, determines target search product
The integrated condition Service Efficiency of logo collection.
As an example, step 408 can carry out as follows:
The integrated condition of product will be searched for indicated by each search product identification in target search product identification set
Service Efficiency mean value is determined as the integrated condition Service Efficiency of target search product identification set.
As an example, step 408 may be carried out as follows:
The integrated condition of product will be searched for indicated by each search product identification in target search product identification set
Service Efficiency is weighted according to the corresponding default weight of the search product identification, and weighted sum is determined as target search product identification
The integrated condition Service Efficiency of set.
Here, the corresponding default weight of every kind of search product identification can be produced with searching in historical search result statistical data
The quantity that product are identified as the search result statistical data of the search product identification is positively correlated, if historical search result statistical data
Middle search product identification is that the quantity of the search result statistical data of the search product identification is more, then the search product identification pair
The default weight answered is higher, whereas if searching for product identification in historical search result statistical data is the search product identification
Search result statistical data negligible amounts, then the corresponding default weight of the search product identification is lower.
By step 408, the integrated condition Service Efficiency of available target search product identification set, so as to step
User experience/evaluation the quantitative information for the target search product identification set inquired in rapid 401.
In some optional implementations of the present embodiment, above-mentioned executing subject can also execute the step 408 with
Afterwards, following steps 409 are executed:
Step 409, for each search product identification in target search product identification set, according to default presentation side
Integrated condition of the product indicated by the search product identification in the second testing conditions set under various testing conditions is presented in formula
Service Efficiency.
As an example it is assumed that the second testing conditions set C includes N kind testing conditions { C1, C2..., CN, it is assumed that target is searched
Rope product identification set P includes M search product identification { P1, P2..., PM, wherein N and M is positive integer.So, here
Default presentation mode can be with M search product identification { P in P1, P2..., PMIt is horizontal axis coordinate, respectively with each in P
Searching for matching score value of the product identification in the N kind testing conditions in C under every kind of testing conditions is ordinate, forms N broken line,
Wherein, every broken line corresponds to a kind of testing conditions in C, can be seen that for same search product from N broken line, in difference
Matching score value comparative situation under testing conditions.
In addition, default presentation mode is also possible to using every kind of testing conditions in the N kind testing conditions in C as horizontal axis coordinate,
Respectively with M search product identification { P in P1, P2..., PMIn N kind testing conditions in C under each testing conditions
It is ordinate with score value, forms M broken line, wherein every broken line corresponds to a search product identification in P, it can from M broken line
To find out for same testing conditions, matching score value comparative situation of the different search products under the testing conditions.
In some optional implementations of the present embodiment, above-mentioned executing subject can also execute the step 409 with
Afterwards, following steps 410 are executed:
Step 410, for each search product identification in target search product identification set, the search product mark is presented
Know the integrated condition Service Efficiency of indicated search product.
It is presented in various manners here it is possible to adopt.For example, can be searched with each of target search product identification set
Rope product identification is horizontal axis coordinate, and the integrated condition Service Efficiency to search for product indicated by the search product identification is sat as the longitudinal axis
Mark forms line chart to show.In another example can also be with each search product identification in target search product identification set
Horizontal axis coordinate forms column using the integrated condition Service Efficiency for searching for product indicated by the search product identification as ordinate of orthogonal axes
Figure is shown.
The side for being used to generate information from Fig. 4 A as can be seen that compared with the corresponding embodiment of Fig. 2A, in the present embodiment
In the process 400 of method, has more and determined that search product is under various testing conditions indicated by different search product identifications
The step of condition Service Efficiency.As a result, the present embodiment description scheme can introduce search product identification, thus realize more comprehensively,
More dimensionally generate the quantitative information evaluated search product.
With further reference to Fig. 5, as the realization to method shown in above-mentioned each figure, this application provides one kind for generating letter
One embodiment of the device of breath, the Installation practice is corresponding with embodiment of the method shown in Fig. 2A, which specifically can be with
Applied in various electronic equipments.
As shown in figure 5, the device 500 for generating information of the present embodiment includes: that receiving unit 501, first determines list
Member 502 and the second determination unit 503.Wherein, receiving unit 501 are configured to receive user for search result statistical data
Gather the querying condition of input, wherein mentioned above searching results statistical data includes search term and object factory information, wherein on
State the attribute information that object factory information includes at least one object properties type;First determination unit 502, being configured to will be upper
It states in search result statistical data set and is determined as target search knot with the matched search result statistical data of above-mentioned querying condition
Fruit statistical data set;Second determination unit 503 is configured to for every in above-mentioned target search result statistical data set
A search result statistical data executes following matching score value and determines operation, obtains and the search result statistical data corresponding
With score value.
In the present embodiment, for generating receiving unit 501, the first determination unit 502 and second of the device 500 of information
The specific processing of determination unit 503 and its brought technical effect can be respectively with reference to steps 201, step in Fig. 2A corresponding embodiment
Rapid 202 and step 203 related description, details are not described herein.
In some optional implementations of the present embodiment, above-mentioned matching score value determines that operation may include: that basis should
The corresponding object properties type of various attribute informations included by the object factory information of search result statistical data, in default inspection
It surveys at least one testing conditions of selection in set of circumstances and is determined as the first testing conditions corresponding with the search result statistical data
Set;For every kind of testing conditions in identified first testing conditions set, according to item corresponding with this kind of testing conditions
Part detection method, determines whether the search result statistical data meets this kind of testing conditions, and meets in response to determining, by this
Matching score value of the search result statistical data under this kind of testing conditions is set as the first default value, discontented in response to determining
Foot, is set smaller than above-mentioned first default value for matching score value of the search result statistical data under this kind of testing conditions
Second default value.
In some optional implementations of the present embodiment, mentioned above searching results statistical data can also include that search produces
Product mark;And above-mentioned apparatus 500 can also include: the first generation unit 504, be configured to be united with above-mentioned target search result
It counts search product identification included in each search result statistical data in set and generates target search product identification collection
It closes;Second generation unit 505 is configured to search result statistical number each in above-mentioned target search result statistical data set
The second testing conditions set is generated according to the first corresponding testing conditions set;Third determination unit 506, is configured to for upper
Every kind of testing conditions in the second testing conditions set are stated, the following conditions Service Efficiency is executed and determines operation: above-mentioned target is searched
Each search product identification in rope product identification set will search for product mark in above-mentioned target search result statistical data set
The item number for knowing the search result statistical data for the search product identification is determined as the first search result statistical data item number, will be upper
State each search result statistical number for searching for that product identification is the search product identification in target search result statistical data set
According to the sum of the matching score value under this kind of testing conditions be determined as the first matching score value and, and will it is above-mentioned first matching score value with
The resulting ratio of product divided by above-mentioned first search result statistical data item number and above-mentioned first default value is determined as the search
Condition Service Efficiency of the search product under this kind of testing conditions indicated by product identification.
In some optional implementations of the present embodiment, above-mentioned apparatus 500 can also include: the 4th determination unit
507, it is configured to for each search product identification in above-mentioned target search product identification set, according to the search product mark
Know condition Service Efficiency of the indicated search product in above-mentioned second testing conditions set under various testing conditions, determines that this is searched
The integrated condition Service Efficiency of product is searched for indicated by rope product identification.
In some optional implementations of the present embodiment, above-mentioned apparatus 500 can also include: the 5th determination unit
508, it is configured to the search product according to indicated by each search product identification in above-mentioned target search product identification set
Integrated condition Service Efficiency, determine the integrated condition Service Efficiency of above-mentioned target search product identification set.
In some optional implementations of the present embodiment, above-mentioned apparatus 500 can also include: the first display unit
509, it is configured to for each search product identification in above-mentioned target search product identification set, according to default presentation side
Condition of the product indicated by the search product identification in above-mentioned second testing conditions set under various testing conditions is presented in formula
Service Efficiency.
In some optional implementations of the present embodiment, above-mentioned apparatus 500 can also include: the second display unit
510, it is configured to that the search product mark is presented for each search product identification in above-mentioned target search product identification set
Know the integrated condition Service Efficiency of indicated search product.
In some optional implementations of the present embodiment, mentioned above searching results statistical data can also include: to show
Number, above-mentioned object properties type may include at least one of following: title, page address.
It should be noted that it is provided by the embodiments of the present application for generate in the device of information the realization details of each unit and
Technical effect can be with reference to the explanation of other embodiments in the application, and details are not described herein.
Below with reference to Fig. 6, it illustrates the computer systems 600 for the electronic equipment for being suitable for being used to realize the embodiment of the present application
Structural schematic diagram.Electronic equipment shown in Fig. 6 is only an example, function to the embodiment of the present application and should not use model
Shroud carrys out any restrictions.
As shown in fig. 6, computer system 600 includes central processing unit (CPU, Central Processing Unit)
601, it can be according to the program being stored in read-only memory (ROM, Read Only Memory) 602 or from storage section
608 programs being loaded into random access storage device (RAM, Random Access Memory) 603 and execute various appropriate
Movement and processing.In RAM 603, also it is stored with system 600 and operates required various programs and data.CPU 601,ROM
602 and RAM 603 is connected with each other by bus 604.Input/output (I/O, Input/Output) interface 605 is also connected to
Bus 604.
I/O interface 605 is connected to lower component: the importation 606 including keyboard, mouse etc.;It is penetrated including such as cathode
Spool (CRT, Cathode Ray Tube), liquid crystal display (LCD, Liquid Crystal Display) etc. and loudspeaker
Deng output par, c 607;Storage section 608 including hard disk etc.;And including such as LAN (local area network, Local Area
Network) the communications portion 609 of the network interface card of card, modem etc..Communications portion 609 is via such as internet
Network executes communication process.Driver 610 is also connected to I/O interface 605 as needed.Detachable media 611, such as disk,
CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 610, in order to from the calculating read thereon
Machine program is mounted into storage section 608 as needed.
Particularly, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program product comprising be carried on computer-readable medium
On computer program, which includes the program code for method shown in execution flow chart.In such reality
It applies in example, which can be downloaded and installed from network by communications portion 609, and/or from detachable media
611 are mounted.When the computer program is executed by central processing unit (CPU) 601, limited in execution the present processes
Above-mentioned function.It should be noted that computer-readable medium described herein can be computer-readable signal media or
Computer readable storage medium either the two any combination.Computer readable storage medium for example can be --- but
Be not limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.
The more specific example of computer readable storage medium can include but is not limited to: have one or more conducting wires electrical connection,
Portable computer diskette, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only deposit
Reservoir (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory
Part or above-mentioned any appropriate combination.In this application, computer readable storage medium, which can be, any include or stores
The tangible medium of program, the program can be commanded execution system, device or device use or in connection.And
In the application, computer-readable signal media may include in a base band or the data as the propagation of carrier wave a part are believed
Number, wherein carrying computer-readable program code.The data-signal of this propagation can take various forms, including but not
It is limited to electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer
Any computer-readable medium other than readable storage medium storing program for executing, the computer-readable medium can send, propagate or transmit use
In by the use of instruction execution system, device or device or program in connection.Include on computer-readable medium
Program code can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc., Huo Zheshang
Any appropriate combination stated.
The calculating of the operation for executing the application can be write with one or more programming languages or combinations thereof
Machine program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be complete
It executes, partly executed on the user computer on the user computer entirely, being executed as an independent software package, part
Part executes on the remote computer or executes on a remote computer or server completely on the user computer.It is relating to
And in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or extensively
Domain net (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as utilize ISP
To be connected by internet).
Flow chart and block diagram in attached drawing are illustrated according to the system of the various embodiments of the application, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, program segment or code of table, a part of the module, program segment or code include one or more use
The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box
The function of note can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are actually
It can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it to infuse
Meaning, the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart can be with holding
The dedicated hardware based system of functions or operations as defined in row is realized, or can use specialized hardware and computer instruction
Combination realize.
Being described in unit involved in the embodiment of the present application can be realized by way of software, can also be by hard
The mode of part is realized.Described unit also can be set in the processor, for example, can be described as: a kind of processor packet
Include receiving unit, the first determination unit and the second determination unit.Wherein, the title of these units is not constituted under certain conditions
Restriction to the unit itself, for example, receiving unit is also described as " receiving user for search result statistical data collection
Close the unit of the querying condition of input ".
As on the other hand, present invention also provides a kind of computer-readable medium, which be can be
Included in device described in above-described embodiment;It is also possible to individualism, and without in the supplying device.Above-mentioned calculating
Machine readable medium carries one or more program, when said one or multiple programs are executed by the device, so that should
Device: the querying condition that user is directed to the input of search result statistical data set is received, wherein search result statistical data includes
Search term and object factory information, wherein object factory information includes the attribute information of at least one object properties type;It will search
It is determined as target search result statistical number with the matched search result statistical data of querying condition in hitch fruit statistical data set
According to set;For each search result statistical data in target search result statistical data set, following matching score value is executed
Determine operation: the corresponding object category of the various attribute informations according to included by the object factory information of the search result statistical data
Property type, chosen in default testing conditions set at least one testing conditions be determined as it is corresponding with the search result statistical data
The first testing conditions set;For every kind of testing conditions in identified first testing conditions set, examined according to this kind
The corresponding condition detection method of survey condition, determines whether the search result statistical data meets this kind of testing conditions, and response
Meet in determining, set the first default value for matching score value of the search result statistical data under this kind of testing conditions,
It is unsatisfactory in response to determination, matching score value of the search result statistical data under this kind of testing conditions is set smaller than first
Second default value of default value.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that invention scope involved in the application, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from foregoing invention design, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed herein
Can technical characteristic replaced mutually and the technical solution that is formed.
Claims (18)
1. a kind of method for generating information, comprising:
Receive the querying condition that user is directed to the input of search result statistical data set, wherein described search result statistical data
Including search term and object factory information, wherein the object factory information includes the attribute of at least one object properties type
Information;
It will be determined as mesh with the matched search result statistical data of the querying condition in described search result statistical data set
Mark search result statistical data set;
For each search result statistical data in the target search result statistical data set, executes matching score value and determine
Operation, obtains matching score value corresponding with the search result statistical data.
2. according to the method described in claim 1, wherein, the matching score value determines that operation includes:
The corresponding object properties class of the various attribute informations according to included by the object factory information of the search result statistical data
Type chooses at least one testing conditions in default testing conditions set and is determined as corresponding with the search result statistical data the
One testing conditions set;
For every kind of testing conditions in identified first testing conditions set, according to condition corresponding with this kind of testing conditions
Detection method, determines whether the search result statistical data meets this kind of testing conditions, and meets in response to determining, this is searched
Matching score value of the hitch fruit statistical data under this kind of testing conditions is set as the first default value, is unsatisfactory in response to determination,
Matching score value of the search result statistical data under this kind of testing conditions is set smaller than the of first default value
Two default values.
3. according to the method described in claim 2, wherein, described search result statistical data further includes search product identification;With
And
The method also includes:
With search product mark included in search result statistical data each in the target search result statistical data set
Know and generates target search product identification set;
The first testing conditions corresponding to search result statistical data each in the target search result statistical data set
Set generates the second testing conditions set;
For every kind of testing conditions in the second testing conditions set, executes the following conditions Service Efficiency and determine operation: for
Each search product identification in the target search product identification set, will be in the target search result statistical data set
Search product identification is that the item number of the search result statistical data of the search product identification is determined as the first search result statistical number
According to item number, each search that product identification is the search product identification will be searched in the target search result statistical data set
As a result matching score value the sum of of the statistical data under this kind of testing conditions be determined as the first matching score value and, and by described first
Match score value and true divided by the resulting ratio of product of the first search result statistical data item number and first default value
It is set to condition Service Efficiency of the search product under this kind of testing conditions indicated by the search product identification.
4. according to the method described in claim 3, wherein, the method also includes:
For each search product identification in the target search product identification set, according to indicated by the search product identification
Condition Service Efficiency of the search product in the second testing conditions set under various testing conditions, determine the search product mark
Know the integrated condition Service Efficiency of indicated search product.
5. according to the method described in claim 4, wherein, the method also includes:
The synthesis item of product is searched for according to indicated by each search product identification in the target search product identification set
Part Service Efficiency determines the integrated condition Service Efficiency of the target search product identification set.
6. according to the method described in claim 5, wherein, the method also includes:
For each search product identification in the target search product identification set, according to default presentation mode, presenting should
Search for condition Service Efficiency of the product in the second testing conditions set under various testing conditions indicated by product identification.
7. according to the method described in claim 6, wherein, the method also includes:
For each search product identification in the target search product identification set, present indicated by the search product identification
Search product integrated condition Service Efficiency.
8. any method in -7 according to claim 1, wherein described search result statistical data further include: show time
Number, the object properties type include at least one of the following: title, page address.
9. a kind of for generating the device of information, comprising:
Receiving unit is configured to receive the querying condition that user is directed to the input of search result statistical data set, wherein described
Search result statistical data includes search term and object factory information, wherein the object factory information includes at least one right
As the attribute information of attribute type;
First determination unit, be configured to by described search result statistical data set with the matched search of the querying condition
As a result statistical data is determined as target search result statistical data set;
Second determination unit is configured to for each search result statistics in the target search result statistical data set
Data execute following matching score value and determine operation, obtain matching score value corresponding with the search result statistical data.
10. device according to claim 9, wherein the matching score value determines that operation includes:
The corresponding object properties class of the various attribute informations according to included by the object factory information of the search result statistical data
Type chooses at least one testing conditions in default testing conditions set and is determined as corresponding with the search result statistical data the
One testing conditions set;
For every kind of testing conditions in identified first testing conditions set, according to condition corresponding with this kind of testing conditions
Detection method, determines whether the search result statistical data meets this kind of testing conditions, and meets in response to determining, this is searched
Matching score value of the hitch fruit statistical data under this kind of testing conditions is set as the first default value, is unsatisfactory in response to determination,
Matching score value of the search result statistical data under this kind of testing conditions is set smaller than the of first default value
Two default values.
11. device according to claim 10, wherein described search result statistical data further includes search product identification;
And
Described device further include:
First generation unit is configured to search result statistical data each in the target search result statistical data set
In included search product identification generate target search product identification set;
Second generation unit is configured to search result statistical data each in the target search result statistical data set
The first corresponding testing conditions set generates the second testing conditions set;
Third determination unit is configured to execute following item for every kind of testing conditions in the second testing conditions set
Part Service Efficiency determines operation: for each search product identification in the target search product identification set, by the target
The item number that the search result statistical data that product identification is the search product identification is searched in search result statistical data set is true
It is set to the first search result statistical data item number, it is to be somebody's turn to do that product identification will be searched in the target search result statistical data set
It searches for matching score value the sum of of each search result statistical data of product identification under this kind of testing conditions and is determined as first
With score value and, and will the first matching score value and divided by the first search result statistical data item number with described first in advance
If the resulting ratio of the product of numerical value is determined as item of the search product under this kind of testing conditions indicated by the search product identification
Part Service Efficiency.
12. device according to claim 11, wherein described device further include:
4th determination unit is configured to for each search product identification in the target search product identification set, root
According to condition of the search product in the second testing conditions set under various testing conditions indicated by the search product identification
Service Efficiency determines the integrated condition Service Efficiency that product is searched for indicated by the search product identification.
13. device according to claim 12, wherein described device further include:
5th determination unit is configured to signified according to each search product identification in the target search product identification set
The integrated condition Service Efficiency of the search product shown, determines the integrated condition Service Efficiency of the target search product identification set.
14. device according to claim 13, wherein described device further include:
First display unit is configured to press each search product identification in the target search product identification set
According to default presentation mode, the various detections in the second testing conditions set of product indicated by the search product identification are presented
Under the conditions of condition Service Efficiency.
15. device according to claim 14, wherein described device further include:
Second display unit, be configured to be in for each search product identification in the target search product identification set
The integrated condition Service Efficiency of product is now searched for indicated by the search product identification.
16. according to the device any in claim 9-15, wherein described search result statistical data further include: show
Number, the object properties type include at least one of the following: title, page address.
17. a kind of electronic equipment, comprising:
One or more processors;
Storage device is stored thereon with the one or more programs of storage;
When one or more of programs are executed by one or more of processors, so that one or more of processors
Realize such as method described in any one of claims 1-8.
18. a kind of computer-readable medium, is stored thereon with computer program, wherein real when described program is executed by processor
Now such as method described in any one of claims 1-8.
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CN111428022A (en) * | 2020-03-25 | 2020-07-17 | 北京明略软件系统有限公司 | Information retrieval method, device and storage medium |
CN111428022B (en) * | 2020-03-25 | 2023-06-02 | 北京明略软件系统有限公司 | Information retrieval method, device and storage medium |
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