CN104572932A - Method and device for determining interest label - Google Patents
Method and device for determining interest label Download PDFInfo
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- CN104572932A CN104572932A CN201410838628.9A CN201410838628A CN104572932A CN 104572932 A CN104572932 A CN 104572932A CN 201410838628 A CN201410838628 A CN 201410838628A CN 104572932 A CN104572932 A CN 104572932A
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- G06F16/90—Details of database functions independent of the retrieved data types
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Abstract
The invention discloses a method for determining an interest label. The method is used for solving the problem of low accuracy in determining the interest label in the prior art. The method includes acquiring a capability label of a user concerning object, wherein the capability label indicates capability that the user concerning object has; determining the interest label of a user according to matching degree between the capability label of the user concerning object and corresponding capability. The invention further discloses a device for determining the interest label.
Description
Technical field
The application relates to Internet technical field, particularly relates to a kind of defining method and device of interest tags.
Background technology
In social network-i i-platform, user obtains interested content by paying close attention to interested object, by the interest of digging user, and can to user's recommendation information.Such as, after discovery user is interested in internet, internet famous person, news etc. can be recommended to it; After discovery user is interested in basketball, the Commdity advertisement of basketball shoes can be recommended to it, realize the point-to-point accurate input of advertisement, expand the commercial value of social media.
First prior art produces a field keywords database, the list be namely made up of the keyword obviously relevant to each field.Then whole blog articles that traverse user is relevant, the blog article of such as delivering, forward, collect and praising, and using the interest tags of word higher for the frequency of occurrences in these blog articles as user, mate with field keywords database.With the Keywords matching in certain field hit more, just mean that user has and has higher interest to this field, thus on this basis, relevant information can be recommended to user.
Such as, in the keywords database of field, there is the keyword in " NBA " this field, comprise the brand etc. of the team of NBA, sportsman, basketball shoes.If repeatedly mention the keywords such as team, sportsman, sneakers in the blog article of user, so by mating blog article and keywords database, the keyword in this field a lot of will be hit, the number of times of hit is more, more can embody the interest of user for NBA, thus can be that it recommends the advertising message about these type of commodity relatively accurately.
In a lot of blog article, in order to express a kind of theme, often utilize the keyword in a lot of field, such as: user sends out blog article to express socioeconomic status, often mention automobile, real estate etc., it is to economy that prior art cannot tell user on earth, automobile or real estate interested.
So, due to user's blog article information and blog article theme inconsistent, prior art can cause can not determining user interest label exactly.
Summary of the invention
The embodiment of the present application provides a kind of defining method of interest tags, for solve due to there will be keyword in user's blog article information and blog article theme inconsistent, and cause the problem can not determining user interest label exactly.
The embodiment of the present application provides a kind of determining device of interest tags, for solve due to there will be keyword in user's blog article information and blog article theme inconsistent, and cause the problem can not determining user interest label exactly.
The embodiment of the present application adopts following technical proposals:
A defining method for interest tags, comprising: the ability label obtaining user's perpetual object, and described ability label represents the ability that user's perpetual object possesses; According to the ability label of user's perpetual object and the matching degree of respective capabilities, determine the interest tags of user.
A determining device for interest tags, comprising: obtain tag unit, for obtaining the ability label of user's perpetual object, described ability label represents the ability that user's perpetual object possesses; Determine tag unit, for according to the ability label of user's perpetual object and the matching degree of respective capabilities, determine the interest tags of user.
At least one technical scheme above-mentioned that the embodiment of the present application adopts can reach following beneficial effect:
Owing to have employed the ability label by obtaining user's perpetual object, and according to ability label, determine the method for the interest tags of user, therefore, the interest of user just can be determined, without the need to determining the interest of user according to the keyword in the blog article information of user according to the concern behavior of user.Thus solve due to there will be keyword in user's blog article information and blog article theme inconsistent, and cause the problem can not determining user interest label exactly.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide further understanding of the present application, and form a application's part, the schematic description and description of the application, for explaining the application, does not form the improper restriction to the application.In the accompanying drawings:
The specific implementation schematic flow sheet of the defining method of a kind of interest tags that Fig. 1 provides for the embodiment of the present application;
The concrete structure schematic diagram of the determining device of a kind of interest tags that Fig. 2 provides for the embodiment of the present application;
The schematic diagram of the defining method of a kind of interest tags that Fig. 3 provides for the embodiment of the present application.
Embodiment
For making the object of the application, technical scheme and advantage clearly, below in conjunction with the application's specific embodiment and corresponding accompanying drawing, technical scheme is clearly and completely described.Obviously, described embodiment is only some embodiments of the present application, instead of whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not making the every other embodiment obtained under creative work prerequisite, all belong to the scope of the application's protection.
Below in conjunction with accompanying drawing, describe the technical scheme that each embodiment of the application provides in detail.
The embodiment of the present application provides a kind of defining method of interest tags, for solve due to there will be keyword in user's blog article information and blog article theme inconsistent, and cause the problem can not determining user interest label exactly.The realization flow schematic diagram of the method as shown in Figure 1, comprises the steps:
Step 11, obtain the ability label of user's perpetual object, described ability label represents the ability that user's perpetual object possesses.
For microblogging, user's perpetual object mentioned here can comprise other users that user pays close attention to.
Step 12, according to the ability label of user's perpetual object and the matching degree of respective capabilities, determines the interest tags of user.
Adopt the method that the present embodiment provides, owing to have employed the ability label by obtaining user's perpetual object, and according to ability label, determine the method for the interest tags of user, thus solve due to there will be keyword in user's blog article information and blog article theme inconsistent, and cause the problem can not determining user interest label exactly.Adopt the method also can solve because field keywords database is not comprehensive in prior art, and cause the problem can not determining user interest label all sidedly; Situation about seldom even not having owing to there will be user's blog article information can also be solved, and cause the problem that is difficult to determine user interest label.
Below step 11 is introduced respectively in detail to step 13:
For step 11, ability label is a kind of information for representing the ability that user's perpetual object possesses." ability " mentioned here, what can be, but not limited to comprise in sociability (as human communication, ceremony), industry professional ability (as the ability that metal working * * level, piano * * level, Chinese chess * * level etc. reflect), economic capability (industry such as Pan Shiqi, Lei Jun leader), learning ability (olympic math, TOEFL English) etc. is one or more.
Quantification numerically can be done to embody the power of this ability to a certain item ability of user.
For step 12, following three kinds of modes can be had to determine the interest tags of user.
First kind of way: the weighted value corresponding according to the ability label of user's perpetual object, from the ability label got, weight selection value is greater than the ability label of the capacity threshold of setting; Be greater than the ability label of the capacity threshold of setting according to the weighted value selected, determine the interest tags of user.
Wherein, the weighted value that ability label is corresponding is assigned to according to user's perpetual object to determine using this ability label as the number of times of the grouping of group names.In the embodiment of the present application, suppose that weighted value calculates according to special algorithm according to above-mentioned number of times.Such as, directly user's perpetual object can be assigned to the number of times using certain ability label as the grouping of group names, be defined as the weighted value of this ability label.
Furthermore, the ability label of weighted value lower than the capacity threshold of setting can be filtered out.The ability that perpetual object is more weak thought by this part ability label, for determining that the interest tags of user has little significance.After filtering, namely remaining ability label can be used as the interest tags of user.
The perpetual object paid close attention to due to user often possesses multi abilities, but often perpetual object compares the ability of being good at and is only that user needs most.Compare the ability of being good to reach outstanding perpetual object, thus precisely determine the interest tags of user, the second way can be adopted to determine the interest tags of user.
The second way: the ability label being greater than the capacity threshold of setting for each weighted value selected, performs: the number determining the user's perpetual object possessing this ability label (also claiming current ability label); And the number corresponding according to current ability label, determine that whether current ability label is the interest tags of user.
Such as, can the current ability label of the quantity threshold of setting be greater than, be defined as the interest tags of user.
In one embodiment, can introduce the concept of main ability and attached ability, main ability embodies the ability that perpetual object is the most outstanding, be good at most, and attached ability can be then except main ability, and second is good at or the 3rd the second ability be good at or the 3rd ability.Can think, from all concern behaviors of user, what mainly can show is interest to the main ability of perpetual object, and secondary what show is interest to the attached ability of perpetual object.As the bean vermicelli paying close attention to paediatrics specialist Cui Yutao, the overwhelming majority is because the accreditation of ability of giving birth to children mother and baby to it, instead of most people approves its ability in health care.So, main ability label and attached ability label can be determined according to following rule: from perpetual object, the weighted value that selects is greater than the ability label of the capacity threshold of setting, using the main ability label of ability label the highest for weighted value as this perpetual object; The weighted value corresponding according to the main ability label of this perpetual object, weight selection value is greater than the ability label of default attached capacity threshold, as the attached ability label of this perpetual object.Wherein, the ratio value of weighted value × setting that attached capacity threshold mentioned here=main ability is corresponding.
After having carried out the main ability label of perpetual object and attached ability label distinguishing, the number (being called for short main number) of the user's perpetual object possessing main ability label can be determined respectively, and possess the number (being called for short attached number) of user's perpetual object of attached ability label.And then the main ability label corresponding to main number being less than quantity threshold can be filtered out, and be less than the attached ability label corresponding to attached number of quantity threshold, and using the interest tags as user of remaining main ability label and attached ability label after filtering.
Or, also only can filter out the attached ability label corresponding to the attached number being less than quantity threshold, using the interest tags as user of remaining attached ability label and all main ability labels after filtering.
In practical application, also can not do the step of above-mentioned filtration, and using all main ability labels and attached ability label all as the interest tags of user.
Have a lot of information such as embodying user interest from label etc. in microblogging, so can consider the information of the embodiment user interest utilizing user oneself to edit, the number corresponding to current ability label adjusts, to promote the accuracy determining interest tags.Because the liveness of different user in microblogging is different, some users have a lot of perpetual object, some users are then few, and the reference value calculated in view of the situation may lack comparability, in order to reach the effect of the embodiment degree of user interest of relative straightforward.On the basis of the second way, can realize further by the third mode.
Specifically, the core concept of the third mode is: the information of the embodiment user interest utilizing user oneself to edit, and the number corresponding to current ability label adjusts, and is adjusted value, to promote the accuracy determining interest tags.Again adjusted value is normalized, reaches the effect of the embodiment degree of user interest of relative straightforward.Below the third mode is introduced in detail.
The third mode: according to the information representing user interest, the number corresponding to current ability label adjusts, and obtains the adjusted value that current ability label is corresponding; The adjusted value corresponding to current ability label is normalized, and obtains the adjusted value after normalized; According to the adjusted value after the normalized that current ability label is corresponding, determine that whether current ability label is the interest tags of user.
Furthermore, represent that the information of user interest can comprise: the group names that user oneself adds, from the information of the reflection user interests such as label information.Can according to these information in the second way, the number that the current ability label obtained is corresponding adjusts.As: when group names and current ability tag match, the number of the correspondence of this ability label is given to the addition of numerical value, obtain the adjusted value that current ability label is corresponding, again this adjusted value is normalized, obtain the adjusted value after normalized, for the method for normalized, can calculate according to the following equation:
Wherein, s is the adjusted value after normalization; C is for treating normalized single adjusted value; A is the summation treating normalized all adjusted values.Wherein, mentioned herely treating normalized reference value, comprising without the need to carrying out the number adjusted, and the adjusted value after adjustment.
According to the adjusted value after the normalized that current ability label is corresponding, determine that whether current ability label is the interest tags of user.Specifically, can judge whether the adjusted value after the normalized that current ability label is corresponding is greater than the adjusted value threshold value of setting, and when judged result is for being, determine that current ability label is the interest tags of user.
It should be noted that, the executive agent of each step of the embodiment of the present application institute supplying method can be all same equipment, or, the method also by distinct device as executive agent.Such as, the executive agent of step 11 and step 12 can be equipment 1; Again such as, the executive agent of step 11 can be equipment 1, and the executive agent of step 12 and step 13 can be equipment 2; Etc..
The embodiment of the present application also provides a kind of determining device of interest tags, for solve due to there will be keyword in user's blog article information and blog article theme inconsistent, and cause determining user interest label problem exactly.The concrete structure schematic diagram of this device as shown in Figure 2, comprises following functional unit:
Obtain tag unit 21, may be used for the ability label obtaining user's perpetual object, described ability label represents the ability that user's perpetual object possesses;
Determine tag unit 22, may be used for the matching degree ability label of ability label according to user's perpetual object and respective capabilities, determine the interest tags of user.
In one embodiment, determine tag unit 22, may be used for: the weighted value corresponding according to the ability label of user's perpetual object, from the ability label got, weight selection value is greater than the ability label of the capacity threshold of setting; Wherein, the weighted value that ability label is corresponding is assigned to according to described user's perpetual object to determine using this ability label as the number of times of the grouping of group names; Be greater than the ability label of the capacity threshold of setting according to the weighted value selected, determine the interest tags of user.
In one embodiment, determine tag unit 22, may be used for: the ability label being greater than the capacity threshold of setting for each weighted value selected, determine the number of the user's perpetual object possessing current ability label; And the number corresponding according to current ability label, determine that whether current ability label is the interest tags of user.
In one embodiment, determine tag unit 22, can also be used for: according to the information representing user interest, the number corresponding to described current ability label adjusts, and obtains the adjusted value that current ability label is corresponding; The adjusted value corresponding to current ability label is normalized, and obtains the adjusted value after normalized; According to the adjusted value after the normalized that current ability label is corresponding, determine that whether current ability label is the interest tags of user.
In one embodiment, determine tag unit 22, can also be used for: judge whether the adjusted value after the normalized that current ability label is corresponding is greater than the adjusted value threshold value of setting, and when judged result is for being, determine that current ability label is the interest tags of user.
The embodiment of the present application also provides a kind of defining method of interest tags, for solving the problem that prior art can cause determining that interest tags accuracy is lower.
In specific scene, such as, the interest tags of user " leisurely and carefree " be determined; Wherein one of them perpetual object of paying close attention to for user " leisurely and carefree " of user " XXX ".
Step 31, obtains the ability label of user perpetual object, comprises had the ability label and weighted value corresponding to ability label thereof, as shown in following table 1, and the ability label of user XXX and the weighted value of correspondence thereof.
table 1
Step 32, as shown in table 2 below, the ability label obtained according to step 31 and the weighted value of correspondence thereof, determine that the main ability of user XXX is internet, the ability label of exceed main ability score value 50% is defined as attached ability by setting, and calculate, user XXX does not have attached ability.
Table 2
Step 33, for each main ability label and attached ability label, determines the number of the perpetual object possessing main ability label and attached ability label.As shown in table 3 below, be all numbers possessing the perpetual object of main ability label and attached ability label of user " leisurely and carefree ".
Table 3
Step 34, according to user " leisurely and carefree " from bookmark name and group names, the number of current ability label is adjusted, then the number of the ability label mated with from bookmark name and group names is given to the numerical value addition of 50%, obtain the reference value after following table 4 adjustment.
Table 4
Step 35, the adjusted value of user " leisurely and carefree " is normalized according to previously described formula, obtain the adjusted value after normalized as shown in table 5 below, setting normalized threshold is 80, numerical value after the normalization of user " leisurely and carefree " all higher than 80, then determines that had the ability label is all the interest tags of this user.
Table 5
Those skilled in the art should understand, embodiments of the invention can be provided as device, system or computer program commodity.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program commodity implemented of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the process flow diagram of the device of the embodiment of the present invention, equipment (system) and computer program commodity and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or square frame.These computer program instructions can being provided to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computing machine or other programmable data processing device produce device for realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be loaded in computing machine or other programmable data processing device, make on computing machine or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computing machine or other programmable devices is provided for the step realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
In one typically configuration, computing equipment comprises one or more processor (CPU), input/output interface, network interface and internal memory.
Internal memory may comprise the volatile memory in computer-readable medium, and the forms such as random access memory (RAM) and/or Nonvolatile memory, as ROM (read-only memory) (ROM) or flash memory (flash RAM).Internal memory is the example of computer-readable medium.
Computer-readable medium comprises permanent and impermanency, removable and non-removable media can be stored to realize information by any device or technology.Information can be computer-readable instruction, data structure, the module of program or other data.The example of the storage medium of computing machine comprises, but be not limited to phase transition internal memory (PRAM), static RAM (SRAM), dynamic RAM (DRAM), the random access memory (RAM) of other types, ROM (read-only memory) (ROM), Electrically Erasable Read Only Memory (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc ROM (read-only memory) (CD-ROM), digital versatile disc (DVD) or other optical memory, magnetic magnetic tape cassette, tape magnetic rigid disk stores or other magnetic storage apparatus or any other non-transmitting medium, can be used for storing the information can accessed by computing equipment.According to defining herein, computer-readable medium does not comprise temporary computer readable media (transitory media), as data-signal and the carrier wave of modulation.
Also it should be noted that, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, device, commodity or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, device, commodity or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, device, commodity or the equipment comprising described key element and also there is other identical element.
It will be understood by those skilled in the art that the embodiment of the application can be provided as device, system or computer program commodity.Therefore, the application can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the application can adopt in one or more form wherein including the upper computer program commodity implemented of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code.
The foregoing is only the embodiment of the application, be not limited to the application.To those skilled in the art, the application can have various modifications and variations.Any amendment done within all spirit in the application and principle, equivalent replacement, improvement etc., within the right that all should be included in the application.
Claims (10)
1. a defining method for interest tags, is characterized in that, comprising:
Obtain the ability label of user's perpetual object, described ability label represents the ability that user's perpetual object possesses;
According to the ability label of user's perpetual object and the matching degree of respective capabilities, determine the interest tags of user.
2. the method for claim 1, is characterized in that, described according to the ability label of user's perpetual object and the matching degree of respective capabilities, determines the interest tags of user, specifically comprises:
The weighted value corresponding according to the ability label of user's perpetual object, from the ability label got, weight selection value is greater than the ability label of the capacity threshold of setting; Wherein, the weighted value that ability label is corresponding is assigned to according to described user's perpetual object to determine using this ability label as the number of times of the grouping of group names;
Be greater than the ability label of the capacity threshold of setting according to the weighted value selected, determine the interest tags of user.
3. method as claimed in claim 2, it is characterized in that, the weighted value that described basis selects is greater than the ability label of the capacity threshold of setting, determines the interest tags of user, specifically comprises:
Be greater than the ability label of the capacity threshold of setting for each weighted value selected, determine the number of the user's perpetual object possessing current ability label; And
The number corresponding according to current ability label, determines that whether current ability label is the interest tags of user.
4. method as claimed in claim 3, is characterized in that, the described number corresponding according to current ability label, determines that whether current ability label is the interest tags of user, specifically comprises:
According to the information representing user interest, the number corresponding to described current ability label adjusts, and obtains the adjusted value that current ability label is corresponding;
The adjusted value corresponding to current ability label is normalized, and obtains the adjusted value after normalized;
According to the adjusted value after the normalized that current ability label is corresponding, determine that whether current ability label is the interest tags of user.
5. method as claimed in claim 4, is characterized in that, the adjusted value after the described normalized corresponding according to current ability label, determines that whether current ability label is the interest tags of user, specifically comprises:
Judge whether the adjusted value after the normalized that current ability label is corresponding is greater than the adjusted value threshold value of setting, and when judged result is for being, determine that current ability label is the interest tags of user.
6. a determining device for interest tags, is characterized in that, comprising:
Obtain tag unit, for obtaining the ability label of user's perpetual object, described ability label represents the ability that user's perpetual object possesses;
Determine tag unit, for according to the ability label of user's perpetual object and the matching degree of respective capabilities, determine the interest tags of user.
7. device as claimed in claim 6, is characterized in that, determine tag unit, specifically for:
The weighted value corresponding according to the ability label of user's perpetual object, from the ability label got, weight selection value is greater than the ability label of the capacity threshold of setting; Wherein, the weighted value that ability label is corresponding is assigned to according to described user's perpetual object to determine using this ability label as the number of times of the grouping of group names;
Be greater than the ability label of the capacity threshold of setting according to the weighted value selected, determine the interest tags of user.
8. device as claimed in claim 7, is characterized in that, determine tag unit, specifically for:
Be greater than the ability label of the capacity threshold of setting for each weighted value selected, determine the number of the user's perpetual object possessing current ability label; And the number corresponding according to current ability label, determine that whether current ability label is the interest tags of user.
9. device as claimed in claim 8, is characterized in that, determine tag unit, specifically for:
According to the information representing user interest, the number corresponding to described current ability label adjusts, and obtains the adjusted value that current ability label is corresponding;
The adjusted value corresponding to current ability label is normalized, and obtains the adjusted value after normalized;
According to the adjusted value after the normalized that current ability label is corresponding, determine that whether current ability label is the interest tags of user.
10. device as claimed in claim 9, is characterized in that, determine tag unit, specifically for:
Judge whether the adjusted value after the normalized that current ability label is corresponding is greater than the adjusted value threshold value of setting, and when judged result is for being, determine that current ability label is the interest tags of user.
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| WO2018027360A1 (en) * | 2016-08-06 | 2018-02-15 | 胡明祥 | Adjusting method during moments information-based advertisement pushing and pushing system |
| WO2018027362A1 (en) * | 2016-08-06 | 2018-02-15 | 胡明祥 | Moments information-based advertisement pushing method and pushing system |
| CN110474944A (en) * | 2018-05-10 | 2019-11-19 | 腾讯科技（深圳）有限公司 | Processing method, device and the storage medium of the network information |
| CN111064657A (en) * | 2019-12-30 | 2020-04-24 | 广州酷狗计算机科技有限公司 | Method, device and system for grouping concerned accounts |
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