CN107277115A - A kind of content delivery method and device - Google Patents
A kind of content delivery method and device Download PDFInfo
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- CN107277115A CN107277115A CN201710389954.XA CN201710389954A CN107277115A CN 107277115 A CN107277115 A CN 107277115A CN 201710389954 A CN201710389954 A CN 201710389954A CN 107277115 A CN107277115 A CN 107277115A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/535—Tracking the activity of the user
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Abstract
The present invention is applied to data analysis, and there is provided a kind of content delivery method and device with processing technology field.This method includes：The content for obtaining whole users checks historical data, calculate object content and the similarity of the historical content of targeted customer associated, obtain user's scoring of the historical content for the targeted customer that targeted customer couple associates with object content, calculate the time of the act weight that targeted customer checks the historical content of the targeted customer associated with object content, calculate interest-degree of the targeted customer to object content, targeted customer's interest-degree highest preset quantity object content is chosen, targeted customer is pushed to.Compared to prior art, this programme is being obtained during user pushes content, when calculating the interest-degree of user, introduces the time of the act weight of user's history content this parameter, make the statistics of user interest degree more accurate, and then make user's push content of acquisition more accurate.
Description
Technical field
The invention belongs to data analysis and processing technology field, more particularly to a kind of content delivery method and device.
Background technology
With gradually stepped into information epoch, the world today is in the environment of information huge explosion, while being faced with sternness
Problem of information overload.Only in 2011, global metadata amount has just reached 1.8ZB, can be produced for each person every year equivalent to the whole world
More than 200GB data, and this numeral also increasing year by year, according to conservative, it is expected that in the following years, data yield will
Remain annual 50% growth rate.Nowadays, on major electric business, video playback platform, audio playing platform, user
The data of magnanimity are all produced daily, therefore how to effectively utilize the data of user's generation is current Internet enterprises urgent need to resolve
The problem of.Now, personalized commending system just arises at the historic moment as the means of data mining.Commending system refers to internet
Website provides a user Item Information or suggestion, allows user to find oneself potential interest and demand and help user's candidate
Product.
Collaborative filtering (item-based collaborative filtering) algorithm based on article is current industry
Using most proposed algorithms.Either Amazon net, or Netflix, Hulu, YouTube etc., the basis of its proposed algorithm
All it is the algorithm.Its advantage has：1. calculate simple；2. rationale for the recommendation can be concluded according to user's history behavior；3. user behavior
History recommends efficiency higher.When its shortcoming mainly there are 1. number of articles much larger than user, article co-occurrence matrix cost is calculated
It is too big；2. cold start-up problem is serious；3. selected seed article carries out calculating recommendation list, temporal information is not accounted for.
The content of the invention
Technical problem to be solved of the embodiment of the present invention is to provide a kind of content delivery method and device, it is intended to solve
The problem of user interest degree calculates inaccurate in the prior art.
First aspect of the embodiment of the present invention provides a kind of content delivery method, and methods described includes：
The content for obtaining whole users checks historical data, and the content of the user checks that historical data includes the complete of user
Portion's historical content and each historical content check time point that the historical content is the content that user checked；
The content associated with the historical content of targeted customer is defined as object content, the object content is calculated with closing
The similarity of the historical content of the targeted customer of connection, it is described that the acquisition targeted customer couple associates with the object content
User's scoring of the historical content of targeted customer, according to checking time point for each historical content, calculates the targeted customer
Check the time of the act weight of the historical content of the targeted customer associated with the object content；
According to the similarity, user scoring and the time of the act weight, the targeted customer is calculated to described
The interest-degree of object content；
Targeted customer's interest-degree highest preset quantity object content is chosen, the target is pushed to and uses
Family.
Second aspect of the embodiment of the present invention provides a kind of content push device, and described device includes：
Acquisition module, checks historical data, the content of the user checks history number for obtaining the content of whole users
According to checking time point for whole historical contents including user and each historical content, the historical content is that user checked
Content；
Processing module, for the content associated with the historical content of targeted customer to be defined as into object content, calculates institute
Object content and the similarity of the historical content of the targeted customer associated are stated, the targeted customer couple and the target is obtained
User's scoring of the historical content of the targeted customer of relevance, according to checking time point for each historical content, meter
Calculate the time of the act weight that the targeted customer checks the historical content of the targeted customer associated with the object content；
Computing module, for according to the similarity, user scoring and the time of the act weight, calculating the mesh
Mark interest-degree of the user to the object content；
Pushing module, for choosing targeted customer's interest-degree highest preset quantity object content, is pushed
To the targeted customer.
It was found from the embodiments of the present invention, the present invention checks historical data by obtaining the content of whole users, will be with
The associated content of the historical content of targeted customer is defined as object content, calculates going through for object content and the targeted customer that associates
The similarity of history content, obtains user's scoring of the historical content for the targeted customer that targeted customer couple associates with object content, root
According to checking time point for each historical content, calculating targeted customer checks the historical content of the targeted customer associated with object content
Time of the act weight, according to similarity, user's scoring and time of the act weight, calculates interest of the targeted customer to object content
Degree, chooses targeted customer's interest-degree highest preset quantity object content, is pushed to targeted customer, compared to prior art,
This programme, when calculating the interest-degree of user, introduces the behavior of user's history content during user's push content is obtained
This parameter of time weighting, makes the statistics of user interest degree more accurate, and then makes user's push content of acquisition more accurate.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those skilled in the art, without having to pay creative labor, can be with root
Other accompanying drawings are obtained according to these accompanying drawings.
Accompanying drawing 1 is the implementation process schematic diagram for the content delivery method that first embodiment of the invention is provided；
Accompanying drawing 2 is the implementation process schematic diagram for the content delivery method that second embodiment of the invention is provided；
Accompanying drawing 3 is the structural representation for the content push device that third embodiment of the invention is provided；
Accompanying drawing 4 is the structural representation for the content push device that fourth embodiment of the invention is provided；
Accompanying drawing 5 is the user behavior history matrix that second embodiment of the invention is provided；
Accompanying drawing 6 is the schematic diagram that the object content interest-degree that second embodiment of the invention is provided is calculated.
Embodiment
To enable goal of the invention, feature, the advantage of the embodiment of the present invention more obvious and understandable, below in conjunction with
Accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that retouched
The embodiment stated is only a part of embodiment of the invention, and not all embodiments.Based on the embodiment in the present invention, this area
The every other embodiment that technical staff is obtained under the premise of creative work is not made, belongs to the model that the present invention is protected
Enclose.
Refer to accompanying drawing 1, the implementation process signal for the content delivery method that accompanying drawing 1 provides for first embodiment of the invention
Figure, this method can apply in terminal device.As shown in Figure 1, this method is mainly included the following steps that：
S101, the content of the whole users of acquisition check historical data；
Wherein, the content of user checks that historical data includes whole historical contents and when the checking of each historical content of user
Between point.Further, the historical content is the content that user checked, i.e., pass through the end before the user under terminal device records
The content that end equipment was checked.The historical content can be, but not limited to include：Video, audio, news or commodity on network.Look into
The mode seen includes clicking on the link of the historical content.
S102, the content associated with the historical content of targeted customer be defined as to object content, calculate object content with
The similarity of the historical content of the targeted customer of association, obtains the history for the targeted customer that targeted customer couple associates with object content
User's scoring of content, according to checking time point for each historical content, calculates targeted customer and checks the mesh associated with object content
Mark the time of the act weight of the historical content of user；
If there is user had both checked a certain content, and the historical content of targeted customer, then it is assumed that the content is and target
The associated content of the historical content of user, object content is defined as by the content.
When targeted customer scores the historical content no user of targeted customer, it is 1 to give tacit consent to user scoring.
S103, according to similarity, user's scoring and time of the act weight, calculate targeted customer to the interest of object content
Degree；
S104, selection targeted customer's interest-degree highest preset quantity object content, are pushed to targeted customer.
It should be understood that preset quantity herein can as needed be configured, change.
Content delivery method provided in an embodiment of the present invention, historical data is checked by the content for obtaining whole users, will
The content associated with the historical content of targeted customer is defined as object content, calculates object content and the targeted customer's that associates
The similarity of historical content, obtains user's scoring of the historical content for the targeted customer that targeted customer couple associates with object content,
According to checking time point for each historical content, the historical content that targeted customer checks the targeted customer associated with object content is calculated
Time of the act weight, according to similarity, user's scoring and time of the act weight, calculate targeted customer to the interest of object content
Degree, chooses targeted customer's interest-degree highest preset quantity object content, is pushed to targeted customer, compared to prior art,
This programme, when calculating the interest-degree of user, introduces the behavior of user's history content during user's push content is obtained
This parameter of time weighting, makes the statistics of user interest degree more accurate, and then makes user's push content of acquisition more accurate.
Refer to accompanying drawing 2, the implementation process signal for the content delivery method that accompanying drawing 2 provides for second embodiment of the invention
Figure, this method can apply in terminal device.As shown in Figure 2, this method is mainly included the following steps that：
S201, the content of the whole users of acquisition check historical data；
Wherein, the content of user checks that historical data includes whole historical contents and when the checking of each historical content of user
Between point.Further, the historical content is the content that user checked, i.e., pass through the end before the user under terminal device records
The content that end equipment was checked.The historical content can be, but not limited to include：Video, audio, news or commodity on network.Look into
The mode seen includes clicking on the link of the historical content.
S202, the content associated with the historical content of targeted customer be defined as object content；
If there is user had both checked a certain content, and the historical content of targeted customer, then it is assumed that the content is and target
The associated content of the historical content of user, object content is defined as by the content.
S203, historical data checked according to the content of whole users of acquisition, set up user behavior history matrix；
As shown in figure 5, Fig. 5 is the user behavior history matrix that terminal device is set up, wherein A, B, C, D, E are use
Family, a, b, c, d, e are historical content.
S204, according to user behavior history matrix and formulaCalculate object content and associate
The similarity of the historical content of targeted customer；
Wherein wijFor object content and the similarity of the historical content of targeted customer associated, N (i) is to look into whole users
The historical content i of the targeted customer associated with object content number of users is seen, N (j) is to check in target in whole users
Hold j number of users, N (i) ∩ N (j) is while checked i and j number of users.By what is counted in user behavior history matrix
Data bring formula intoIn, calculate object content similar with the historical content of targeted customer that associates
Degree.So that user behavior history matrix is Fig. 5 as an example, it is assumed that object content is a, then
S205, the user for the historical content for obtaining the targeted customer that targeted customer couple associates with object content score；
Wherein, when targeted customer scores the historical content no user of targeted customer, it is 1 to give tacit consent to user scoring.
S206, according to formulaCalculate targeted customer and check going through for the targeted customer associated with object content
The time of the act weight of history content；
δ is the interest attenuation factor, and the interest attenuation factor can be adjusted as needed.tuiChecked for targeted customer u
The logical reach of the newest behavior of historical content i distance objective users of the targeted customer associated with object content, targeted customer is most
New behavior is that targeted customer checks row of the time point away from the nearest content of current point in time is checked in the historical content of targeted customer
For.Targeted customer u checks that i's checks that time point and targeted customer u check the checking between time point of the newest behavior of targeted customer
Targeted customer historical content number it is more when, tuiValue it is bigger, tuiFor nonnegative integer.
S207, according to formulaCalculate interest of the targeted customer to object content
Degree；
PujFor interest-degrees of the targeted customer u to object content j, N (u) is the set of targeted customer u whole historical contents,
S (j, K) is the set in targeted customer u historical content with object content j similarities K historical content of highest, wijFor mesh
Mark content j and targeted customer u historical content i similarity, ruiFor use of the targeted customer u to the historical content i of targeted customer
Family is scored, luiThe historical content i of targeted customer time of the act weight is checked for targeted customer u.
S208, selection targeted customer's interest-degree highest preset quantity object content, are pushed to targeted customer.
It should be understood that preset quantity herein can as needed be configured, change.
By taking Fig. 6 as an example, it is assumed that whole historical contents that targeted customer u is checked by the order of the time of checking from morning to night are distinguished
For：A, B, C, D, now D is the newest behavior of targeted customer, then can make tuD=0, tuC=1, tuB=2, tuA=3.User couple
A, B, C, D scoring are respectively 0.7,0.6,0.5 and 0.8, and interest attenuation factor delta=10 are taken here, K=3 is taken, with A similarities
3 videos of highest are a, b, c, w respectivelyaA=0.9, wbA=0.8, wcA=0.7；Distinguish with 3 videos of B similarities highest
It is d, e, f, wdB=0.7, weB=0.6, wfB=0.5；It is f, g, h, w respectively with 3 videos of C similarities highestfC=0.6,
wgC=0.5, whC=0.4；It is i, j, k, w respectively with 3 videos of D similarities highestiD=0.8, wjD=0.7, wkD=0.6,
Wherein f be both with one in 3 videos of B similarities highest, be again and one in 3 videos of C similarities highest.
User u is P to a interest-degreeua, PuaIt is calculated as follows：
User u is P to f interest-degreeuf, PufIt is calculated as follows：
According to calculating, Pua=0.467, Pub=0.415, Puc=0.363, Pud=0.344, Pue=0.295, Puf=
0.517、Pug=0.226, Puh=0.181, Pui=0.64, Puj=0.56, Puk=0.48.
Obtained interest-degree descending arrangement will be calculated, and takes preceding TopN object content to recommend user.If for example, taken
When Top5 object content recommends user, recommendation list is [i, j, f, k, a].
Content delivery method provided in an embodiment of the present invention, historical data is checked by the content for obtaining whole users, will
The content associated with the historical content of targeted customer is defined as object content, calculates object content and the targeted customer's that associates
The similarity of historical content, obtains user's scoring of the historical content for the targeted customer that targeted customer couple associates with object content,
According to checking time point for each historical content, the historical content that targeted customer checks the targeted customer associated with object content is calculated
Time of the act weight, according to similarity, user's scoring and time of the act weight, calculate targeted customer to the interest of object content
Degree, chooses targeted customer's interest-degree highest preset quantity object content, is pushed to targeted customer, compared to prior art,
This programme, when calculating the interest-degree of user, introduces the behavior of user's history content during user's push content is obtained
This parameter of time weighting, makes the statistics of user interest degree more accurate, and then makes user's push content of acquisition more accurate.
Accompanying drawing 3 is referred to, accompanying drawing 3 is the structural representation for the content push device that third embodiment of the invention is provided, and is
It is easy to explanation, illustrate only the part related to the embodiment of the present invention.The content push device of the example of accompanying drawing 3 can be foregoing
The executive agent for the content delivery method that first embodiment is provided, it can be a work(in terminal device or terminal device
Can module.The content push device of the example of accompanying drawing 3, mainly includes：Acquisition module 301, processing module 302, computing module 303 and
Pushing module 304.Each functional module describes in detail as follows：
Acquisition module 301, checks historical data, the content of user checks historical data for obtaining the content of whole users
Whole historical contents and each historical content including user check time point that historical content is the content that user checked.
Processing module 302, for the content associated with the historical content of targeted customer to be defined as into object content, is calculated
Object content and the similarity of the historical content of targeted customer associated, obtain the target that targeted customer couple associates with object content
User's scoring of the historical content of user, according to checking time point for each historical content, calculate targeted customer check with target
Hold the time of the act weight of the historical content of the targeted customer of association.
Computing module 303, for according to similarity, user's scoring and time of the act weight, calculating targeted customer to target
The interest-degree of content.
Pushing module 304, for choosing targeted customer's interest-degree highest preset quantity object content, is pushed to target
User.
The detailed process of the respective function of above-mentioned each Implement of Function Module, the content for referring to aforementioned first embodiment offer is pushed away
The related content of delivery method, here is omitted.
Content push device provided in an embodiment of the present invention, historical data is checked by the content for obtaining whole users, will
The content associated with the historical content of targeted customer is defined as object content, calculates object content and the targeted customer's that associates
The similarity of historical content, obtains user's scoring of the historical content for the targeted customer that targeted customer couple associates with object content,
According to checking time point for each historical content, the historical content that targeted customer checks the targeted customer associated with object content is calculated
Time of the act weight, according to similarity, user's scoring and time of the act weight, calculate targeted customer to the interest of object content
Degree, chooses targeted customer's interest-degree highest preset quantity object content, is pushed to targeted customer, compared to prior art,
This programme, when calculating the interest-degree of user, introduces the behavior of user's history content during user's push content is obtained
This parameter of time weighting, makes the statistics of user interest degree more accurate, and then makes user's push content of acquisition more accurate.
Accompanying drawing 4 is referred to, accompanying drawing 4 is the structural representation for the content push device that fourth embodiment of the invention is provided, and is
It is easy to explanation, illustrate only the part related to the embodiment of the present invention.The content push device of the example of accompanying drawing 4 can be foregoing
The executive agent for the content delivery method that second embodiment is provided, it can be a work(in terminal device or terminal device
Can module.The content push device of the example of accompanying drawing 4, mainly includes：Acquisition module 401, processing module 402, computing module 403 and
Pushing module 404.Each functional module describes in detail as follows：
Acquisition module 401, checks historical data, the content of user checks historical data for obtaining the content of whole users
Whole historical contents and each historical content including user check time point that historical content is the content that user checked.
Processing module 402, for the content associated with the historical content of targeted customer to be defined as into object content, according to
The content of whole users of acquisition checks historical data, sets up user behavior history matrix.
Processing module 402, is additionally operable to according to user behavior history matrix and formulaCalculate mesh
Mark content and the similarity of the historical content of targeted customer associated, wherein wijFor going through for object content and the targeted customer that associates
The similarity of history content, N (i) is the number of users for checking the historical content i of the targeted customer associated with object content, N (j)
To check object content j number of users, N (i) ∩ N (j) is while checked i and j number of users.
Processing module 402, is additionally operable to obtain the historical content for the targeted customer that targeted customer couple associates with object content
User scores, according to formulaTargeted customer is calculated to check in the history of the targeted customer associated with object content
The time of the act weight of appearance, wherein δ is the interest attenuation factor, tuiCheck that the target associated with object content is used for targeted customer u
The logical reach of the newest behavior of historical content i distance objective users at family, the newest behavior of targeted customer is that targeted customer checks mesh
Behavior of the time point away from the nearest content of current point in time is checked in the historical content for marking user.
Computing module 403, for according to formulaTargeted customer is calculated to mesh
Mark the interest-degree of content, wherein PujFor interest-degrees of the targeted customer u to object content j, N (u) is targeted customer u whole history
With object content j similarities K historical content of highest in the set of content, the historical content that S (j, K) is targeted customer u
Set, wijFor object content j and targeted customer u historical content i similarity, ruiTargeted customer is gone through for targeted customer u
History content i user's scoring, luiThe historical content i of targeted customer time of the act weight is checked for targeted customer u.
Pushing module 404, for choosing targeted customer's interest-degree highest preset quantity object content, is pushed to target
User.
The detailed process of the respective function of above-mentioned each Implement of Function Module, the content for referring to aforementioned second embodiment offer is pushed away
The related content of delivery method, here is omitted.
Content push device provided in an embodiment of the present invention, historical data is checked by the content for obtaining whole users, will
The content associated with the historical content of targeted customer is defined as object content, calculates object content and the targeted customer's that associates
The similarity of historical content, obtains user's scoring of the historical content for the targeted customer that targeted customer couple associates with object content,
According to checking time point for each historical content, the historical content that targeted customer checks the targeted customer associated with object content is calculated
Time of the act weight, according to similarity, user's scoring and time of the act weight, calculate targeted customer to the interest of object content
Degree, chooses targeted customer's interest-degree highest preset quantity object content, is pushed to targeted customer, compared to prior art,
This programme, when calculating the interest-degree of user, introduces the behavior of user's history content during user's push content is obtained
This parameter of time weighting, makes the statistics of user interest degree more accurate, and then makes user's push content of acquisition more accurate.
It should be noted that for foregoing each method embodiment, for simplicity description, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should know, the present invention is not limited by described sequence of movement because
According to the present invention, some steps can use other orders or carry out simultaneously.Secondly, those skilled in the art should also know
Know, embodiment described in this description belongs to preferred embodiment, and involved action and module might not all be this hairs
Necessary to bright.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiments.
It is above description to content delivery method provided by the present invention, device, for those skilled in the art, according to
According to the thought of the embodiment of the present invention, it will change in specific embodiments and applications, to sum up, in this specification
Appearance should not be construed as limiting the invention.
Claims (10)
1. a kind of content delivery method, it is characterised in that methods described includes：
The content for obtaining whole users checks historical data, and the content of the user checks that whole of the historical data including user is gone through
History content and each historical content check time point that the historical content is the content that user checked；
The content associated with the historical content of targeted customer be defined as object content, the object content is calculated and associates
The similarity of the historical content of the targeted customer, obtains the target that the targeted customer couple associates with the object content
User's scoring of the historical content of user, according to checking time point for each historical content, calculates the targeted customer and checks
The time of the act weight of the historical content of the targeted customer associated with the object content；
According to the similarity, user scoring and the time of the act weight, the targeted customer is calculated to the target
The interest-degree of content；
Targeted customer's interest-degree highest preset quantity object content is chosen, the targeted customer is pushed to.
2. content delivery method as claimed in claim 1, it is characterised in that described to be commented according to the similarity, the user
Divide and the time of the act weight, calculate interest-degree of the targeted customer to the object content, including：
According to formulaCalculate interest of the targeted customer to the object content
Degree, wherein PujFor interest-degrees of the targeted customer u to the object content j, N (u) is whole history of the targeted customer u
Gone through in the set of content, the historical content that S (j, K) is the targeted customer u with the object content j similarity highests K
The set of history content, wijFor the object content j and historical content i of targeted customer u similarity, ruiFor the mesh
Mark user u to score to the historical content i of targeted customer user, luiThe targeted customer is checked for the targeted customer u
Historical content i time of the act weight.
3. content delivery method as claimed in claim 2, it is characterised in that the calculating object content and the institute associated
The similarity of the historical content of targeted customer is stated, including：
Historical data is checked according to the content of whole users of acquisition, user behavior history matrix is set up；
According to the user behavior history matrix and formulaCalculate the object content and associate
The similarity of the historical content of the targeted customer, wherein wijFor going through for the object content and the targeted customer that associates
The similarity of history content, N (i) is the user for checking the historical content i of the targeted customer associated with the object content
Quantity, N (j) is the number of users for checking the object content j, and N (i) ∩ N (j) is while checked i and j number of users
Amount.
4. content delivery method as claimed in claim 2, it is characterised in that described according to each historical content when checking
Between point, calculate the time of the act that the targeted customer checks the historical content of the targeted customer associated with the object content
Weight, including：
According to formulaCalculate the targeted customer and check the targeted customer's that is associated with the object content
The time of the act weight of historical content, wherein δ is the interest attenuation factor, tuiFor the targeted customer u check with the target
Hold the logical reach of the newest behavior of historical content i distance objective users of the targeted customer of association, the targeted customer is most
New behavior is that the targeted customer checks and checks that time point is nearest away from current point in time in the historical content of the targeted customer
The behavior of content.
5. the content delivery method as described in any one of claim 2 to 4, it is characterised in that when the targeted customer u is to described
During the historical content i no users scoring of targeted customer, r is setuiValue be 1.
6. a kind of content push device, it is characterised in that described device includes：
Acquisition module, checks historical data, the content of the user checks historical data bag for obtaining the content of whole users
Include whole historical contents of user and checking time point for each historical content, the historical content be user checked it is interior
Hold；
Processing module, for the content associated with the historical content of targeted customer to be defined as into object content, calculates the mesh
The similarity of mark content and the historical content of targeted customer associate, the acquisition targeted customer couple and the object content
User's scoring of the historical content of the targeted customer of association, according to checking time point for each historical content, calculates institute
State the time of the act weight that targeted customer checks the historical content of the targeted customer associated with the object content；
Computing module, for according to the similarity, user scoring and the time of the act weight, calculating the target and using
Interest-degree of the family to the object content；
Pushing module, for choosing targeted customer's interest-degree highest preset quantity object content, is pushed to institute
State targeted customer.
7. content push device as claimed in claim 6, it is characterised in that
The computing module, specifically for according to formulaCalculate the targeted customer
To the interest-degree of the object content, wherein PujFor interest-degrees of the targeted customer u to the object content j, N (u) is institute
State the set of targeted customer u whole historical contents, S (j, K) in the historical content of the targeted customer u with the target
Hold the set of j similarities K historical content of highest, wijFor the object content j and targeted customer u historical content i
Similarity, ruiThe historical content i of targeted customer user is scored for the targeted customer u, luiUsed for the target
Family u checks the historical content i of targeted customer time of the act weight.
8. content push device as claimed in claim 7, it is characterised in that
The processing module, is additionally operable to check historical data according to the content of whole users of acquisition, sets up user behavior history
Matrix；
According to the user behavior history matrix and formulaCalculate the object content and associate
The similarity of the historical content of the targeted customer, wherein wijFor the object content and the history of the targeted customer associated
The similarity of content, N (i) is the number of users for checking the historical content i of the targeted customer associated with the object content
Amount, N (j) is the number of users for checking the object content j, and N (i) ∩ N (j) is while checked i and j number of users.
9. content push device as claimed in claim 7, it is characterised in that
The processing module, is additionally operable to according to formulaThe targeted customer is calculated to check and the object content
The time of the act weight of the historical content of the targeted customer of association, wherein δ is the interest attenuation factor, tuiUsed for the target
Family u checks the logic of the newest behavior of historical content i distance objective users of the targeted customer associated with the object content
Distance, the newest behavior of targeted customer is that the targeted customer checks in the historical content of the targeted customer and checks time point
Behavior away from the nearest content of current point in time.
10. the content push device as described in any one of claim 7 to 9, it is characterised in that when the targeted customer u is to institute
When stating the historical content i no users scoring of targeted customer, r is setuiValue be 1.
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| WO2020037931A1 (en) * | 2018-08-20 | 2020-02-27 | 平安科技（深圳）有限公司 | Item recommendation method and apparatus, computer device and storage medium |
| CN111046229A (en) * | 2018-10-11 | 2020-04-21 | 广东阿里影业云智软件有限公司 | Information pushing method and server side equipment |
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| CN111949860A (en) * | 2019-05-15 | 2020-11-17 | 北京字节跳动网络技术有限公司 | Method and apparatus for generating a relevance determination model |
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| WO2018218403A1 (en) * | 2017-05-27 | 2018-12-06 | 深圳大学 | Content pushing method and device |
| WO2020037931A1 (en) * | 2018-08-20 | 2020-02-27 | 平安科技（深圳）有限公司 | Item recommendation method and apparatus, computer device and storage medium |
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| CN111062734A (en) * | 2018-10-16 | 2020-04-24 | 北京字节跳动网络技术有限公司 | Method and device for reordering release information, electronic equipment and readable medium |
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| CN111949860B (en) * | 2019-05-15 | 2022-02-08 | 北京字节跳动网络技术有限公司 | Method and apparatus for generating a relevance determination model |
| WO2020257993A1 (en) * | 2019-06-24 | 2020-12-30 | 深圳市欢太科技有限公司 | Content pushing method and apparatus, server, and storage medium |
| WO2021047119A1 (en) * | 2019-09-12 | 2021-03-18 | 广东浪潮大数据研究有限公司 | Information pushing method and system, electronic device and storage medium |
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