CN107958054A - The public platform method for pushing of custom is browsed based on user - Google Patents
The public platform method for pushing of custom is browsed based on user Download PDFInfo
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- CN107958054A CN107958054A CN201711222979.7A CN201711222979A CN107958054A CN 107958054 A CN107958054 A CN 107958054A CN 201711222979 A CN201711222979 A CN 201711222979A CN 107958054 A CN107958054 A CN 107958054A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/957—Browsing optimisation, e.g. caching or content distillation
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- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
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Abstract
The invention discloses a kind of public platform method for pushing that custom is browsed based on user, comprise the following steps：S10：Obtain historical viewings data of the user to some public platforms；S20：According to the historical viewings data, the data message that user's custom browses is analyzed；S30：According to the data message, public platform is pushed to user.Wherein, historical viewings data are：User is to all historical viewings data of some public platforms, or the historical viewings data for user to the scheduled time slot of some public platforms；Gone out according to historical viewings data analysis and browse preference information, and structure browses model accordingly, further analyzes the data message that user's custom browses, then relevant public number is searched accordingly, and then it is pushed to user.This method is realized browses custom according to user, and the relevant public platform of automatic push, removes user from and investigate the problem of public platform needs plenty of time and experience one by one, meanwhile, the effect for promoting high value public platform/knowledge base development is also acted as, practical value is high.
Description
Technical field
The present invention relates to data analysis field, especially a kind of public platform method for pushing that custom is browsed based on user.
Background technology
With the development that the development of internet, especially big data calculate, the various applications based on internet and big data
Also correspondingly it is born successively.Wherein, greatly it is related to the application of content, such as public platform.
The public platform to become increasingly abundant for content and species, even the public platform under belonging to same subject, what it was issued
Content is also far from each other, and for a user, it is impossible to browse one by one, therefore, how to ensure that user can browse to specific master
Under topic, correlation is high, abundant in content public platform, is one and meets information development demand, is also a problem to be solved.
The content of the invention
The goal of the invention of the present invention is：For above-mentioned problem, there is provided one kind is based on user to its historical viewings
Public platform, automatic push correlation is high, meets it browse custom other public platforms scheme, so as to solve user to public affairs
The covering surface of crowd's content obtaining, and ensure that its public platform browsed is to meet the problem of it browses demand.
The technical solution adopted by the present invention is as follows：
The public platform method for pushing of custom is browsed based on user, is comprised the following steps：
S10：Obtain historical viewings data of the user to some public platforms；
S20：According to the historical viewings data, the data message that user's custom browses is analyzed；
S30：According to the data message, public platform is pushed to user.
Such scheme, by the historical viewings data of user, analyzes it and browses custom, and then browses custom according to it,
Corresponding public platform is pushed for it, so as to fulfill the public platform push of custom is browsed based on user, ensure that the public platform of push
Meet user and browse demand, meanwhile, acquisition modes of the user to public platform are enriched, it is also enriched and obtains the knowledge of public platform
Covering surface.
Preferably, above-mentioned historical viewings data are：User is to all historical viewings data of some public platforms, Huo Zhewei
Historical viewings data of the user to the scheduled time slot of some public platforms.
Preferably, in above-mentioned S10, the attribute information of public platform is browsed and/or to some public platforms by obtaining user
Click volume information and/or duration information is browsed to some public platforms, browse data as user's history.
Further, the attribute information of above-mentioned public platform includes：Developer's information of public platform, the title of public platform letter
It is one or more in the authentication information of breath, the classification information of public platform or public platform.
Further, above-mentioned S20 is specially：
S201：According to the historical viewings data, analyze and browse preference information；
S202：Preference information is browsed according to described, structure browses model；
S203：Model is browsed according to described, analyzes the data message that user's custom browses.
In such scheme, browsing preference information includes：Public platform information, public platform classification information, public platform browse order
Information, public platform browsing time information or public platform browse one or more in black list information.
Preferably, S202 browses model by regression analysis structure.
Above-mentioned S20, by browse preference information structure browse model, this browse model for virtual user to being matched with use
The model that family browses each public platform, with this from objective data, thus it is speculated that go out the user browses custom, is met this
User browses the data message of custom.The data message is the preference information to public platform of prediction.
Further, above-mentioned S30 is specially：
S301：According to the data message, the data that data message includes are ranked up according to particular topic；
S302：In the data message for intercepting the sequence, the data message of forward scheduled volume；
S303：To the relevant public platform of data message of user's push and the interception.
Preferably, above-mentioned S303 is specially：Pair it is ranked up, cuts with the relevant public platform of data message of the interception
The public platform for the forward predetermined quantity that sorts is taken to be pushed to user.
Further, it is to the foundation that relevant public number is ranked up：According to public platform author title, public platform title,
One or more in public platform evaluation information, public platform history click volume, public platform historical viewings flow or public platform authentication information
The combination of item is ranked up to described with the relevant public platform of data message that is intercepting.
Preferably, the particular topic in above-mentioned S301 is：History click volume, historical viewings flow or the history of public platform
Browse duration.
It should be noted that above-mentioned public platform can also be relevant knowledge storehouse.
In conclusion by adopting the above-described technical solution, the beneficial effects of the invention are as follows：
By this method, realize and custom is browsed according to user, in numerous public platforms, filter out and meet that user browses demand
, correlation is high, evaluate it is high, certification authority (CA), the public platform that the scope of one's knowledge is enriched.Further, solve and pass through user
Oneself investigate one by one and lose time caused by numerous public platforms, investigate imperfect, the not congruent problem of the scope of one's knowledge investigation.With this,
This method can meet the needs of big data development and content application development, further, can also promote high value public platform/knowledge
The popularization and development in storehouse, reach the effect of multi-win, and practicality is high.
Brief description of the drawings
Examples of the present invention will be described by way of reference to the accompanying drawings, wherein：
Fig. 1 is the public platform method for pushing flow chart that custom is browsed based on user.
Embodiment
All features disclosed in this specification, or disclosed all methods or during the step of, except mutually exclusive
Feature and/or step beyond, can combine in any way.
This specification（Including any accessory claim, summary）Disclosed in any feature, unless specifically stated,
Replaced by other equivalent or with similar purpose alternative features.I.e., unless specifically stated, each feature is a series of
An example in equivalent or similar characteristics.
As shown in Figure 1, present embodiment discloses a kind of public platform method for pushing that custom is browsed based on user, including it is following
Step：
S10：Obtain historical viewings data of the user to some public platforms；
S20：According to the historical viewings data, the data message that user's custom browses is analyzed；
S30：According to the data message, public platform is pushed to user.
In above-mentioned steps, historical viewings data are：User is to all historical viewings data of some public platforms, or to use
Historical viewings data of the family to the scheduled time slot of some public platforms.As user begin to use the public platform start to be calculated as history it is clear
Look at data, can also concentrate the data browsed in the recent period by user, judge the user in the recent period there is an urgent need for knowledge content so that according to
The stage sex chromosome mosaicism of user, corresponding public platform/knowledge base is pushed for it.
Preferably, in above-mentioned S10, the attribute information of public platform is browsed and/or to some public platforms by obtaining user
Click volume information and/or duration information is browsed to some public platforms, data are browsed as user's history.Above-mentioned public platform
Attribute information include：Developer's information, the name information of public platform, the classification information of public platform or the public platform of public platform
Authentication information in it is one or more.
Such as, nearly one week of user（Scheduled time slot）Concentrate entitled " the intellectual property daily paper " that browses, " Europe tourism strategy "
Public platform/knowledge base, by collecting the historical viewings number it has been found that wherein, public platform corresponds respectively to intellectual property and tourism
Classification, two public platforms obtain manager's certification, and the developer of " intellectual property daily paper " be company A, " Europe travel strategy "
Developer be B companies, to browsing time of " intellectual property daily paper " for 24 it is small when, to the browsing time of " Europe tourism strategy "
For 8 it is small when.
Then by the above-mentioned historical data browsed, it is inclined to the preference of public platform/knowledge-based classification, author to analyze user
Good, recent browses the information such as Demand perference, then matches relevant public platform/knowledge base accordingly, is pushed as user public
Many numbers/knowledge base.
Further, present embodiment discloses in above-described embodiment, the detailed of each step performs flow：
Above-mentioned S20 is specially：
S201：According to the historical viewings data, analyze and browse preference information；
S202：Preference information is browsed according to described, model is browsed by regression analysis structure；
S203：Model is browsed according to described, analyzes the data message that user's custom browses.
Wherein, browsing preference information includes：Public platform information, public platform classification information, public platform browse order information, public affairs
Crowd's browsing time information or public platform browse one or more in black list information.
In embodiment one, user will also browse blacklist to be included in by public platform/knowledge base of manager's certification,
It then will not again push and user be not pushed to by public platform/knowledge base of manager's certification.
Above-mentioned S30 is specially：
S301：According to the data message, the data that data message includes are ranked up according to particular topic；
S302：In the data message for intercepting the sequence, the data message of forward scheduled volume；
S303：To the relevant public platform of data message of user's push and the interception.
Wherein, S303 is specially：Pair it is ranked up with the relevant public platform of data message of the interception, interception sequence is leaned on
The public platform of preceding predetermined quantity is pushed to user.Further, it is to the sort by of public platform：According to public platform authors' name
Title, public platform title, public platform evaluation information, public platform history click volume, public platform historical viewings flow or public platform certification
One or more combinations is ranked up to described with the relevant public platform of data message that is intercepting in information.
In S301, the particular topic is：When the history click volume of public platform, historical viewings flow or historical viewings
It is long.
In embodiment one, by sorting to public platform historical viewings duration to data message, i.e., " intellectual property daily paper "
Sort forward, " Europe tourism strategy " sequence is taken second place, it is also possible to including the minimum public platform of some other browsing time accountings.It is right
This, 5 public platform ranking, obtains corresponding data message before interception sequence.
Further according to the data message intercepted out, find out relevant public platform, such as with the classification in the data message of interception
It is identical, developer is identical（Or other aspects are relevant）Public platform, such as finds entitled " patent daily paper ", " intellectual property
Run daily paper ", " trade mark daily paper ", " France tourism strategy ", " Holland's tourism strategy ", the public such as " visa strategy " and " swimming in Europe "
Number.
Further, to the public platform that finds by evaluation information+public platform certification+public platform title（According to first letter busbar sequence）
It is ranked up.Public platform evaluation such as above-mentioned lookup is followed successively by（Total score 5）：4.8th, 4.9,3.7,4.8,3.2,3.1 and 3.5, its
In, in addition to " Europe trip ", remaining public platform by certification, is then ordered as：" intellectual property operation daily paper ", " France's tourism is attacked
Slightly ", " patent daily paper ", " trade mark daily paper ", " Holland's tourism strategy ", " visa strategy "（" Europe trip " is not counted in sequence）；With this
Sort and push this batch of public platform to user.Further, it can also continue to intercept the public platform of push, such as intercept sequence and examine
Preceding 5, then " stamped signature strategy " and later public platform are not pushed.
The invention is not limited in foregoing embodiment.The present invention, which expands to, any in the present specification to be disclosed
New feature or any new combination, and disclose any new method or process the step of or any new combination.
Claims (10)
1. the public platform method for pushing of custom is browsed based on user, it is characterized in that, comprise the following steps：
S10：Obtain historical viewings data of the user to some public platforms；
S20：According to the historical viewings data, the data message that user's custom browses is analyzed；
S30：According to the data message, public platform is pushed to user.
2. the method as described in claim 1, it is characterized in that, in the S10, the attribute that public platform is browsed by obtaining user is believed
Cease and/or browse duration information to the click volume information of some public platforms and/or to some public platforms, gone through as user
History browses data.
3. the method as described in claim 1, it is characterized in that, the S20 is specially：
S201：According to the historical viewings data, analyze and browse preference information；
S202：Preference information is browsed according to described, structure browses model；
S203：Model is browsed according to described, analyzes the data message that user's custom browses.
4. method as claimed in claim 3, it is characterized in that, the S202 browses model by regression analysis structure.
5. method as claimed in claim 3, it is characterized in that, the preference information that browses includes：Public platform information, public platform point
Category information, public platform browse order information, public platform browsing time information or public platform browse one in black list information or
It is multinomial.
6. the method as described in claim 1, it is characterized in that, the historical viewings data are：Institute of the user to some public platforms
There are historical viewings data, or the historical viewings data for user to the scheduled time slot of some public platforms.
7. the method as described in claim 3-5 is any, it is characterized in that, the S30 is specially：
S301：According to the data message, the data that data message includes are ranked up according to particular topic；
S302：In the data message for intercepting the sequence, the data message of forward scheduled volume；
S303：To the relevant public platform of data message of user's push and the interception.
8. the method for claim 7, it is characterized in that, the S303 is specially：Data message phase pair with the interception
The public platform of pass is ranked up, and the public platform of the forward predetermined quantity of interception sequence is pushed to user.
9. method as claimed in claim 8, it is characterized in that, the sequence pair with the relevant public platform of data message of the interception
Foundation be：According to public platform author title, public platform title, public platform evaluation information, public platform history click volume, public platform
One or more combinations is ranked up the public platform in historical viewings flow or public platform authentication information.
10. method as claimed in claim 8 or 9, it is characterized in that, in the S301, the particular topic is：Public platform is gone through
History click volume, historical viewings flow or historical viewings duration.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711222979.7A CN107958054A (en) | 2017-11-29 | 2017-11-29 | The public platform method for pushing of custom is browsed based on user |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711222979.7A CN107958054A (en) | 2017-11-29 | 2017-11-29 | The public platform method for pushing of custom is browsed based on user |
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| CN107958054A true CN107958054A (en) | 2018-04-24 |
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| CN201711222979.7A Withdrawn CN107958054A (en) | 2017-11-29 | 2017-11-29 | The public platform method for pushing of custom is browsed based on user |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108830634A (en) * | 2018-04-26 | 2018-11-16 | 湖北今古传奇数字新媒体有限公司 | One kind is from media platform user behavior analysis and management method |
| CN109090991A (en) * | 2018-08-08 | 2018-12-28 | 广州航群电子商务有限公司 | A kind of processing technology of carryout |
| CN109710850A (en) * | 2018-12-27 | 2019-05-03 | 杭州启迪万华科技产业发展有限公司 | A kind of public platform information association treating method and apparatus |
| CN109710857A (en) * | 2018-12-27 | 2019-05-03 | 杭州启迪万华科技产业发展有限公司 | A kind of public platform recommended method and device |
| CN112541743A (en) * | 2020-12-22 | 2021-03-23 | 北京百家科技集团有限公司 | Information processing method and device, computer equipment and storage medium |
| CN113992616A (en) * | 2021-10-28 | 2022-01-28 | 中国银行股份有限公司 | Method and device for sending message of WeChat public number |
-
2017
- 2017-11-29 CN CN201711222979.7A patent/CN107958054A/en not_active Withdrawn
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108830634A (en) * | 2018-04-26 | 2018-11-16 | 湖北今古传奇数字新媒体有限公司 | One kind is from media platform user behavior analysis and management method |
| CN109090991A (en) * | 2018-08-08 | 2018-12-28 | 广州航群电子商务有限公司 | A kind of processing technology of carryout |
| CN109710850A (en) * | 2018-12-27 | 2019-05-03 | 杭州启迪万华科技产业发展有限公司 | A kind of public platform information association treating method and apparatus |
| CN109710857A (en) * | 2018-12-27 | 2019-05-03 | 杭州启迪万华科技产业发展有限公司 | A kind of public platform recommended method and device |
| CN112541743A (en) * | 2020-12-22 | 2021-03-23 | 北京百家科技集团有限公司 | Information processing method and device, computer equipment and storage medium |
| CN112541743B (en) * | 2020-12-22 | 2024-01-23 | 北京百家科技集团有限公司 | Information processing method, device, computer equipment and storage medium |
| CN113992616A (en) * | 2021-10-28 | 2022-01-28 | 中国银行股份有限公司 | Method and device for sending message of WeChat public number |
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Application publication date: 20180424 |