CN108933819A - A kind of information-pushing method based on block chain - Google Patents
A kind of information-pushing method based on block chain Download PDFInfo
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- CN108933819A CN108933819A CN201810666970.3A CN201810666970A CN108933819A CN 108933819 A CN108933819 A CN 108933819A CN 201810666970 A CN201810666970 A CN 201810666970A CN 108933819 A CN108933819 A CN 108933819A
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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
-
- 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
- H04L67/56—Provisioning of proxy services
- H04L67/565—Conversion or adaptation of application format or content
- H04L67/5651—Reducing the amount or size of exchanged application data
Abstract
The invention discloses a kind of information-pushing methods based on block chain, specific step is as follows: step 1, it determines using keyword and subscribes to keyword, the prediction of Monte Carlo tree is carried out according to using keyword and subscribing to keyword, obtain the first Monte Carlo tree predictive information and the second Monte Carlo tree predictive information, the Monte Carlo tree of predictive information is modified and generated to the first Monte Carlo tree predictive information using the second Monte Carlo tree predictive information, using the trunk of Monte Carlo tree as the alternative block chain of distributed node；Pushed information boil down to data block is established the mapping relations of compressed data and alternative block chain by step 2；Step 3 selects compressed data associated with alternative block chain in compressed data, the corresponding compressed data of main block chain is sent to user.Block chain technology is used for information push field by the present invention, avoids the leakage of user privacy information, main block chain is determined from multiple alternative block chains, improve the formation speed of block chain.
Description
Technical field
The present invention relates to information to push field, specifically a kind of information-pushing method based on block chain.
Background technique
With the development that science and technology is at full speed, various terminals are constantly enriched and facilitate popular life.Due to using eventually
End processing information has the advantages such as convenient and efficient, saving resource, so that terminal becomes indispensable in the life or work of user
A part.Wherein, since terminal can install various applications, it is installed in order to facilitate downloading of the user to application, it is all kinds of
Application market client (such as: application shop, using treasured, mobile phone assistant etc.) application and give birth to.In the prior art, in order to allow
User is better understood by newest application message, event promotion information etc., and server corresponding to application market can use information
Push technology provides Push Service, and information advancing technique can be the various useful informations of user's push by electronic equipment, thus
It carries out advertisement promotion and notice and the service such as is sent to.
Block chain is a kind of chained record knot for being sequentially in time combined into data block in such a way that sequence is connected
Structure, and the distributed accounting system that can not be distorted He can not forge guaranteed in a manner of cryptography, are generally understood as one point
The account book of cloth, it is substantially also a distributed computing and storage system.Block chain has multiple nodes, and different nodes is logical
It crosses certain computation rule to reach common understanding, and the transaction implementing result after common recognition is stored in the form of block to database
In, multiple blocks constitute block chain, can be mutually backups to block between multiple nodes, and block chain technology is widely used in demonstrate,proving
The various fields such as certificate transaction, e-commerce, intelligent contract, Internet of Things, social communication and file storage, but block chain is being believed
Ceasing push field, there has been no applications.
Summary of the invention
The purpose of the present invention is to provide a kind of information-pushing methods based on block chain, to solve in above-mentioned background technique
The problem of proposition.
To achieve the above object, the invention provides the following technical scheme:
A kind of information-pushing method based on block chain, the specific steps are as follows:
Step 1 obtains the identity information of user when monitoring user access network, thus obtain user subscription information and
It usage behavior information and stores in the database, is used when collecting in usage behavior information same user on each terminal
Using keyword, the webpage subscription of user is determined according to subscription information, is established to subscribe to according to the label information in webpage subscription and be closed
Key word carries out the prediction of Monte Carlo tree using keyword according to user, obtains the first Monte Carlo tree predictive information, according to
The subscription keyword at family carries out carrying out the prediction of Monte Carlo tree, obtains the second Monte Carlo tree predictive information, covers using second special
Carlow tree predictive information is modified the first Monte Carlo tree predictive information, is predicted using revised first Monte Carlo tree
Information generates the Monte Carlo tree of predictive information, using the trunk of Monte Carlo tree as the alternative block chain of distributed node；
Step 2 determines available push information present in server, is a data block by available push Information Compression, by data
Block is transferred to data-storage system, calculates data block cryptographic Hash according to data block, generates compressed data according to data block cryptographic Hash,
Establish the mapping relations of compressed data and alternative block chain；
Step 3, according to corresponding to the associated compressed data of alternative block chain and determination in mapping relations selection compressed data
Alternative block chain as main block chain, the corresponding compressed data of main block chain is sent to user.
As a further solution of the present invention: according to the data transfer record between user and other users, extracting user
Transmission keyword, according to the transmission keyword of user carry out carry out Monte Carlo tree prediction, obtain third Monte Carlo tree in advance
Measurement information repairs revised first Monte Carlo tree predictive information using third Monte Carlo tree predictive information again
Just.
As a further solution of the present invention: data transfer record includes the note that user forwards the release information of other users
Record and the user of the release information of other users are quoted in record, the record of release information of user comment other users, user
With the chained record of other users.
As a further solution of the present invention: using keyword and subscribing to classification and letter that keyword includes the information content
Cease label.
As a further solution of the present invention: further include in step 1 to use keyword and subscribe to keyword carry out data
Filtering, server preset erroneous judgement information characteristics library, and erroneous judgement information characteristics are believed from the erroneous judgement for being mistaken for suspicious information
It is being extracted in breath and do not include sensitive participle, keyword will be used and subscribe to keyword respectively with judge information characteristics by accident and compare,
Comprising the erroneous judgement information characteristics that extract from different types of erroneous judgement information in erroneous judgement information characteristics library, let pass judge with
The information that erroneous judgement information characteristics match.
As a further solution of the present invention: further including being screened to alternative block chain in step 1, to Arbitrary distribution
Formula node receives the alternative block chain of other distributed nodes transmission and is compared, and judges the distribution according to comparison result
Whether node meets preset requirement, if then retaining the distributed node, if otherwise deleting the distributed node.
As a further solution of the present invention: usage behavior information includes the use in the geographical location, user where user
The operation duration of period and user access network obtain user's in the frequency that multiple regions occur according to user geographical location
Resident area, when judging that user enters new region from resident area, server is believed according to subscription of the user in resident area
Breath and usage behavior information push the corresponding information in new region to user.
Compared with prior art, the beneficial effects of the present invention are: block chain technology is used for information by method of the invention pushes away
Field is sent, collects and analyzes without the identity information to user, the information security of block chain technology is good, further avoids
The leakage of user privacy information, while main block chain is determined from multiple alternative block chains, the formation speed of block chain is improved,
Pushed information is subjected to compression transmission, reduces information traffic volume, improves information pushing speed.
Specific embodiment
The technical solution of the patent is explained in further detail With reference to embodiment.
Embodiment 1
A kind of information-pushing method based on block chain, the specific steps are as follows:
Step 1 obtains the identity information of user when monitoring user access network, thus obtain user subscription information and
It usage behavior information and stores in the database, is used when collecting in usage behavior information same user on each terminal
Using keyword, the webpage subscription of user is determined according to subscription information, is established to subscribe to according to the label information in webpage subscription and be closed
Key word carries out the prediction of Monte Carlo tree using keyword according to user, obtains the first Monte Carlo tree predictive information, according to
The subscription keyword at family carries out carrying out the prediction of Monte Carlo tree, obtains the second Monte Carlo tree predictive information, covers using second special
Carlow tree predictive information is modified the first Monte Carlo tree predictive information, is passed according to the data between user and other users
Defeated record, extracts the transmission keyword of user, data transfer record include the release information that user forwards other users record,
The record of the release information of user comment other users, user quote the release information of other users record and user and its
The chained record of his user carries out carrying out the prediction of Monte Carlo tree according to the transmission keyword of user, obtains third Monte Carlo
Predictive information is set, revised first Monte Carlo tree predictive information is carried out again using third Monte Carlo tree predictive information
Amendment, the Monte Carlo tree of utilization revised first Monte Carlo tree predictive information generation predictive information again, by Meng Teka
Alternative block chain of the trunk of Luo Shu as distributed node；
Step 2 determines available push information present in server, is a data block by available push Information Compression, by data
Block is transferred to data-storage system, calculates data block cryptographic Hash according to data block, generates compressed data according to data block cryptographic Hash,
Establish the mapping relations of compressed data and alternative block chain；
Step 3, according to corresponding to the associated compressed data of alternative block chain and determination in mapping relations selection compressed data
Alternative block chain as main block chain, the corresponding compressed data of main block chain is sent to user.
Embodiment 2
A kind of information-pushing method based on block chain, the specific steps are as follows:
Step 1 obtains the identity information of user when monitoring user access network, thus obtain user subscription information and
It usage behavior information and stores in the database, is used when collecting in usage behavior information same user on each terminal
Using keyword, the webpage subscription of user is determined according to subscription information, is established to subscribe to according to the label information in webpage subscription and be closed
Key word carries out data filtering to using keyword and subscribing to keyword, and server presets erroneous judgement information characteristics library, erroneous judgement letter
It ceases being characterized in extracting from the erroneous judgement information for being mistaken for suspicious information and does not include sensitive participle, keyword will be used
It compares, judges by accident in information characteristics library comprising from different types of erroneous judgement information with erroneous judgement information characteristics respectively with keyword is subscribed to
The erroneous judgement information characteristics extracted, the information to match with erroneous judgement information characteristics judged of letting pass, are closed according to the use of user
Key word carry out Monte Carlo tree predict, obtain the first Monte Carlo tree predictive information, according to the subscription keyword of user carry out into
The prediction of row Monte Carlo tree, obtains the second Monte Carlo tree predictive information, using the second Monte Carlo tree predictive information to first
Monte Carlo tree predictive information is modified, and the illiteracy of predictive information is generated using revised first Monte Carlo tree predictive information
Special Ka Luoshu screens alternative block chain using the trunk of Monte Carlo tree as the alternative block chain of distributed node, right
Any distributed node receives the alternative block chain of other distributed nodes transmission and is compared, and is judged according to comparison result
Whether the distributed node meets preset requirement, if then retaining the distributed node, if otherwise deleting the distributed node；
Step 2 determines available push information present in server, is a data block by available push Information Compression, by data
Block is transferred to data-storage system, calculates data block cryptographic Hash according to data block, generates compressed data according to data block cryptographic Hash,
Establish the mapping relations of compressed data and alternative block chain；
Step 3, according to corresponding to the associated compressed data of alternative block chain and determination in mapping relations selection compressed data
Alternative block chain as main block chain, the corresponding compressed data of main block chain is sent to user.
Embodiment 3
A kind of information-pushing method based on block chain, the specific steps are as follows:
Step 1 obtains the identity information of user when monitoring user access network, thus obtain user subscription information and
Usage behavior information and store in the database, usage behavior information includes the use in the geographical location, user where user
The operation duration of period and user access network obtain user's in the frequency that multiple regions occur according to user geographical location
Resident area, when judging that user enters new region from resident area, server is believed according to subscription of the user in resident area
Breath and usage behavior information push the corresponding information in new region to user, and same user is each in collection usage behavior information
What is used when in terminal uses keyword, the webpage subscription of user is determined according to subscription information, according to the label in webpage subscription
Information, which is established, subscribes to keyword, includes classification and the information labels of the information content using keyword and subscription keyword, to making
Data filtering is carried out with keyword and subscription keyword, server presets erroneous judgement information characteristics library, and erroneous judgement information characteristics are
It is being extracted from the erroneous judgement information for being mistaken for suspicious information and do not include sensitive participle, keyword will be used and subscribed to and closed
Key word is compared with erroneous judgement information characteristics respectively, and judging by accident in information characteristics library includes to extract from different types of erroneous judgement information
Judge information characteristics by accident, the information to match with erroneous judgement information characteristics judged of letting pass, according to carrying out using keyword for user
The prediction of Monte Carlo tree, obtains the first Monte Carlo tree predictive information, carries out carry out Meng Teka according to the subscription keyword of user
Luo Shu prediction, obtains the second Monte Carlo tree predictive information, using the second Monte Carlo tree predictive information to the first Monte Carlo
Tree predictive information is modified, and according to the data transfer record between user and other users, extracts the transmission keyword of user,
Data transfer record includes the release information of the record for the release information that user forwards other users, user comment other users
Record, user quote the record of the release information of other users and the chained record of user and other users, according to user's
Transmission keyword carries out carrying out the prediction of Monte Carlo tree, obtains third Monte Carlo tree predictive information, utilizes third Monte Carlo
Tree predictive information corrects revised first Monte Carlo tree predictive information again, and utilization revised first is covered again
Special Carlow tree predictive information generates the Monte Carlo tree of predictive information, using the trunk of Monte Carlo tree as the standby of distributed node
Constituency block chain screens alternative block chain, and the candidate area of other distributed nodes transmission is received to any distributed node
It block chain and is compared, judges whether the distributed node meets preset requirement according to comparison result, if then retaining this point
Cloth node, if otherwise deleting the distributed node；
Step 2 determines available push information present in server, is a data block by available push Information Compression, by data
Block is transferred to data-storage system, calculates data block cryptographic Hash according to data block, generates compressed data according to data block cryptographic Hash,
Establish the mapping relations of compressed data and alternative block chain；
Step 3, according to corresponding to the associated compressed data of alternative block chain and determination in mapping relations selection compressed data
Alternative block chain as main block chain, the corresponding compressed data of main block chain is sent to user.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
The other embodiments being understood that.
Claims (7)
1. a kind of information-pushing method based on block chain, which is characterized in that specific step is as follows:
Step 1 obtains the identity information of user when monitoring user access network, thus obtain user subscription information and
It usage behavior information and stores in the database, is used when collecting in usage behavior information same user on each terminal
Using keyword, the webpage subscription of user is determined according to subscription information, is established to subscribe to according to the label information in webpage subscription and be closed
Key word carries out the prediction of Monte Carlo tree using keyword according to user, obtains the first Monte Carlo tree predictive information, according to
The subscription keyword at family carries out carrying out the prediction of Monte Carlo tree, obtains the second Monte Carlo tree predictive information, covers using second special
Carlow tree predictive information is modified the first Monte Carlo tree predictive information, is predicted using revised first Monte Carlo tree
Information generates the Monte Carlo tree of predictive information, using the trunk of Monte Carlo tree as the alternative block chain of distributed node；
Step 2 determines available push information present in server, is a data block by available push Information Compression, by data
Block is transferred to data-storage system, calculates data block cryptographic Hash according to data block, generates compressed data according to data block cryptographic Hash,
Establish the mapping relations of compressed data and alternative block chain；
Step 3, according to corresponding to the associated compressed data of alternative block chain and determination in mapping relations selection compressed data
Alternative block chain as main block chain, the corresponding compressed data of main block chain is sent to user.
2. the information-pushing method according to claim 1 based on block chain, which is characterized in that further include according to user with
Data transfer record between other users extracts the transmission keyword of user, is carried out according to the transmission keyword of user
Monte Carlo tree prediction, obtain third Monte Carlo tree predictive information, using third Monte Carlo tree predictive information to amendment after
The first Monte Carlo tree predictive information corrected again.
3. the information-pushing method according to claim 2 based on block chain, which is characterized in that the data transfer record
Record, the Yong Huyin of the record of the release information of other users, the release information of user comment other users are forwarded including user
With the chained record of the record of the release information of other users and user and other users.
4. the information-pushing method according to claim 1 based on block chain, which is characterized in that it is described using keyword and
Subscribe to classification and the information labels that keyword includes the information content.
5. the information-pushing method according to claim 1 based on block chain, which is characterized in that also wrapped in the step 1
It includes to using keyword and subscribing to keyword progress data filtering, server presets erroneous judgement information characteristics library, judges information by accident
It is being characterized in extracting from the erroneous judgement information for being mistaken for suspicious information and do not include sensitive participle, will use keyword and
It subscribes to keyword to compare with erroneous judgement information characteristics respectively, judge by accident in information characteristics library comprising being mentioned from different types of erroneous judgement information
The erroneous judgement information characteristics of taking-up, the information to match with erroneous judgement information characteristics judged of letting pass.
6. the information-pushing method according to claim 1 based on block chain, which is characterized in that also wrapped in the step 1
Include and alternative block chain screened, to any distributed node receive other distributed nodes transmission alternative block chain and
It is compared, judges whether the distributed node meets preset requirement according to comparison result, if then retaining the distributed node,
If otherwise deleting the distributed node.
7. the information-pushing method according to claim 1 based on block chain, which is characterized in that the usage behavior information
The operation duration of usage time interval and user access network including geographical location, user where user.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110191188A (en) * | 2019-06-02 | 2019-08-30 | 四川虹微技术有限公司 | A kind of data processing method, block chain network and storage medium |
| CN110247974A (en) * | 2019-06-18 | 2019-09-17 | 东莞市盟大塑化科技有限公司 | Information-pushing method, device, computer and storage medium based on block chain |
| CN110266752A (en) * | 2019-05-07 | 2019-09-20 | 深圳壹账通智能科技有限公司 | Block chain information method for pushing, device, computer equipment and storage medium |
| CN110457917A (en) * | 2019-01-09 | 2019-11-15 | 腾讯科技（深圳）有限公司 | Filter out the method and relevant apparatus of the illegal contents in block chain data |
| CN110909146A (en) * | 2019-11-29 | 2020-03-24 | 支付宝(杭州)信息技术有限公司 | Label pushing model training method, device and equipment for pushing question-back labels |
| CN110929086A (en) * | 2019-12-20 | 2020-03-27 | 腾讯科技（深圳）有限公司 | Audio and video recommendation method and device and storage medium |
| CN111182042A (en) * | 2019-12-20 | 2020-05-19 | 周梦洁 | Related information pushing system and method based on block chain |
| US20230069078A1 (en) * | 2019-04-12 | 2023-03-02 | Symbiont.Io, Inc. | Systems, devices, and methods for dlt-based data management platforms and data products |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102103603A (en) * | 2009-12-18 | 2011-06-22 | 百度在线网络技术（北京）有限公司 | User behavior data analysis method and device |
| CN102789465A (en) * | 2011-05-20 | 2012-11-21 | 北京移动点击科技有限公司 | Internet information subscription method and system |
| CN103916436A (en) * | 2013-01-05 | 2014-07-09 | 腾讯科技（深圳）有限公司 | Information pushing method, device, terminal and server |
| CN104636406A (en) * | 2013-11-15 | 2015-05-20 | 华为技术有限公司 | Method and device for pushing information according to user behaviors |
| CN106487642A (en) * | 2015-08-28 | 2017-03-08 | 中兴通讯股份有限公司 | A kind of method and apparatus of pushed information |
| CN106850802A (en) * | 2017-02-04 | 2017-06-13 | 先锋支付有限公司 | A kind of block chain generation method, distributed node and block chain network |
| US20170345079A1 (en) * | 2016-05-31 | 2017-11-30 | Accenture Global Solutions Limited | Network of smart appliances |
| CN107480227A (en) * | 2017-07-28 | 2017-12-15 | 佛山市南方数据科学研究院 | A kind of information-pushing method based on big data |
-
2018
- 2018-06-26 CN CN201810666970.3A patent/CN108933819A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102103603A (en) * | 2009-12-18 | 2011-06-22 | 百度在线网络技术（北京）有限公司 | User behavior data analysis method and device |
| CN102789465A (en) * | 2011-05-20 | 2012-11-21 | 北京移动点击科技有限公司 | Internet information subscription method and system |
| CN103916436A (en) * | 2013-01-05 | 2014-07-09 | 腾讯科技（深圳）有限公司 | Information pushing method, device, terminal and server |
| CN104636406A (en) * | 2013-11-15 | 2015-05-20 | 华为技术有限公司 | Method and device for pushing information according to user behaviors |
| CN106487642A (en) * | 2015-08-28 | 2017-03-08 | 中兴通讯股份有限公司 | A kind of method and apparatus of pushed information |
| US20170345079A1 (en) * | 2016-05-31 | 2017-11-30 | Accenture Global Solutions Limited | Network of smart appliances |
| CN106850802A (en) * | 2017-02-04 | 2017-06-13 | 先锋支付有限公司 | A kind of block chain generation method, distributed node and block chain network |
| CN107480227A (en) * | 2017-07-28 | 2017-12-15 | 佛山市南方数据科学研究院 | A kind of information-pushing method based on big data |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110457917A (en) * | 2019-01-09 | 2019-11-15 | 腾讯科技（深圳）有限公司 | Filter out the method and relevant apparatus of the illegal contents in block chain data |
| CN110457917B (en) * | 2019-01-09 | 2022-12-09 | 腾讯科技（深圳）有限公司 | Method and related device for filtering illegal content in block chain data |
| US11869012B2 (en) * | 2019-04-12 | 2024-01-09 | Lm Funding America, Inc | Systems, devices, and methods for DLT-based data management platforms and data products |
| US20230069078A1 (en) * | 2019-04-12 | 2023-03-02 | Symbiont.Io, Inc. | Systems, devices, and methods for dlt-based data management platforms and data products |
| CN110266752B (en) * | 2019-05-07 | 2021-11-12 | 深圳壹账通智能科技有限公司 | Block chain information pushing method and device, computer equipment and storage medium |
| CN110266752A (en) * | 2019-05-07 | 2019-09-20 | 深圳壹账通智能科技有限公司 | Block chain information method for pushing, device, computer equipment and storage medium |
| CN110191188B (en) * | 2019-06-02 | 2021-09-14 | 四川虹微技术有限公司 | Data processing method, block chain network and storage medium |
| CN110191188A (en) * | 2019-06-02 | 2019-08-30 | 四川虹微技术有限公司 | A kind of data processing method, block chain network and storage medium |
| CN110247974A (en) * | 2019-06-18 | 2019-09-17 | 东莞市盟大塑化科技有限公司 | Information-pushing method, device, computer and storage medium based on block chain |
| CN110909146B (en) * | 2019-11-29 | 2022-09-09 | 支付宝(杭州)信息技术有限公司 | Label pushing model training method, device and equipment for pushing question-back labels |
| CN110909146A (en) * | 2019-11-29 | 2020-03-24 | 支付宝(杭州)信息技术有限公司 | Label pushing model training method, device and equipment for pushing question-back labels |
| CN112395497A (en) * | 2019-12-20 | 2021-02-23 | 周梦洁 | Related information pushing system based on block chain |
| CN112417268A (en) * | 2019-12-20 | 2021-02-26 | 周梦洁 | Block chain-based related information pushing method |
| CN111182042A (en) * | 2019-12-20 | 2020-05-19 | 周梦洁 | Related information pushing system and method based on block chain |
| CN110929086A (en) * | 2019-12-20 | 2020-03-27 | 腾讯科技（深圳）有限公司 | Audio and video recommendation method and device and storage medium |
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