CN112528155A - Data processing and pushing method, device and medium based on scientific and technological achievement conversion - Google Patents
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Abstract
The invention relates to the technical field of data processing, and particularly discloses a data processing and pushing method based on scientific and technological achievement conversion, which comprises the steps of receiving a user login request and verifying the user login request; when the verification is passed, generating a user tag set corresponding to the user identification; and calling data matched with the second user tag set, sorting the data matched with the second user tag set by using a preset sorting rule, taking a sorting result as target data, and displaying the target data to the user through a preset display area of the client. The method and the device can calculate the user tag set of the user in real time and push the target data corresponding to the finger, and improve the accuracy of data processing and pushing based on scientific and technological achievement conversion.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data processing pushing method, a data processing pushing device and a data processing pushing medium based on scientific and technological achievement conversion.
Background
The statements herein merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The scientific and technological achievement transformation is an operation system which needs systematicness to pursue the correlation among all elements to improve the big data docking matching efficiency and realize large-scale successful docking transformation cooperation. The development of the existing scientific and technological achievement transformation work also depends on the individual resource integration type docking promotion of practitioners. The data on the current scientific and technological achievement conversion platform cannot be achieved based on the manual tools of the operation scenes such as daily communication and butt joint of practitioners, the most convenient resource data deposition, standardization, intelligent matching, accurate pushing, timely response and whole-course butt joint recording can be achieved to the maximum extent, intelligent cooperative operation among various innovation group objects can not be achieved, and the scientific and technological achievement conversion work can be promoted efficiently on a large scale.
With the great increase of the information amount on the network caused by the rapid development of the network, it becomes quite difficult for users on the scientific and technological achievement transformation platform to acquire the required information when facing a large amount of information. The user label, as an important link in the era of "internet +", is a brief, refined, generalized and refined recommendation of information, products and the like which are interested by a user according to the information demand, interest and hobbies, use habits and the like of the user, so that corresponding personalized information can be more conveniently recommended to the user. The recommendation system analyzes the interest preference of the user through the historical browsing data of the user and calculates the interest points of the user, so that the information which is interested by the user can be extracted from a large amount of internet information.
In the prior art, research in the field is still in a starting stage, various related technologies are not mature enough, and deviation often occurs when a user of a scientific and technological achievement conversion platform pushes data messages, so that the user experience is not high, and how to perform data processing to improve the data pushing accuracy becomes an urgent problem to be solved.
Disclosure of Invention
The first purpose of the present invention is to provide a data processing and pushing method based on scientific and technological achievement transformation, which solves the problem of how to improve the accuracy of data processing and pushing based on scientific and technological achievement transformation.
In order to achieve the above object, the data processing and pushing method based on scientific and technological achievement transformation provided by the invention comprises the following steps:
receiving a login request which is sent by a user through a client and carries user authentication information, and verifying the user authentication information;
when the user authentication information passes verification, acquiring a user identifier in the user authentication information, acquiring mapping data of a predetermined user identifier and a user tag set from a preset storage path, determining a first user tag set corresponding to the user identifier, when the first user tag set does not meet a preset condition, acquiring first preset type data of the user based on the user identifier, analyzing the first preset type data of the user based on a preset tag generation algorithm, and generating a second user tag set corresponding to the user identifier; or when the first user tag set meets a preset condition, directly taking the first user tag set as a second user tag set; and
and calling data matched with the second user tag set from a preset storage path, sequencing the data matched with the second user tag set by using a preset sequencing rule, taking a sequencing result as target data, and displaying the target data to the user through a preset display area of the client, wherein the target data comprises data information in the one or more data management systems.
Further, the second user tag set includes a technical category tag, the retrieving data matched with the second user tag set from a preset storage path, and sorting the data matched with the second user tag set by using a preset sorting rule includes:
acquiring the technical category label of the user, matching the technical category label with the technical category labels corresponding to the data information in the one or more data management systems, and screening one or more pieces of first data information matched with the technical category label of the user from the data information in the one or more data management systems;
acquiring second preset type data of the one or more pieces of first data information, determining each preset scoring factor data based on the second preset type data, and calculating the score of the one or more pieces of first data information; and
sorting the one or more pieces of first data information in the order of scores from high to low;
wherein, the calculation formula of the score is as follows:
S=∑si*ri
wherein i represents the ith scoring factor, si represents the ith scoring factor data, and ri represents the weight corresponding to the ith scoring factor.
Further, the method further comprises:
receiving text information input and stored by the user, performing semantic analysis on the text information and extracting keywords;
determining a technical type label corresponding to the text information based on the mapping relation between the keywords and the label; and
and updating and saving the user tag set based on the technical type tag corresponding to the text information.
Further, the second set of user tags further includes a user type tag, the method further comprising:
acquiring historical user behavior data of the user at preset time intervals, and calling a target contribution value calculation rule corresponding to the second user label type, wherein the user type label comprises: personal and institutional users; when the user is a personal user, calling a personal user contribution value calculation rule as a target calculation rule; when the user is a mechanism user, calling a mechanism user contribution value calculation rule as a target calculation rule; and
and calculating the contribution value of the user based on the historical user behavior data of the user and the target contribution value calculation rule, and updating and storing the total contribution value of the user into the block link point.
Further, the second user tag set further includes a user level tag, and the data processing and pushing method based on scientific and technological achievement conversion further includes:
and acquiring the total contribution value of the user, determining the grade of the user according to the mapping relation between the total contribution value and the grade, and updating and storing the user grade label of the user.
The second objective of the present invention is to provide a data processing and pushing device based on scientific and technological achievement transformation, the device includes:
the receiving module is used for receiving a login request which is sent by a user through a client and carries user authentication information, and verifying the user authentication information;
the tag set generation module is used for acquiring a user identifier in the user authentication information when the user authentication information passes verification, acquiring mapping data of a predetermined user identifier and a user tag set from a preset storage path, determining a first user tag set corresponding to the user identifier, acquiring first preset type data of the user based on the user identifier when the first user tag set does not meet preset conditions, analyzing the first preset type data of the user based on a preset tag generation algorithm, and generating a second user tag set corresponding to the user identifier; or when the first user tag set meets a preset condition, directly taking the first user tag set as a second user tag set; and
and the processing and pushing module is used for calling data matched with the second user tag set from a preset storage path, sequencing the data matched with the second user tag set by using a preset sequencing rule, taking a sequencing result as target data, and displaying the target data to the user through a preset display area of the client, wherein the target data comprises data information in the one or more data management systems.
Further, the second user tag set includes a technical category tag, the retrieving data matched with the second user tag set from a preset storage path, and sorting the data matched with the second user tag set by using a preset sorting rule includes:
acquiring the technical category label of the user, matching the technical category label with the technical category labels corresponding to the data information in the one or more data management systems, and screening one or more pieces of first data information matched with the technical category label of the user from the data information in the one or more data management systems;
acquiring second preset type data of the one or more pieces of first data information, determining each preset scoring factor data based on the second preset type data, and calculating the score of the one or more pieces of first data information; and
sorting the one or more pieces of first data information in the order of scores from high to low;
wherein, the calculation formula of the score is as follows:
S=∑si*ri
wherein i represents the ith scoring factor, si represents the ith scoring factor data, and ri represents the weight corresponding to the ith scoring factor.
Further, the apparatus further comprises:
the updating module is used for receiving the text information input and stored by the user, performing semantic analysis on the text information and extracting keywords; determining a technical label type label corresponding to the text information based on the mapping relation between the keywords and the label; and updating and storing the user tag set based on the technical type tag corresponding to the text information.
A third object of the present invention is to provide an electronic device, which includes a memory and a processor, where the memory stores a data processing pushing program based on scientific and technological achievement transformation, and the data processing pushing program based on scientific and technological achievement transformation, when executed by the processor, implements the steps of the data processing pushing method based on scientific and technological achievement transformation as described above.
A fourth object of the present invention is to provide a computer-readable storage medium, where a scientific and technological achievement transformation-based data processing pushing program is stored on the computer-readable storage medium, and the scientific and technological achievement transformation-based data processing pushing program can be executed by one or more processors to implement the steps of the scientific and technological achievement transformation-based data processing pushing method as described above.
The invention has the beneficial effects that:
the data processing and pushing method based on scientific and technological achievement conversion provided by the invention comprises the steps of receiving a login request which is sent by a user through a client and carries user authentication information, and verifying the user authentication information; when the user authentication information passes verification, acquiring a user identifier in the user authentication information, acquiring mapping data of a predetermined user identifier and a user tag set from a preset storage path, determining a first user tag set corresponding to the user identifier, when the first user tag set does not meet a preset condition, acquiring first preset type data of the user based on the user identifier, analyzing the first preset type data of the user based on a preset tag generation algorithm, and generating a second user tag set corresponding to the user identifier; or when the first user tag set meets a preset condition, directly taking the first user tag set as a second user tag set; and calling data matched with the second user tag set from a preset storage path, sequencing the data matched with the second user tag set by using a preset sequencing rule, taking a sequencing result as target data, and displaying the target data to the user through a preset display area of the client, wherein the target data comprises data information in the one or more data management systems. According to the invention, the verification condition judgment is carried out on the user label set corresponding to the user identification, if the verification condition judgment is not met, the label set analysis and generation are carried out on the basis of the data of the user, and the generated user label set is utilized to push the information corresponding to the user label set, so that the representativeness and the comprehensiveness of the user label set are improved, the accuracy and the comprehensiveness of the data information pushing are improved, and the use experience of the user is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a data processing and pushing method based on scientific and technological achievement transformation according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of a data processing and pushing apparatus based on scientific and technological achievement transformation according to an embodiment of the present invention;
fig. 3 is a schematic internal structural diagram of an electronic device implementing a data processing and pushing method based on scientific and technological achievement transformation according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that all the directional indicators (such as up, down, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.
It will also be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present.
In addition, the descriptions related to "first", "second", etc. in the present invention are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicit indication of the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
The invention provides a data processing and pushing method based on scientific and technological achievement transformation. Fig. 1 is a schematic flow chart of a data processing and pushing method based on scientific and technological achievement transformation according to an embodiment of the present invention. The method may be performed by an apparatus, which may be implemented by software and/or hardware.
In this embodiment, the data processing and pushing method based on scientific and technological achievement transformation is applied to one or more data management systems, such as system a, system B, and system C. The system A, the system B and the system C respectively have respective user groups, and data in the systems are different from each other, wherein the data can be scientific and technological achievement text data obtained by users based on research and development. Specifically, the data processing and pushing method comprises the following steps:
s110, receiving a login request which is sent by a user through a client and carries user authentication information, and verifying the user authentication information.
The user may be a user of any one of the systems a, B, and C.
The user sends a login request through the client, the request carries user authentication information, and the user authentication information comprises a user identifier and a password, for example, the user identifier may be a user account, a user identification number, a user mobile phone number, and the like.
In other embodiments, the user authentication information may also be biometric information, such as fingerprint information, iris information, voice print information, and the like.
The technology for verifying the user authentication information is mature, and is not described herein.
S120, when the user authentication information passes verification, obtaining a user identifier in the user authentication information, obtaining mapping data of a predetermined user identifier and a user tag set from a preset storage path, determining a first user tag set corresponding to the user identifier, when the first user tag set does not meet preset conditions, obtaining first preset type data of the user based on the user identifier, analyzing the first preset type data of the user based on a preset tag generation algorithm, and generating a second user tag set corresponding to the user identifier; or when the first user tag set meets a preset condition, directly taking the first user tag set as a second user tag set.
In this embodiment, each user in each system has a user tag set corresponding to each user identifier, and mapping data of the user identifiers and the user tag sets is stored in a preset storage path, for example, a database in a data center, and the like. The user tag set is obtained based on personal information or historical data of the user, however, the tag update frequency of different systems is not consistent.
In this embodiment, first, a user tag set corresponding to the user identifier is indexed from the database according to the user identifier. The user tag set includes, but is not limited to, user technology type tags. However, the user tag set may have a longer update time than the current time, which may not accurately reflect the current technical field of the user to some extent, and therefore, in order to improve the accuracy and integrity of the user technical type tag, the conditional verification is performed on the user technical type tag (i.e., the first user tag set) directly obtained according to the user identification index.
In one embodiment, the preset condition is that the interval between the generation time (or the update time) of the user tag set and the current time is less than 7 days, or 1 month, and the like, and the time interval may be adjusted according to the actual situation.
If the first user tag set meets the above conditions, it can be considered that the first user tag set can sufficiently represent the technical type of the user, and therefore, the accuracy of information push according to the current user technical type tag is high, and push can be performed based on the first user tag set.
If the second user tag set does not meet the conditions, the first user tag set is considered to be incapable of sufficiently representing the technical type of the user, and therefore, in order to improve the accuracy of information pushing of scientific research results, the user technical type tags corresponding to the user need to be further determined.
In this embodiment, first preset type data of the user is obtained based on the user identifier, and the first preset type data of the user is analyzed based on a preset tag generation algorithm to generate a second user tag set corresponding to the user identifier. For example, the first preset type data includes user attribute information, historical release text information data, and historical access text information data corresponding to the user account. And determining the user technology type label of the user through the semantic analysis and the keyword extraction algorithm of the historical text information data, and further generating a second user table label set of the user. For example, the keyword extraction algorithm may be, but is not limited to, TextRank, LDA, TPR, jieba, TF-IDF, etc.
S130, calling data matched with the second user tag set from a preset storage path, sorting the data matched with the second user tag set by using a preset sorting rule, taking a sorting result as target data, and displaying the target data to the user through a preset display area of the client, wherein the target data comprises data information in the one or more data management systems.
The preset storage path is a data center database, and the database further comprises all data in each system and total information such as labels corresponding to the data. After a second user tag set of the user is determined, all data used for matching with the second user tag set are pulled from a data center database, and the pulled data are preliminarily confirmed to be data related to the user technical type tag and can be recommended as related data. However, in order to make the pulled data more accurate or improve the user experience, the pulled data needs to be further processed.
In this embodiment, the retrieving, in step S130, data matched with the second user tag set from a preset storage path, and sorting the data matched with the second user tag set by using a preset sorting rule includes:
acquiring the technical category label of the user, matching the technical category label with the technical category labels corresponding to the data information in the one or more data management systems, and screening one or more pieces of first data information matched with the technical category label of the user from the data information in the one or more data management systems;
acquiring second preset type data of the one or more pieces of first data information, determining each preset scoring factor data based on the second preset type data, and calculating the score of the one or more pieces of first data information; and
and sorting the one or more pieces of first data information according to the order of scores from high to low.
The second preset type data comprises comment information, release time information and text type (for example, original or forwarding information) of each piece of text information. The scoring factors include: forwarding times, comment number, praise number, trample number, release time factor (the earlier the release time is, the larger the factor value is), text type factor (the factor value corresponding to originality is larger than the factor value corresponding to forwarding).
The calculation formula of the score is as follows:
S=∑si*ri
wherein i represents the ith scoring factor, si represents the ith scoring factor data, and ri represents the weight corresponding to the ith scoring factor.
In other embodiments, after the scores of the pieces of data information are calculated, a preset number (for example, 10 pieces) of data with the top scores may be selected for pushing, or data with scores higher than a preset score may be selected for pushing.
In order to update and adjust the user technical type tag of the user in time, in another embodiment, the data processing and pushing method based on the conversion of scientific and technological achievements further includes:
receiving text information input and stored by the user, performing semantic analysis on the text information and extracting keywords;
determining a technical type label corresponding to the text information based on the mapping relation between the keywords and the label; and
and updating and saving the user tag set based on the technical type tag corresponding to the text information.
When a user logs in at this time and releases new information, the new text information released by the user is used for extracting key words and determining technical type labels corresponding to the key words, the determined technical type labels are stored in a user label set of the user, and information such as updating time of the user label set is stored.
In other embodiments, historical text information published by other users corresponding to the new technology type tag may be further acquired from a database based on the new technology type tag, and is pushed to the user.
In other embodiments, the second set of user tags further includes user type tags, the method further comprising:
acquiring historical user behavior data of the user at preset time intervals, and calling a target contribution value calculation rule corresponding to the second user label type; and
and calculating the contribution value of the user based on the historical user behavior data of the user and the target contribution value calculation rule, and updating and storing the total contribution value of the user into the block link point.
Wherein the user behavior data comprises: system access, interaction, value contribution, resource solicitation, and the like.
The user type tag includes: personal and institutional users; when the user is a personal user, calling a personal user contribution value calculation rule as a target calculation rule; and when the user is a mechanism user, calling a mechanism user contribution value calculation rule as a target calculation rule.
In different contribution value calculation rules, the calculation factors may be the same or different, and the weights corresponding to the calculation factors may be the same or different. Therefore, the adjustment is specifically carried out according to actual requirements.
By saving the total contribution value in the blockchain node, a traceable persistent sharing mechanism is achieved.
Further, the second user tag set further includes a user level tag, and the data processing and pushing method based on scientific and technological achievement conversion further includes:
and acquiring the total contribution value of the user, determining the grade of the user according to the mapping relation between the total contribution value and the grade, and updating and storing the user grade label of the user.
For example, the higher the total contribution, the higher the rank; conversely, the lower the total contribution value, the lower the rank.
In other embodiments, the amount of recommended data, etc. may also be determined based on the user rating labels. For example, the higher the ranking, the greater the amount of recommended data.
For detailed description of the above steps, please refer to the following description of fig. 2 regarding a schematic diagram of program modules of an embodiment of a data processing pushing program 10 based on scientific and technological achievement transformation, and fig. 1 regarding a schematic diagram of a method flow of an embodiment of a data processing pushing method based on scientific and technological achievement transformation.
Fig. 2 is a functional block diagram of the data processing and pushing apparatus 100 based on scientific and technological achievement transformation according to the present invention.
The data processing and pushing device 100 based on scientific and technological achievement transformation can be installed in the electronic equipment 1. According to the implemented functions, the data processing and pushing device 100 based on scientific and technological achievement transformation may include a receiving module 110, a tag set generating module 120, and a processing and pushing module 130. The module of the invention, which may also be referred to as a unit, is a series of computer program segments that can be executed by a processor of the electronic device 1 and that can perform a fixed function, and is stored in a memory of the electronic device 1.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the receiving module 110 is configured to receive a login request carrying user authentication information sent by a user through a client, and verify the user authentication information.
The user may be a user of any one of the systems a, B, and C.
The user sends a login request through the client, the request carries user authentication information, and the user authentication information comprises a user identifier and a password, for example, the user identifier may be a user account, a user identification number, a user mobile phone number, and the like.
In other embodiments, the user authentication information may also be biometric information, such as fingerprint information, iris information, voice print information, and the like.
The technology for verifying the user authentication information is mature, and is not described herein.
A tag set generating module 120, configured to, when the user authentication information passes verification, obtain a user identifier in the user authentication information, obtain mapping data of a predetermined user identifier and a user tag set from a preset storage path, determine a first user tag set corresponding to the user identifier, when the first user tag set does not satisfy a preset condition, obtain first preset type data of the user based on the user identifier, analyze the first preset type data of the user based on a preset tag generating algorithm, and generate a second user tag set corresponding to the user identifier; or when the first user tag set meets a preset condition, directly taking the first user tag set as a second user tag set.
In this embodiment, each user in each system has a user tag set corresponding to each user identifier, and mapping data of the user identifiers and the user tag sets is stored in a preset storage path, for example, a database in a data center, and the like. The user tag set is obtained based on personal information or historical data of the user, however, the tag update frequency of different systems is not consistent.
In this embodiment, first, a user tag set corresponding to the user identifier is indexed from the database according to the user identifier. The user tag set includes, but is not limited to, user technology type tags. However, the user tag set may have a longer update time than the current time, which may not accurately reflect the current technical field of the user to some extent, and therefore, in order to improve the accuracy and integrity of the user technical type tag, the conditional verification is performed on the user technical type tag (i.e., the first user tag set) directly obtained according to the user identification index.
In one embodiment, the preset condition is that the interval between the generation time (or the update time) of the user tag set and the current time is less than 7 days, or 1 month, and the like, and the time interval may be adjusted according to the actual situation.
If the first user tag set meets the above conditions, it can be considered that the first user tag set can sufficiently represent the technical type of the user, and therefore, the accuracy of information push according to the current user technical type tag is high, and push can be performed based on the first user tag set.
If the second user tag set does not satisfy the above condition, it is determined that the first user tag set cannot sufficiently represent the user technology type, and therefore, in order to improve the accuracy of information push, it is necessary to further clarify the user technology type tag corresponding to the user.
In this embodiment, first preset type data of the user is obtained based on the user identifier, and the first preset type data of the user is analyzed based on a preset tag generation algorithm to generate a second user tag set corresponding to the user identifier. For example, the first preset type data includes user attribute information, historical release text information data, and historical access text information data corresponding to the user account. And determining the user technology type label of the user through the semantic analysis and the keyword extraction algorithm of the historical text information data, and further generating a second user table label set of the user. For example, the keyword extraction algorithm may be, but is not limited to, TextRank, LDA, TPR, jieba, TF-IDF, etc.
The processing and pushing module 130 is configured to retrieve data matched with the second user tag set from a preset storage path, sort the data matched with the second user tag set by using a preset sorting rule, use a sorting result as target data, and display the target data to the user through a preset display area of the client, where the target data includes data information in the one or more data management systems.
The preset storage path is a data center database, and the database further comprises all data in each system and total information such as labels corresponding to the data. After a second user tag set of the user is determined, all data used for matching with the second user tag set are pulled from a data center database, and the pulled data are preliminarily confirmed to be data related to the user technical type tag and can be recommended as related data. However, in order to make the pulled data more accurate or improve the user experience, the pulled data needs to be further processed.
In this embodiment, retrieving data matched with the second user tag set from a preset storage path, and sorting the data matched with the second user tag set by using a preset sorting rule includes:
acquiring the technical category label of the user, matching the technical category label with the technical category labels corresponding to the data information in the one or more data management systems, and screening one or more pieces of first data information matched with the technical category label of the user from the data information in the one or more data management systems;
acquiring second preset type data of the one or more pieces of first data information, determining each preset scoring factor data based on the second preset type data, and calculating the score of the one or more pieces of first data information; and
and sorting the one or more pieces of first data information according to the order of scores from high to low.
The second preset type data comprises comment information, release time information and text type (for example, original or forwarding information) of each piece of text information. The scoring factors include: forwarding times, comment number, praise number, trample number, release time factor (the earlier the release time is, the larger the factor value is), text type factor (the factor value corresponding to originality is larger than the factor value corresponding to forwarding).
The calculation formula of the score is as follows:
S=∑si*ri
wherein i represents the ith scoring factor, si represents the ith scoring factor data, and ri represents the weight corresponding to the ith scoring factor.
In other embodiments, after the scores of the pieces of data information are calculated, a preset number (for example, 10 pieces) of data with the top scores may be selected for pushing, or data with scores higher than a preset score may be selected for pushing.
Fig. 3 is a schematic structural diagram of an electronic device implementing a data processing and pushing method based on scientific and technological achievement transformation according to the present invention.
The electronic device 1 may include a processor 12, a memory 11 and a bus, and may further include a computer program stored in the memory 11 and executable on the processor 12, such as a data processing push program 10 based on scientific and technological achievement transformation.
Wherein the memory 11 comprises at least one type of readable storage medium, and the computer readable storage medium stores thereon the scientific and technological achievement conversion-based data processing push program 10, and the scientific and technological achievement conversion-based data processing push program 10 can be executed by one or more processors 12. The readable storage medium includes flash memory, removable hard disks, multimedia cards, card type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 can be used for storing not only the application software installed in the electronic device 1 and various types of data, such as codes of the data processing push program 10 based on the conversion of scientific and technological achievements, but also temporarily storing data that has been output or will be output.
The processor 12 may be formed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 12 is a Control Unit (Control Unit) of the electronic device 1, connects various components of the whole electronic device 1 by using various interfaces and lines, and executes various functions and processes data of the electronic device 1 by running or executing programs or modules (such as the data processing push program 10 converted based on scientific and technological achievements, etc.) stored in the memory 11 and calling data stored in the memory 11.
The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 12 or the like.
Fig. 3 shows only the electronic device 1 with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device 1 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 12 through a power management system, so as to implement functions of charge management, discharge management, power consumption management, and the like through the power management system. The power supply may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
Further, the electronic device 1 may further include a network interface 13, and optionally, the network interface 13 may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally used for establishing a communication connection between the electronic device 1 and other electronic devices 1.
Optionally, the electronic device 1 may further comprise a user interface, which may be a Display (Display), an input unit (such as a Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the electronic device 1 and for displaying a visualized user interface, among other things.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The data processing push program 10 based on scientific and technological achievement conversion stored in the memory 11 of the electronic device 1 is a combination of a plurality of instructions, and when running in the processor 12, can realize that:
receiving a login request which is sent by a user through a client and carries user authentication information, and verifying the user authentication information;
when the user authentication information passes verification, acquiring a user identifier in the user authentication information, acquiring mapping data of a predetermined user identifier and a user tag set from a preset storage path, determining a first user tag set corresponding to the user identifier, when the first user tag set does not meet a preset condition, acquiring first preset type data of the user based on the user identifier, analyzing the first preset type data of the user based on a preset tag generation algorithm, and generating a second user tag set corresponding to the user identifier; or when the first user tag set meets a preset condition, directly taking the first user tag set as a second user tag set; and
and calling data matched with the second user tag set from a preset storage path, sequencing the data matched with the second user tag set by using a preset sequencing rule, taking a sequencing result as target data, and displaying the target data to the user through a preset display area of the client, wherein the target data comprises data information in the one or more data management systems.
Specifically, the processor 11 may refer to the description of the relevant steps in the embodiment corresponding to fig. 1 for a specific implementation method of the instruction, which is not described herein again.
Further, the integrated modules/units of the electronic device 1, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. The computer-readable medium may include: any entity or system capable of carrying said computer program code, a recording medium, a usb-disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus, system, and method may be implemented in other ways. For example, the system embodiments described above are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or systems recited in the system claims may also be implemented by one unit or system in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A data processing and pushing method based on scientific and technological achievement conversion is applied to one or more data management systems and comprises the following steps:
receiving a login request which is sent by a user through a client and carries user authentication information, and verifying the user authentication information;
when the user authentication information passes verification, acquiring a user identifier in the user authentication information, acquiring mapping data of a predetermined user identifier and a user tag set from a preset storage path, determining a first user tag set corresponding to the user identifier, when the first user tag set does not meet a preset condition, acquiring first preset type data of the user based on the user identifier, analyzing the first preset type data of the user based on a preset tag generation algorithm, and generating a second user tag set corresponding to the user identifier; or when the first user tag set meets a preset condition, directly taking the first user tag set as a second user tag set; and
and calling data matched with the second user tag set from a preset storage path, sequencing the data matched with the second user tag set by using a preset sequencing rule, taking a sequencing result as target data, and displaying the target data to the user through a preset display area of the client, wherein the target data comprises data information in the one or more data management systems.
2. The method for pushing data processing based on scientific and technological achievement transformation as claimed in claim 1, wherein the second user tag set comprises a technical category tag, the retrieving of the data matched with the second user tag set from a preset storage path and the sorting of the data matched with the second user tag set by using a preset sorting rule comprise:
acquiring the technical category label of the user, matching the technical category label with the technical category labels corresponding to the data information in the one or more data management systems, and screening one or more pieces of first data information matched with the technical category label of the user from the data information in the one or more data management systems;
acquiring second preset type data of the one or more pieces of first data information, determining each preset scoring factor data based on the second preset type data, and calculating the score of the one or more pieces of first data information; and
sorting the one or more pieces of first data information in the order of scores from high to low;
wherein, the calculation formula of the score is as follows:
S=∑si*ri
wherein i represents the ith scoring factor, si represents the ith scoring factor data, and ri represents the weight corresponding to the ith scoring factor.
3. The method for pushing data processing based on scientific and technological achievement transformation as claimed in claim 1, wherein the method further comprises:
receiving text information input and stored by the user, performing semantic analysis on the text information and extracting keywords;
determining a technical type label corresponding to the text information based on the mapping relation between the keywords and the label; and
and updating and saving the user tag set based on the technical type tag corresponding to the text information.
4. The method for pushing data processing based on scientific and technological achievement transformation as claimed in claim 1, wherein the second user tag set further comprises a user type tag, the method further comprising:
acquiring historical user behavior data of the user at preset time intervals, and calling a target contribution value calculation rule corresponding to the second user label type, wherein the user type label comprises: personal and institutional users; when the user is a personal user, calling a personal user contribution value calculation rule as a target calculation rule; when the user is a mechanism user, calling a mechanism user contribution value calculation rule as a target calculation rule; and
and calculating the contribution value of the user based on the historical user behavior data of the user and the target contribution value calculation rule, and updating and storing the total contribution value of the user into the block link point.
5. The method as claimed in claim 4, wherein the second user tag set further includes a user-level tag, and the method further includes:
and acquiring the total contribution value of the user, determining the grade of the user according to the mapping relation between the total contribution value and the grade, and updating and storing the user grade label of the user.
6. A data processing pusher based on scientific and technological achievement conversion, characterized in that, the device includes:
the receiving module is used for receiving a login request which is sent by a user through a client and carries user authentication information, and verifying the user authentication information;
the tag set generation module is used for acquiring a user identifier in the user authentication information when the user authentication information passes verification, acquiring mapping data of a predetermined user identifier and a user tag set from a preset storage path, determining a first user tag set corresponding to the user identifier, acquiring first preset type data of the user based on the user identifier when the first user tag set does not meet preset conditions, analyzing the first preset type data of the user based on a preset tag generation algorithm, and generating a second user tag set corresponding to the user identifier; or when the first user tag set meets a preset condition, directly taking the first user tag set as a second user tag set; and
and the processing and pushing module is used for calling data matched with the second user tag set from a preset storage path, sequencing the data matched with the second user tag set by using a preset sequencing rule, taking a sequencing result as target data, and displaying the target data to the user through a preset display area of the client, wherein the target data comprises data information in the one or more data management systems.
7. The apparatus according to claim 6, wherein the second user tag set includes a technology category tag, and the retrieving data matching the second user tag set from a preset storage path and sorting the data matching the second user tag set by using a preset sorting rule includes:
acquiring the technical category label of the user, matching the technical category label with the technical category labels corresponding to the data information in the one or more data management systems, and screening one or more pieces of first data information matched with the technical category label of the user from the data information in the one or more data management systems;
acquiring second preset type data of the one or more pieces of first data information, determining each preset scoring factor data based on the second preset type data, and calculating the score of the one or more pieces of first data information; and
sorting the one or more pieces of first data information in the order of scores from high to low;
wherein, the calculation formula of the score is as follows:
S=∑si*ri
wherein i represents the ith scoring factor, si represents the ith scoring factor data, and ri represents the weight corresponding to the ith scoring factor.
8. The device for pushing data processing based on scientific and technological achievement transformation as claimed in claim 6, characterized in that the device further comprises:
the updating module is used for receiving the text information input and stored by the user, performing semantic analysis on the text information and extracting keywords; determining a technical label type label corresponding to the text information based on the mapping relation between the keywords and the label; and updating and storing the user tag set based on the technical type tag corresponding to the text information.
9. An electronic device, characterized in that the electronic device comprises a memory and a processor, the memory stores a scientific and technological achievement transformation-based data processing push program, and the scientific and technological achievement transformation-based data processing push program realizes the steps of the scientific and technological achievement transformation-based data processing push method according to any one of claims 1-5 when executed by the processor.
10. A computer-readable storage medium, wherein a scientific and technological achievement transformation-based data processing push program is stored on the computer-readable storage medium, and the scientific and technological achievement transformation-based data processing push program is executable by one or more processors to implement the steps of the scientific and technological achievement transformation-based data processing push method according to any one of claims 1 to 5.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104850546A (en) * | 2014-02-13 | 2015-08-19 | 腾讯科技（深圳）有限公司 | Mobile media information display method and system |
| CN105405034A (en) * | 2015-12-07 | 2016-03-16 | 青岛海尔滚筒洗衣机有限公司 | Method for using washing machine for quick commodity recommendation and washing machine |
| CN106952112A (en) * | 2017-03-01 | 2017-07-14 | 心触动（武汉）文化传媒有限公司 | A kind of method for delivering advertisement accurately and system |
| CN109145280A (en) * | 2017-06-15 | 2019-01-04 | 北京京东尚科信息技术有限公司 | The method and apparatus of information push |
| CN109903177A (en) * | 2019-03-16 | 2019-06-18 | 凌兴莉 | A kind of online article intercommunion platform |
| CN110750719A (en) * | 2019-10-18 | 2020-02-04 | 重庆空间视创科技有限公司 | IPTV-based information accurate pushing system and method |
| CN111949898A (en) * | 2020-08-28 | 2020-11-17 | 平安国际智慧城市科技股份有限公司 | Search result ordering method, device, equipment and computer readable storage medium |
-
2020
- 2020-12-23 CN CN202011542347.0A patent/CN112528155A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104850546A (en) * | 2014-02-13 | 2015-08-19 | 腾讯科技（深圳）有限公司 | Mobile media information display method and system |
| CN105405034A (en) * | 2015-12-07 | 2016-03-16 | 青岛海尔滚筒洗衣机有限公司 | Method for using washing machine for quick commodity recommendation and washing machine |
| CN106952112A (en) * | 2017-03-01 | 2017-07-14 | 心触动（武汉）文化传媒有限公司 | A kind of method for delivering advertisement accurately and system |
| CN109145280A (en) * | 2017-06-15 | 2019-01-04 | 北京京东尚科信息技术有限公司 | The method and apparatus of information push |
| CN109903177A (en) * | 2019-03-16 | 2019-06-18 | 凌兴莉 | A kind of online article intercommunion platform |
| CN110750719A (en) * | 2019-10-18 | 2020-02-04 | 重庆空间视创科技有限公司 | IPTV-based information accurate pushing system and method |
| CN111949898A (en) * | 2020-08-28 | 2020-11-17 | 平安国际智慧城市科技股份有限公司 | Search result ordering method, device, equipment and computer readable storage medium |
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