CN116431799A - Content accurate mining system based on technical innovation research and development - Google Patents
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Abstract
The invention discloses a content accurate mining system based on technical innovation research and development, which belongs to the technical field of data processing, and the content accurate mining system analyzes the checking records of the prior literature data by each research and development personnel during the research and development period so as to acquire the influence degree of different literatures on the whole research and development process, and preferentially pushes the corresponding technical literature with larger influence on the whole research and development process in the process of searching the technical literature by the subsequent research and development personnel, so that the research and development personnel can not miss the data, thereby improving the consistency of each research and development personnel in the research and development group to the prior art, improving the research and development consistency and the communication efficiency among the research and development personnel, and reducing the internal consumption in the research and development group.
Description
Technical Field
The invention belongs to the technical field of data processing. In particular to a content accurate mining system developed based on technical innovation.
Background
The technical innovation is an innovation aimed at creating new technology or an innovation based on scientific and technical knowledge and its created resources. When carrying out technical innovation research and development, research and development personnel need to have certain understanding to related technologies in the prior art, especially the latest technology in the field, and the research and development personnel can accurately carry out technical avoidance, extension and the like on the premise of having considerable understanding, so that the research and development result is ensured to be distinguished from the prior art.
In the prior art, when research and development personnel of the same research and development group carry out technical innovation research and development, the research and development personnel usually carry out inquiry of documents according to the needs of the responsible part of the research and development personnel, and because the documents which are mainly checked are different, the research and development personnel have difficulty in communicating in the process of communicating, the difference of the mastered prior art is large, the integration of research directions and research resources is not facilitated, in order to solve the problems, the invention provides a method which can integrate the understanding of the prior art by each research personnel, realize the accurate pushing of the related prior art, avoid each research personnel from being in charge of each other and is not beneficial to the unified problem of the resources, and the invention provides the following technical scheme.
Disclosure of Invention
The invention aims to provide a content accurate mining system based on technical innovation and research and development, which solves the problems that in the prior art, researchers have difficulty in communicating in the process of communicating, the mastered prior art has large difference, and the integration of research directions and research resources is not facilitated.
The aim of the invention can be achieved by the following technical scheme:
content accurate mining system based on technological innovation research and development includes:
the search platform unit is used for distributing a login account for each research and development personnel in the research and development group, and after the research and development personnel log in the search platform unit through the login account, the search platform unit is used for searching the object in the database by inputting a search keyword, so that a corresponding search result is obtained;
the search result comprises a group of documents obtained by searching according to the keywords;
the database is used for storing document materials to be searched;
the path recording unit is used for storing search records and feedback actions of all research personnel in the research and development group;
the search record comprises keywords input during search;
the feedback actions comprise collection, click opening and reading;
and the controller is used for analyzing the information recorded in the path recording unit, reordering the documents retrieved by the research personnel through the retrieval platform unit according to the analysis result, and recommending each reordered document to the corresponding research personnel as the retrieval result.
As a further scheme of the invention, the method for precisely mining the content by the system comprises the following steps:
s1, acquiring a retrieval data packet corresponding to each developer, wherein the retrieval data packet comprises all target documents corresponding to the corresponding developer;
s2, acquiring search data packets corresponding to all research and development personnel in the research and development group;
marking one document as a target document, and acquiring a corresponding matching coefficient J of the target document in each search data packet;
marking the matching coefficient J of the target document in each search data packet as J1, J2, … and Jn in sequence, wherein n is the number of the search data packets with the target document;
calculating according to formulas Jz=J1+J2+, … and +Jn to obtain a corresponding total anastomosis coefficient Jz of the target document during the research and development period;
acquiring a keyword combination W corresponding to the target document in each search data packet, and marking the keyword combination corresponding to the target document in each search data packet as W1, W2, … and Wn in sequence;
acquiring a set of keywords in W1 to Wn, acquiring the number gc of occurrence of each keyword in the set, and then calculating according to a formula gb=gc/gz to obtain a correlation coefficient gb of each keyword corresponding to the target document;
gz is the total number of keywords in the set of keywords corresponding to the target document;
s3, when a research and development person logs in a search platform unit to input a search keyword to search the object in the database, firstly obtaining a corresponding search result;
marking the search keywords input by the research personnel as marking keywords;
marking the corresponding document in the search result as a document to be processed;
acquiring a total anastomosis coefficient Jz corresponding to each document to be processed;
for one to-be-processed document, acquiring the association coefficient gb of each marking keyword corresponding to the to-be-processed document, and marking the association coefficient of each marking keyword corresponding to the to-be-processed document as gb1, gb2, … and gbk in sequence;
wherein k is the number of the marking keywords corresponding to the current retrieval;
calculating according to formulas g=gb1+gb2+, … and + gbk to obtain a fitting deviation value G between each document to be processed and the marking keyword;
calculating according to a formula R=β1×G+β2×Jz- β3×T/T1 to obtain a recommendation coefficient R corresponding to each document to be processed;
wherein β1, β2 and β3 are all preset values;
t is the time difference between the moment when the developer in the research and development group corresponding to the document to be processed performs feedback action for the first time and the current moment, and T1 is a preset value;
s4, acquiring a recommendation coefficient R corresponding to each document to be processed;
acquiring serial numbers of all documents to be processed in the search result;
marking the documents to be processed meeting the condition that the recommendation coefficient R is larger than the preset value R1 as star mark files, and sequentially carrying out override actions on the star mark files according to the sequence from the large to the small of the corresponding recommendation coefficient R, wherein the override actions refer to forward adjustment of the serial numbers of the corresponding star mark files.
As a further aspect of the present invention, the method for obtaining the search packet includes:
the research personnel logs in the search platform unit, and searches the object in the database by inputting a search keyword into the search platform unit, so as to obtain a corresponding search result;
the search result comprises a group of documents obtained by searching according to the keywords;
the research personnel execute feedback action on the search result;
acquiring whether a research and development personnel adds collection or not through a path recording unit, and clicking and opening times c of each document and checking time t of each document during research and development by the research and development personnel;
for a document, the controller calculates the anastomosis coefficient J of the document corresponding to a research and development personnel according to the formula J=α1×t/c+α2×t+α3×c+α4;
wherein, alpha 1, alpha 2 and alpha 3 are all preset coefficients;
when the corresponding document is added and collected by a research and development personnel, the alpha 4 value is a preset value larger than 0, and when the corresponding document is not added and collected by the research and development personnel, the alpha 4 value is 0;
when J is greater than or equal to J1, the document is a target document of a corresponding developer, wherein J1 is a preset value.
As a further aspect of the present invention, J1.ltoreq.α4 holds.
As a further aspect of the present invention, the method for determining the keyword combinations corresponding to the target document in the search data packet includes:
for a retrieval data packet, acquiring a keyword adopted by a corresponding retrieval when a corresponding research and development personnel execute feedback action on a target document;
acquiring keywords adopted by corresponding search when the corresponding research personnel execute feedback action on the target document each time, and marking a set of the keywords as a keyword combination of the target document;
two or more identical keywords can be present in the same keyword combination.
As a further scheme of the invention, the concrete operation method of the override action is as follows: the serial number of each star mark file after adjustment is x-x2, and R2 is a preset value;
wherein x1-1 is more than or equal to x2 and less than or equal to x1, and x2 is a positive integer;
wherein x1=r/R2; and x is the updated sequence number of the star mark file to be processed after the sequence number of the star mark file to be processed is adjusted.
The invention has the beneficial effects that:
1. according to the invention, through analyzing the checking records of the existing literature data by each research and development personnel during the research and development period, when the research and development personnel continue to search the related data, the most appropriate, reasonable and closest technical literature in the search result is preferentially recommended to the corresponding research and development personnel, so that the research and development personnel are assisted to avoid, inspire and extend the prior art, and the search difficulty is reduced;
2. according to the invention, the degree of influence of different documents on the whole research and development process is obtained by analyzing the checking records of the existing document data by each research and development personnel during the research and development period, the corresponding technical documents with larger influence on the whole research and development process are preferentially pushed in the process of searching the technical documents by the subsequent research and development personnel, so that the research and development personnel can not miss the data, the consistency of each research and development personnel in the research and development group on the prior art is improved, the research and development consistency and the communication efficiency among the research and development personnel are improved, and the internal consumption in the research and development group is reduced.
Detailed Description
The following description of the technical solutions in the embodiments of the present invention will be clear and complete, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Content accurate mining system based on technological innovation research and development includes:
the search platform unit is used for distributing a login account for each research and development personnel in the research and development group, and after the research and development personnel log in the search platform unit through the login account, the search platform unit is used for searching the object in the database by inputting a search keyword, so that a corresponding search result is obtained;
the search result comprises a group of documents obtained by searching according to the keywords;
the database is used for storing document materials to be searched;
the path recording unit is used for storing search records and feedback actions of all research personnel in the research and development group;
the search record comprises keywords input during search;
the feedback actions comprise collection, click opening and reading;
the controller is used for analyzing the information recorded in the path recording unit, reordering the documents retrieved by the research personnel through the retrieval platform unit according to the analysis result, and recommending each reordered document to the corresponding research personnel as the retrieval result;
the method for precisely mining the content according to the content precisely mining system developed based on the technical innovation comprises the following steps:
s1, acquiring a retrieval data packet corresponding to each research and development personnel;
the acquisition method of the search data packet comprises the following steps:
the research personnel logs in the search platform unit, and searches the object in the database by inputting a search keyword into the search platform unit, so as to obtain a corresponding search result;
the search result comprises a group of documents obtained by searching according to the keywords;
the research personnel execute feedback action on the search result;
acquiring whether a research and development personnel adds collection or not through a path recording unit, and clicking and opening times c of each document and checking time t of each document during research and development by the research and development personnel;
for a document, the controller calculates the anastomosis coefficient J of the document corresponding to a research and development personnel according to the formula J=α1×t/c+α2×t+α3×c+α4;
wherein, alpha 1, alpha 2 and alpha 3 are all preset coefficients;
when the corresponding document is added and collected by the research personnel, the alpha 4 value is a preset value larger than 0, and when the corresponding document is not added and collected by the research personnel, the alpha 4 value is 0;
when J is more than or equal to J1, the document is considered as a target document of a corresponding research and development personnel, wherein J1 is a preset value;
in one embodiment of the invention, J1. Ltoreq.α4 holds;
acquiring all target documents corresponding to a corresponding developer, and marking the combination of the target documents as a retrieval data packet of the developer;
according to the method, feedback actions of the searched documents are analyzed by researchers during the research and development period, the documents focused by the researchers during the research and development period can be obtained, interference of search objects is reduced, and accurate judgment is facilitated to be made subsequently;
s2, acquiring search data packets corresponding to all research and development personnel in the research and development group;
marking one document as a target document, and acquiring a corresponding matching coefficient J of the target document in each search data packet;
marking the matching coefficient J of the target document in each search data packet as J1, J2, … and Jn in sequence, wherein n is the number of the search data packets with the target document;
calculating according to formulas Jz=J1+J2+, … and +Jn to obtain a corresponding total anastomosis coefficient Jz of the target document during the research and development period;
acquiring a keyword combination W corresponding to the target document in each search data packet, and marking the keyword combination corresponding to the target document in each search data packet as W1, W2, … and Wn in sequence;
acquiring a set of keywords in W1 to Wn, acquiring the number gc of occurrence of each keyword in the set, and then calculating according to a formula gb=gc/gz to obtain a correlation coefficient gb of each keyword corresponding to the target document;
gz is the total number of keywords in the set of keywords corresponding to the target document;
the method for determining the key word combinations corresponding to the target document in the search data packet comprises the following steps:
for a retrieval data packet, acquiring a keyword adopted by a corresponding retrieval when a corresponding research and development personnel execute feedback action on a target document;
acquiring keywords adopted by corresponding search when the corresponding research personnel execute feedback action on the target document each time, and marking a set of the keywords as a keyword combination of the target document;
two or more identical keywords may be present in the same keyword combination;
it should be noted that when the meanings of two keywords are the same, the two keywords are considered to be the same keyword;
s3, when a research and development person logs in a search platform unit to input a search keyword to search the object in the database, firstly obtaining a corresponding search result;
marking the search keywords input by the research personnel in the search platform unit as marked keywords;
marking the corresponding document in the search result as a document to be processed;
acquiring a total anastomosis coefficient Jz corresponding to each document to be processed;
for one to-be-processed document, acquiring the association coefficient gb of each marking keyword corresponding to the to-be-processed document, and marking the association coefficient of each marking keyword corresponding to the to-be-processed document as gb1, gb2, … and gbk in sequence;
wherein k is the number of the marking keywords corresponding to the current retrieval;
calculating according to formulas g=gb1+gb2+, … and + gbk to obtain a fitting deviation value G between each document to be processed and the marking keyword;
calculating according to a formula R=β1×G+β2×Jz- β3×T/T1 to obtain a recommendation coefficient R corresponding to each document to be processed;
wherein β1, β2 and β3 are all preset values;
t is the time difference between the moment when the developer in the research and development group corresponding to the document to be processed performs feedback action for the first time and the current moment, and T1 is a preset value;
s4, acquiring a recommendation coefficient R corresponding to each document to be processed;
acquiring the serial numbers of all documents to be processed in the search result in the step S3;
the serial numbers of the documents to be processed in the search results output according to the search keywords in the step S3 are obtained by sequencing the similarity between the documents to be processed and the search keywords from large to small;
marking the documents to be processed meeting the requirement that the recommendation coefficient R is larger than the preset value R1 as star mark files, and sequentially carrying out the override action on each star mark file according to the sequence from the large to the small of the corresponding recommendation coefficient R;
the override action refers to forward-tuning the sequence number of the corresponding star mark file;
and the serial number of each star mark file after adjustment is x-x2, and R2 is a preset value;
wherein x1-1 is more than or equal to x2 and less than or equal to x1, and x2 is a positive integer;
wherein x1=r/R2; x is the updated sequence number of the star mark file to be processed after the sequence number of the star mark file to be processed is adjusted;
for the first star file with the override action, x is the corresponding serial number obtained after the search in the step S3;
s5, after the serial numbers of the to-be-processed documents are obtained according to the method in the step S4, the controller sorts the to-be-processed documents according to the serial numbers, and displays the sorted to-be-processed documents to researchers.
According to the invention, through analyzing the checking records of the existing literature data by each research and development personnel during the research and development period, when the research and development personnel continue to search the related data, the most appropriate, reasonable and closest technical literature in the search result is preferentially recommended to the corresponding research and development personnel, so that the research and development personnel are assisted to avoid, inspire and extend the prior art, and the search difficulty is reduced;
according to the invention, the degree of influence of different documents on the whole research and development process is obtained by analyzing the checking records of the existing document data by each research and development personnel during the research and development period, the corresponding technical documents with larger influence on the whole research and development process are pushed preferentially in the process of searching the technical documents by the subsequent research and development personnel, so that the research and development personnel can not miss the data, the consistency of each research and development personnel in the research and development group on the prior art is improved, the research and development consistency and the communication efficiency among the research and development personnel are improved, and the internal consumption in the research and development group is reduced.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative and explanatory of the invention, as various modifications and additions may be made to the particular embodiments described, or in a similar manner, by those skilled in the art, without departing from the scope of the invention or exceeding the scope of the invention as defined in the claims.
Claims (5)
1. Content accurate mining system based on technological innovation research and development, characterized by comprising:
the search platform unit is used for distributing a login account for each research and development personnel in the research and development group, and after the research and development personnel log in the search platform unit through the login account, the search platform unit is used for searching the object in the database by inputting a search keyword, so that a corresponding search result is obtained;
the search result comprises a group of documents obtained by searching according to the keywords;
the database is used for storing document materials to be searched;
the path recording unit is used for storing search records and feedback actions of all research personnel in the research and development group;
the search record comprises keywords input during search;
the feedback actions comprise collection, click opening and reading;
the controller is used for analyzing the information recorded in the path recording unit, reordering the documents retrieved by the research personnel through the retrieval platform unit according to the analysis result, and recommending each reordered document to the corresponding research personnel as the retrieval result;
the method for precisely mining the content by the content precisely mining system comprises the following steps:
s1, acquiring a retrieval data packet corresponding to each developer, wherein the retrieval data packet comprises all target documents corresponding to the corresponding developer;
s2, acquiring search data packets corresponding to all research and development personnel in the research and development group;
marking one document as a target document, and acquiring a corresponding matching coefficient J of the target document in each search data packet;
marking the matching coefficient J of the target document in each search data packet as J1, J2, … and Jn in sequence, wherein n is the number of the search data packets with the target document;
calculating according to formulas Jz=J1+J2+, … and +Jn to obtain a corresponding total anastomosis coefficient Jz of the target document during the research and development period;
acquiring a keyword combination W corresponding to the target document in each search data packet, and marking the keyword combination corresponding to the target document in each search data packet as W1, W2, … and Wn in sequence;
acquiring a set of keywords in W1 to Wn, acquiring the number gc of occurrence of each keyword in the set, and then calculating according to a formula gb=gc/gz to obtain a correlation coefficient gb of each keyword corresponding to the target document;
gz is the total number of keywords in the set of keywords corresponding to the target document;
s3, when a research and development person logs in a search platform unit to input a search keyword to search the object in the database, firstly obtaining a corresponding search result;
marking the search keywords input by the research personnel as marking keywords;
marking the corresponding document in the search result as a document to be processed;
acquiring a total anastomosis coefficient Jz corresponding to each document to be processed;
for one to-be-processed document, acquiring the association coefficient gb of each marking keyword corresponding to the to-be-processed document, and marking the association coefficient of each marking keyword corresponding to the to-be-processed document as gb1, gb2, … and gbk in sequence;
wherein k is the number of the marking keywords corresponding to the current retrieval;
calculating according to formulas g=gb1+gb2+, … and + gbk to obtain a fitting deviation value G between each document to be processed and the marking keyword;
calculating according to a formula R=β1×G+β2×Jz- β3×T/T1 to obtain a recommendation coefficient R corresponding to each document to be processed;
wherein β1, β2 and β3 are all preset values;
t is the time difference between the moment when the developer in the research and development group corresponding to the document to be processed performs feedback action for the first time and the current moment, and T1 is a preset value;
s4, acquiring a recommendation coefficient R corresponding to each document to be processed;
acquiring serial numbers of all documents to be processed in the search result;
marking the documents to be processed meeting the condition that the recommendation coefficient R is larger than the preset value R1 as star mark files, and sequentially carrying out override actions on the star mark files according to the sequence from the large to the small of the corresponding recommendation coefficient R, wherein the override actions refer to forward adjustment of the serial numbers of the corresponding star mark files.
2. The content accurate mining system developed based on technical innovation according to claim 1, wherein the retrieval data packet obtaining method is as follows:
the research personnel logs in the search platform unit, and searches the object in the database by inputting a search keyword into the search platform unit, so as to obtain a corresponding search result;
the search result comprises a group of documents obtained by searching according to the keywords;
the research personnel execute feedback action on the search result;
acquiring whether a research and development personnel adds collection or not through a path recording unit, and clicking and opening times c of each document and checking time t of each document during research and development by the research and development personnel;
for a document, the controller calculates the anastomosis coefficient J of the document corresponding to a research and development personnel according to the formula J=α1×t/c+α2×t+α3×c+α4;
wherein, alpha 1, alpha 2 and alpha 3 are all preset coefficients;
when the corresponding document is added and collected by a research and development personnel, the alpha 4 value is a preset value larger than 0, and when the corresponding document is not added and collected by the research and development personnel, the alpha 4 value is 0;
when J is greater than or equal to J1, the document is a target document of a corresponding developer, wherein J1 is a preset value.
3. The content accurate mining system developed based on technical innovation according to claim 2, wherein J1 is equal to or less than α4.
4. The content accurate mining system developed based on technical innovation according to claim 2, wherein the determining method of the key word combination corresponding to the target document in the search data packet is as follows:
for a retrieval data packet, acquiring a keyword adopted by a corresponding retrieval when a corresponding research and development personnel execute feedback action on a target document;
acquiring keywords adopted by corresponding search when the corresponding research personnel execute feedback action on the target document each time, and marking a set of the keywords as a keyword combination of the target document;
two or more identical keywords can be present in the same keyword combination.
5. The content accurate mining system developed based on technical innovation according to claim 1, wherein the concrete operation method of the override action is as follows: the serial number of each star mark file after adjustment is x-x2, and R2 is a preset value;
wherein x1-1 is more than or equal to x2 and less than or equal to x1, and x2 is a positive integer;
wherein x1=r/R2; and x is the updated sequence number of the star mark file to be processed after the sequence number of the star mark file to be processed is adjusted.
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