CN116910228B - Proposal information processing system and method - Google Patents
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Abstract
The invention relates to a proposal information processing system and method, in particular to the field of information processing, wherein the system comprises an information acquisition module, an analysis and evaluation module, a program analysis module and a program analysis module, wherein the information acquisition module is used for acquiring key elements of a project proposal and the byte number of the key elements, and the analysis and evaluation module is used for screening preset proposal templates according to the key elements of the project proposal so as to screen matched proposal templates; the adjusting module is used for adjusting the screening process of the preset proposal template; the proposal generation module is used for generating project proposal according to the screened preset proposal template, pushing the project proposal to a user, and the interactive feedback module is used for optimizing the screening process of the preset proposal template according to the feedback result of the user. According to the proposal information processing system provided by the invention, the key elements of the acquired project proposal and the matching process of the preset proposal template are controlled, so that the proposal information processing efficiency can be improved.
Description
Technical Field
The present invention relates to the field of information processing technologies, and in particular, to a proposed information processing system and method.
Background
The proposal information processing is to use information processing technology means to obtain the matching rate of each key element and the proposal template provided by the system, so that the proposal information processing efficiency can be improved.
With the popularity of the internet, the internet of things, and various information systems, a large amount of data is generated and recorded. Enterprises, organizations, and individuals face vast amounts of data that need to be processed and utilized efficiently to obtain valuable information and insight.
Chinese patent publication No.: CN115885136a discloses a proposal method, which comprises an acquisition part (third acquisition part (132)) that acquires user information about a user who uses a room (98); and a proposal unit (133) that proposes a proposal for a method of using the room (98) based on the acquired user information, wherein the proposal unit (133) calculates the probability of infection of the user by the infectious object based on the number of users in the room (98) and the time of use in the room (98) contained in the user information, and proposes a proposal for a method of using the infectious object such that the probability of infection is lower than the upper limit of the probability of infection when the calculated probability of infection exceeds the upper limit of the probability of infection; it follows that the proposed method has the following problems: the method proposes that the information processing efficiency is low.
Disclosure of Invention
Therefore, the invention provides a proposal information processing system and a proposal information processing method, which are used for solving the problem of low proposal information processing efficiency in the prior art.
In order to achieve the above object, the present invention provides an information processing system, comprising,
the information acquisition module is used for acquiring key elements of the project proposal and the byte number of the key elements;
the analysis and evaluation module is used for screening the preset proposal templates according to key elements of the project proposal to screen out matched proposal templates, and is provided with a name matching unit which is used for matching the project names in the key elements with the project names of the preset proposal templates, calculating the matching coefficients of the project names of the preset proposal templates and the project names of the project proposal, and taking the matching coefficients as name matching coefficients; the analysis and evaluation module is also provided with a budget matching unit which is used for matching the fund budget in the key element with the fund budget of the preset proposal template, calculating the matching coefficient of the fund budget of the preset proposal template and the fund budget of the project proposal, and taking the matching coefficient as the budget matching coefficient, and a technical matching unit which is used for matching the technical support in the key element with the technical support of the preset proposal template, calculating the matching coefficient of the technical support of the preset proposal template and the technical support of the project proposal, and taking the matching coefficient as the technical matching coefficient, and a recommendation coefficient calculating unit which is used for calculating the recommendation coefficient of the preset proposal template according to the matching coefficient of each key element and the preset proposal template;
The system comprises an adjustment module, a correction unit and a control module, wherein the adjustment module is used for adjusting the screening process of a preset proposal template, is provided with an adjustment unit and is used for calculating an adjustment coefficient according to the historical recommended times of the preset proposal template to adjust the recommended coefficient of the preset proposal template, and is also provided with the correction unit which is used for calculating a correction coefficient according to the actual use times of a user of the preset proposal template to correct the adjustment coefficient;
the proposal generating module is used for generating project proposals according to the screened preset proposal templates and pushing the project proposals to a user;
and the interactive feedback module is used for optimizing the screening process of the next preset proposal template according to the feedback result of the user.
Further, the name matching unit matches the acquired item name with the item name of the preset proposal template, and calculates a name matching coefficient, wherein:
when the item names are completely matched, the name matching unit sets a name matching coefficient to a1, and sets a1=1;
when the item names are partially matched, the name matching unit acquires the byte number m of the item names, sets a name matching coefficient as a2, sets a2=1- (m-2 n)/2×α, wherein α is a name compensation coefficient, 0 < α < 0.3, n is the byte number reduced when the acquired item names are completely matched with the item names of the preset proposal templates, and n is more than 1, and m-2n is more than or equal to 6;
When the item names do not match at all, the name matching unit sets the name matching coefficient to a3, and 0.ltoreq.a3 < 0.1 is set.
Further, the budget matching unit compares the acquired funds budget M1 with funds budget M2 of a preset proposal template, and calculates budget matching coefficients according to the comparison result, wherein:
when M1 is more than M2, the budget matching unit sets a budget matching coefficient as b1, and sets b1= [1- (M1-M2)/[ delta ] M ]. Times.β1, wherein [ delta ] M is a preset budget difference value, β1 is a first budget compensation coefficient, 0.8 is less than β1 and is less than 1, and when M1-M2 is more than or equal to [ delta ] M, M1-M2 takes a value as [ delta ] M;
when M1 is less than or equal to M2, the budget matching unit sets a budget matching coefficient as b2, and sets b2= [1- (M2-M1)/[ delta ] M ]. Times.beta.2, wherein beta.2 is a second budget compensation coefficient, and when M2-M1 is more than or equal to [ delta ] M, M2-M1 takes a value of [ delta ] M.
Further, the technology matching unit matches the acquired technical support with the technical support of the preset proposal template, and calculates a technology matching coefficient, wherein:
when the technical support is completely matched, the technical matching unit sets a technical matching coefficient to be c1, c1=1;
when the technical support is partially matched, the technical matching unit acquires the byte number p of the technical support, sets the technical matching coefficient as c2, sets c2=1- (p-2 q)/2×gamma, wherein gamma is the technical compensation coefficient, 0 < gamma < 0.4, q is the byte number reduced when the acquired technical support is completely matched with the technical support of the preset proposal template, and q is more than 1, and p-2q is more than or equal to 6;
When the technical support is not matched completely, the technical matching unit sets the technical matching coefficient as c3, and c3 is set to be more than or equal to 0 and less than 0.1.
Further, the recommendation coefficient calculating unit obtains the matching coefficient of each key element, calculates the recommendation coefficient T of the preset proposal template, and sets t=a h ×w1+b v ×w2+c g X w3, wherein h=1, 2,3; v=1, 2; g=1, 2,3; w1 is project name weight, w2 is funding budget weight, w3 is technical support weight, w1+w2+w3=1, and w1 > w2 is larger than or equal to w3.
Further, the adjusting unit obtains the historical recommended times y1 of the preset proposal template, compares the historical recommended times y1 with the preset standard recommended times y0, and calculates an adjusting coefficient e according to the comparison result j Adjusting a recommendation coefficient of a preset proposal template, wherein:
when y1 is more than y0, the adjusting unit sets the adjusting coefficient as e1, adjusts the recommended coefficient of the preset proposal template according to the adjusting coefficient, and sets e1=1+ (y 1-y 0)/y 1;
when y1 is less than or equal to y0, the adjusting unit sets the adjusting coefficient as e2, adjusts the recommended coefficient of the preset proposal template according to the adjusting coefficient, and sets e2=1- (y 1-y 0)/y 1;
the adjusting unit adjusts the recommendation coefficient of the preset proposal template according to the adjustment coefficient, the recommendation coefficient T1 of the adjusted preset proposal template is set as T1=Txe j J=1, 2 is set.
Further, the correction unit obtains the number of times z1 of the user using the preset proposal template, compares the number of times z1 with the number of times z0 of the preset standard use, and calculates a correction coefficient s according to the comparison result i Correcting the adjustment coefficient, wherein:
when z1 > z0, the correction means sets the correction coefficient to s1, and corrects the adjustment coefficient accordingly, and sets s1=1+ (z1-z0)/(z1+z0);
when z1 is less than or equal to z0, the correction unit sets a correction coefficient as s2, corrects the adjustment coefficient according to the correction coefficient, and sets s2=1- (z 1-z 0)/(z1+z0);
the correction unit corrects the adjustment coefficient according to the correction coefficient, and sets e '=e×s for the corrected adjustment coefficient e' =e×s i I=1, 2 is set.
Further, the proposal generating module compares the recommendation coefficient T1 of the preset proposal template with the preset standard recommendation coefficient T0, and performs pre-selection proposal template screening on the preset proposal template according to the comparison result, wherein:
when T1 is less than T0, the proposal generating module takes a preset proposal template as an invalid proposal template;
when T1 is more than or equal to T0, the proposal templates take preset proposal templates as preselect proposal templates, the proposal generation module acquires the quantity L of the preselect proposal templates and sorts the preselect proposal templates, if L is less than or equal to 3, the proposal generation module sorts the preselect proposal templates according to the sequence from large to small of the recommended coefficient, if L is more than 3, the proposal generation module screens out three preselect proposal templates with the highest recommended coefficient by a traversal comparison method and sorts the preselect proposal templates according to the sequence from large to small of the recommended coefficient, and the proposal generation module takes the sorted preselect proposal templates as project proposal and sequentially sets f1, f2 and f3.
Further, the interactive feedback module sets a correction coefficient k according to the feedback result of the user d Optimizing a screening process of a preset proposal template selected by a user in the next preset proposal template, wherein:
when the user selects the project proposal f1, the interactive feedback module does not perform optimization;
when the user selects the project proposal f2, the interactive feedback module sets a correction coefficient k1 to optimize the correction coefficient of the preset proposal template selected by the user in the next screening process, and sets 1.1 to be more than k1 to be more than 1;
when the user selects the project proposal f3, the interactive feedback module sets a correction coefficient k2 to optimize the correction coefficient of the preset proposal template selected by the user in the next screening process, and sets 1.2 to be more than k2 to be more than k1 to be more than 1;
the interactive feedback module sets the next correction coefficient of the preset proposal template selected by the optimized user as s i ' set s i ’＝s i ×k d ，d＝1,2。
In another aspect, the present invention also provides a method for proposal information processing, comprising,
step S1: acquiring key elements of the project proposal and byte numbers of the key elements;
step S2: screening preset proposal templates according to key elements of the project proposal to screen out matched proposal templates;
Step S3: adjusting the screening process of a preset proposal template;
step S4: generating a project proposal according to the screened preset proposal template, and pushing the project proposal to a user;
step S5: and optimizing the screening process of the next preset proposal template according to the feedback result of the user.
Compared with the prior art, the invention has the advantages that, in particular, the information acquisition module acquires key elements input by a user and byte numbers of the key elements, and matches with preset proposal templates on the basis, so as to improve accuracy of each matching coefficient, and further improve proposal information processing efficiency, the name matching unit optimizes a calculation process of the name matching coefficient by setting a name compensation coefficient alpha, so as to improve accuracy of the name matching coefficient, and further improve proposal information processing efficiency, the budget matching unit optimizes a calculation process of the budget matching coefficient by setting a compensation coefficient, so as to improve accuracy of the budget matching coefficient, and improves proposal information processing efficiency, the technical matching unit optimizes a calculation process of the time matching coefficient by setting a technical compensation coefficient gamma, so as to improve accuracy of the technical matching coefficient, and further improve proposal information processing efficiency, the recommendation coefficient calculation unit optimizes a calculation process of the recommendation coefficient by setting weights for each key element, so as to improve accuracy of the recommendation coefficient, and further improve proposal information processing efficiency, the adjustment unit optimizes a calculation process of the preset proposal matching coefficient by calculating an adjustment coefficient, so as to improve accuracy of the recommendation coefficient, and further improve the accuracy of the recommendation coefficient by setting an adjustment coefficient, so as to improve the adjustment coefficient, and further improve the accuracy of the recommendation coefficient by setting an adjustment coefficient, and optimizing a screening process by traversing a comparison method to improve the screening efficiency of the preset proposal template, thereby improving the proposal information processing efficiency, and setting a correction coefficient by the interactive feedback module according to a user feedback result to optimize the recommendation coefficient of the preset proposal template, thereby improving the proposal information processing efficiency.
Drawings
Fig. 1 is a schematic diagram showing the structure of an information processing system according to the present embodiment;
FIG. 2 is a schematic diagram of the analysis and evaluation module according to the present embodiment;
FIG. 3 is a schematic diagram of the adjusting module according to the present embodiment;
fig. 4 is a flow chart of an information processing method according to the present embodiment.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, a schematic diagram of an information processing system according to the present embodiment is provided, which includes,
the information acquisition module is used for acquiring key elements of the project proposal, the key elements of the project proposal are acquired through user interaction input, the byte number of the key elements comprises project names, fund budgets and technical support through the key elements, the technical support is specific technical support required by the environmental project proposal, it can be understood that the key element content is not specifically limited in the embodiment, and a person skilled in the art can set a time schedule, technical equipment and the like as key elements; in the embodiment, the acquisition mode of the key elements is not limited, and the acquisition requirement of the key elements is only required to be met;
the analysis and evaluation module is used for screening preset proposal templates according to key elements of the project proposal so as to screen out matched proposal templates, and is connected with the information acquisition module; in this embodiment, a plurality of preset proposal templates are provided, where the proposal template is a complete proposal and mainly includes main contents such as project names, problem statement, method steps, fund budget, expected achievements, technical support, risk management, etc.;
The adjusting module is used for adjusting the screening process of the preset proposal template;
the proposal generating module is used for generating project proposals according to the screened preset proposal templates and pushing the project proposals to a user, and the proposal generating module is connected with the adjusting module;
and the interactive feedback module is used for optimizing the screening process of the preset proposal template according to the feedback result of the user and is connected with the proposal generating module.
Specifically, the system in this embodiment is applied to proposal information processing for environmental protection projects, and the matching degree of the system recommending preset proposal templates is improved by controlling the matching process of the key elements of the acquired project proposal and the preset proposal templates.
Fig. 2 is a schematic structural diagram of an analysis and evaluation module according to the present embodiment, where the analysis and evaluation module includes,
the name matching unit is used for matching the project names in the key elements with the project names of the preset proposal templates, calculating the matching coefficients of the project names of the preset proposal templates and the project names of the project proposals, and taking the matching coefficients as name matching coefficients;
the budget matching unit is used for matching the fund budget in the key element with the fund budget of the preset proposal template, calculating the matching coefficient of the fund budget of the preset proposal template and the fund budget of the project proposal, taking the matching coefficient as a budget matching coefficient, and connecting the budget matching unit with the name matching unit;
The technical matching unit is used for matching the technical support in the key element with the technical support of the preset proposal template, calculating the matching coefficient of the technical support of the preset proposal template and the technical support of the project proposal, and taking the matching coefficient as the technical matching coefficient, wherein the technical matching unit is connected with the budget matching unit;
the recommendation coefficient calculation unit is used for calculating the recommendation coefficient of the preset proposal template according to the matching coefficient of each key element and the preset proposal template, and is connected with the technical matching unit.
Fig. 3 is a schematic structural diagram of an adjustment module according to the present embodiment, where the adjustment module includes,
the adjusting unit is used for calculating an adjusting coefficient according to the historical recommended times of the preset proposal template to adjust the recommended coefficient of the preset proposal template;
the correction unit is used for calculating a correction coefficient according to the actual use times of a user of the preset proposal template to correct the adjustment coefficient, and is connected with the adjustment unit.
Specifically, the proposal information processing system according to the embodiment is used for processing proposal information of an environmental protection project, the proposal of the environmental protection project mainly comprises main contents such as project names, problem statement, method steps, fund budget, expected achievements, technical support, risk management and the like.
Specifically, the information acquisition module acquires key elements input by a user, including project names, fund budgets and technical support, and matches with a preset proposal template on the basis of the project names, so as to improve accuracy of each matching coefficient, and further improve proposal information processing efficiency, and accordingly improve proposal information processing efficiency, the name matching unit optimizes a calculation process of the name matching coefficient by setting a name compensation coefficient alpha, so as to improve accuracy of the name matching coefficient, and further improve proposal information processing efficiency, the budget matching unit optimizes a calculation process of the budget matching coefficient by setting a compensation coefficient, so as to improve accuracy of the budget matching coefficient, and further improve proposal information processing efficiency, the technical matching unit optimizes a calculation process of the time matching coefficient by setting a technical compensation coefficient gamma, so as to improve accuracy of the technical matching coefficient, and further improve proposal information processing efficiency, the recommendation coefficient calculation unit optimizes a calculation process of the recommendation coefficient by setting weights for each key element, so as to improve accuracy of the recommendation coefficient, and further improve proposal information processing efficiency, and the adjustment unit adjusts the preset template by calculating an adjustment coefficient, so as to improve accuracy of the recommendation coefficient, thereby improve the recommendation coefficient, and further improve the accuracy of the recommendation coefficient by setting adjustment coefficient, and optimizing a screening process by traversing a comparison method to improve the screening efficiency of the preset proposal template, thereby improving the proposal information processing efficiency, and setting a correction coefficient by the interactive feedback module according to a user feedback result to optimize the recommendation coefficient of the preset proposal template, thereby improving the proposal information processing efficiency.
Specifically, the name matching unit matches the acquired item name with the item name of the preset proposal template, and calculates a name matching coefficient, wherein:
when the item names are completely matched, the name matching unit sets a name matching coefficient to a1, and sets a1=1;
when the item names are partially matched, the name matching unit acquires the byte number m of the item names, sets a name matching coefficient as a2, sets a2=1- (m-2 n)/2×α, wherein α is a name compensation coefficient, 0 < α < 0.3, n is the byte number reduced when the acquired item names are completely matched with the item names of the preset proposal templates, and n is more than 1, and m-2n is more than or equal to 6;
when the item names do not match at all, the name matching unit sets the name matching coefficient to a3, and 0.ltoreq.a3 < 0.1 is set.
Specifically, the value of the name compensation coefficient α is not specifically limited in the present embodiment, and a person skilled in the art can freely set the value of the name compensation coefficient α only by satisfying the method of the value of the name compensation coefficient α, wherein the optimal value of α is 0.1, when α=0.1 and the number of bytes of the project name m=10, n=1, at this time, the name matching coefficient a2=1- (10-2×1) ×0.1=0.8, and the value of the name matching coefficient a3 is not specifically limited in the present embodiment, and the person skilled in the art can freely set the value of the name compensation coefficient α only by satisfying the method of the value of the name matching coefficient a3, wherein the optimal value of a3 is 0.05; the number of bytes of the project name in this embodiment may be obtained by analyzing the number of bytes of the project name, the name matching unit matches the obtained project name with the project name of the proposal template by reducing the number of bytes, and the name matching coefficient is reduced by α every two bytes until the obtained project name is completely contained in the project name of the preset proposal template, which can be understood that in this embodiment, the number of bytes of each reduced acquired project name is not specifically limited, and those skilled in the art may also set 4 bytes each reduced; the acquired project names are completely matched with the project names of the proposal templates when the acquired project names are completely consistent with the project names of the proposal templates, only part of the acquired project names are partially matched with the project names of the proposal templates, and the acquired project names are completely not matched with the project names when the acquired project names are completely inconsistent with the project names of the proposal templates; the name matching unit optimizes the name matching coefficient by setting the name compensation coefficient alpha according to the byte number of which the project names are reduced after complete matching, and the optimized part of the name matching coefficient is within a reasonable range by setting the optimal value of the name compensation coefficient, so that the accuracy of the name matching coefficient is improved, and the information processing efficiency of proposal is improved.
Specifically, the budget matching unit compares the acquired funds budget M1 with funds budget M2 of a preset proposal template, and calculates budget matching coefficients according to the comparison result, wherein:
when M1 is more than M2, the budget matching unit sets a budget matching coefficient as b1, and sets b1= [1- (M1-M2)/[ delta ] M ]. Times.β1, wherein [ delta ] M is a preset budget difference value, β1 is a first budget compensation coefficient, 0.8 is less than β1 and is less than 1, and when M1-M2 is more than or equal to [ delta ] M, M1-M2 takes a value as [ delta ] M;
when M1 is less than or equal to M2, the budget matching unit sets a budget matching coefficient as b2, and sets b2= [1- (M2-M1)/[ delta ] M ]. Times.beta.2, wherein beta.2 is a second budget compensation coefficient, and when M2-M1 is more than or equal to [ delta ] M, M2-M1 takes a value of [ delta ] M.
Specifically, in combination with the actual further explanation, in this embodiment, the optimal value of the first compensation coefficient β1 is 0.9, when the obtained fund budget is higher than the fund budget of the preset template, the budget matching coefficient is reduced by setting the first compensation coefficient, and by verifying that the optimal value of β1 is 0.9 through a large amount of data, if the obtained fund budget M1 is 50000, the fund budget M2 of the preset proposal template is 40000, the preset budget difference Δm is 20000, β1=0.9, b1= [1- (50000-40000)/20000 ] ×0.9=0.55; the optimal value of the second compensation coefficient β2 is 1.1, if the acquired fund budget M1 is 40000, the fund budget M2 of the preset proposal template is 50000, the preset budget difference Δm is 20000, and when β2=1.1, b1= [1- (50000-40000)/20000 ] ×1.1=0.45; when the acquired fund budget is lower than the fund budget of the preset template, the budget matching coefficient is increased by setting a second compensation coefficient, and the optimal value of beta 2 is verified to be 1.1 through a large amount of data; the budget matching unit optimizes the budget matching coefficient by setting a first budget compensation coefficient for the acquired funds budget exceeding the preset proposal template funds so as to reduce the influence of the exceeded budgets on the budget matching coefficient, and optimizes the budget matching coefficient by setting a second budget compensation coefficient for the acquired funds budget lower than the preset proposal template funds so as to reduce the influence of the lower budgets on the budget matching coefficient, thereby improving the accuracy of the budget matching coefficient and further improving the proposal information processing efficiency.
Specifically, the technology matching unit matches the acquired technical support with the technical support of the preset proposal template, and calculates a technology matching coefficient, wherein:
when the technical support is completely matched, the technical matching unit sets a technical matching coefficient to be c1, c1=1;
when the technical support is partially matched, the technical matching unit acquires the byte number p of the technical support, sets the technical matching coefficient as c2, sets c2=1- (p-2 q)/2×gamma, wherein gamma is the technical compensation coefficient, 0 < gamma < 0.4, q is the byte number reduced when the acquired technical support is completely matched with the technical support of the preset proposal template, and q is more than 1, and p-2q is more than or equal to 6;
when the technical support is not matched completely, the technical matching unit sets the technical matching coefficient as c3, and c3 is set to be more than or equal to 0 and less than 0.1.
Specifically, in combination with practical further explanation, the technical compensation coefficient γ is not specifically limited, and a person skilled in the art can freely set the method, and only needs to satisfy the method for selecting the technical compensation coefficient γ, where the optimal value of γ is 0.2, when γ=0.2, and the number p of bytes of the project name is 10, and q is 1, at this time, the technical matching coefficient c2=1- (10-2×1)/2×0.2=0.2, and the value of the technical matching coefficient c3 is not specifically limited, and a person skilled in the art can freely set the method, and only needs to satisfy the method for selecting the technical matching coefficient c3, where the optimal value of c3 is 0.05; the number of bytes of the technical support in this embodiment may be obtained by analyzing the number of words of the technical support, the technical matching unit matches the obtained technical support with the technical support of the proposal template by reducing the number of bytes, and if the technical matching unit reduces two bytes, the technical matching coefficient reduces γ until the technical matching coefficient is completely included in the technical support of the preset proposal template, it may be understood that in this embodiment, the number of bytes of each reduction of the obtained technical support is not specifically limited, and those skilled in the art may also set 4 bytes each reduction, etc.; the technical support is completely matched when the acquired technical support is completely consistent with the technical support of the proposal template, the technical support is only partially matched when the acquired technical support is partially consistent with the technical support of the proposal template, and the technical support is completely unmatched when the acquired technical support is completely inconsistent with the technical support of the proposal template; the technical matching unit sets the technical compensation coefficient gamma to optimize the matching coefficient through the technical support reduced byte number after complete matching, and the optimized part of the technical matching coefficient is in a reasonable range through setting the optimal value of the technical compensation coefficient, so that the accuracy of the technical matching coefficient is improved, and the information processing efficiency is improved.
Specifically, the recommendation coefficient calculating unit obtains the matching coefficient of each key element, calculates the recommendation coefficient T of the preset proposal template, and sets t=a h ×w1+b v ×w2+c g X w3, wherein h=1, 2,3; v=1, 2; g=1, 2,3; w1 is project name weight, w2 is funding budget weight, w3 is technical support weight, w1+w2+w3=1, and w1 > w2 is larger than or equal to w3.
Specifically, in combination with practical further explanation, in this embodiment, values of the project name weight w1, the fund budget weight w2 and the technical support weight w3 are not specifically limited, and can be freely set by a person skilled in the art, and only the condition that w1+w2+w3=1 needs to be satisfied is satisfied, wherein the optimal value of the project name weight w1 is 2/3, the optimal value of the fund budget weight w2 is 1/6, and the optimal value of the technical support weight w3 is 1/6; in this embodiment, as will be a h ＝0.9，b v ＝0.6，c g When w1=2/3, w2=1/3, w3=1/3, t=0.9×2/3+0.6x1/3+0.3×1/3=0.9; the recommendation coefficient calculation unit optimizes the calculation process of the recommendation coefficient by setting weights for the key elements, the weights of the project names in the key elements are higher than the fund budget and the technical support, and the calculation of the recommendation coefficient is more reasonable by setting the corresponding weights, so that the accuracy of the recommendation coefficient is improved, and the proposal information processing efficiency is further improved.
Specifically, the adjusting unit obtains the historical recommended times y1 of the preset proposal template, compares the historical recommended times y1 with the preset standard recommended times y0, and calculates an adjusting coefficient e according to the comparison result j Adjusting a recommendation coefficient of a preset proposal template, wherein:
when y1 > y0, the adjusting unit sets the adjusting coefficient to be e1, adjusts the recommended coefficient of the preset proposal template according to the adjusting coefficient, and sets e1=1+ (y 1-y 0)/y 1;
when y1 is less than or equal to y0, the adjusting unit sets the adjusting coefficient as e2, adjusts the recommended coefficient of the preset proposal template according to the adjusting coefficient, and sets e2=1- (y 1-y 0)/y 1;
the adjusting unit adjusts the recommendation coefficient of the preset proposal template according to the adjustment coefficient, the recommendation coefficient T1 of the adjusted preset proposal template is set as T1=Txe j J=1, 2 is set.
Specifically, in this embodiment, when the history recommended number y1 is set to 10 and the preset standard recommended number y0 is set to 6, for example, and when t=0.9, the adjusted t1=1.4×0.9=1.26, e1=1+ (10-6)/10=1.4; in this embodiment, when the historical recommended number y1 is set to 6 and the preset standard recommended number y0 is set to 10, e2=1- (10-6)/10=0.6, and when t=0.9, the adjusted t1=0.6x0.9=0.54; the adjusting unit adjusts the recommendation coefficient by setting an adjusting coefficient through the historical recommendation times of the preset template so as to reduce the influence of factors of the historical recommendation times on the calculation process of the recommendation coefficient, thereby improving the accuracy of the recommendation coefficient and further improving the information processing efficiency of proposal.
Specifically, the correction unit obtains the number of times z1 of use of the preset proposal template, compares the number of times z1 of use with the number of times z0 of use of the preset standard, and calculates a correction coefficient s according to the comparison result i Correcting the adjustment coefficient, wherein:
when z1 > z0, the correction unit sets the correction coefficient to s1, and corrects the adjustment coefficient accordingly, and sets s1+ (z1-z0)/(z1+z0);
when z1 is less than or equal to z0, the correction unit sets the correction coefficient to s2, corrects the adjustment coefficient according to the correction coefficient, and sets s2=1- (z 1-z 0)/(z1+z0);
the correction unit corrects the adjustment coefficient according to the correction coefficient, and sets e '=e×s for the corrected adjustment coefficient e' =e×s i ,i＝1,2。
Specifically, in this embodiment, for example, when the number of times z1 of the user who obtains the preset proposal template is set to 10 and the number of times z0 of the preset standard is set to 6, s1=1+ (10-6)/(10+6) =1.25, and when e=0.8, e' =1.25×0.8=1; in this embodiment, for example, when the number of times z1 of the user obtaining the preset proposal template is set to 6 and the number of times z0 of the preset standard is set to 10, s1=1- (10-6)/(10+6) =0.75, and when e=0.8, e' =0.75x0.8=0.6; the correction unit corrects the adjustment coefficient through the number of times of the preset template actually used by the user so as to reduce the influence of the factor of the number of times of the preset template actually used by the user on the adjustment coefficient, thereby improving the accuracy of the adjustment coefficient and further improving the proposal information processing efficiency.
Specifically, the proposal generating module compares a recommendation coefficient T1 of a preset proposal template with a preset standard recommendation coefficient T0, and performs pre-selection proposal template screening on the preset proposal template according to a comparison result, wherein:
when T1 is less than T0, the proposal generating module takes a preset proposal template as an invalid proposal template;
when T1 is more than or equal to T0, the proposal templates take preset proposal templates as preselect proposal templates, the proposal generation module acquires the quantity L of the preselect proposal templates and sorts the preselect proposal templates, if L is less than or equal to 3, the proposal generation module sorts the preselect proposal templates according to the sequence from large to small of the recommended coefficient, if L is more than 3, the proposal generation module screens out three preselect proposal templates with the highest recommended coefficient by a traversal comparison method and sorts the preselect proposal templates according to the sequence from large to small of the recommended coefficient, and the proposal generation module takes the sorted preselect proposal templates as project proposal and sequentially sets f1, f2 and f3.
Specifically, the traversal comparison method uses a similar selection ordering method, and when traversing the recommendation coefficient list of the preselected proposal templates, the recommendation coefficients of the current maximum three preselected proposal templates are recorded. In the traversing process, comparing the magnitude relation between the current pre-selected proposal template recommendation coefficient and the maximum three pre-selected proposal template recommendation coefficients, if the magnitude relation is larger than any value, updating the maximum three pre-selected proposal template recommendation coefficients, wherein it is understood that the method for screening the pre-selected proposal template recommendation coefficients is not specifically limited in the field, other methods can be set by the person in the field to screen, the screening requirements of the pre-selected proposal template recommendation coefficients only need to be met, the proposal generation module compares the preset proposal template recommendation coefficients with the calculated proposal template recommendation coefficients to screen out the pre-selected proposal template, and the screening process of the pre-selected proposal template is optimized by traversing the comparison method, so that the screening efficiency of the preset proposal template is improved, and the information processing efficiency of the proposal is improved.
Specifically, the interactive feedback module sets a correction coefficient k according to the feedback result of the user d Optimizing a screening process of a preset proposal template selected by a user in the next preset proposal template, wherein:
when the user selects the project proposal f1, the interactive feedback module does not perform optimization;
when the user selects the project proposal f2, the interactive feedback module sets a correction coefficient k1 to optimize the correction coefficient of the preset proposal template selected by the user in the next screening process, and sets 1.1 to be more than k1 to be more than 1;
when the user selects the project proposal f3, the interactive feedback module sets a correction coefficient k2 to optimize the correction coefficient of the preset proposal template selected by the user in the next screening process, and sets 1.2 to be more than k2 to be more than k1 to be more than 1;
the interactive feedback module sets the next correction coefficient of the preset proposal template selected by the optimized user as s i ' set s i ’＝s i ×k d ，d＝1,2。
Specifically, in connection with the further practical description, the correction coefficient k1 is not specifically limited in this embodiment, and the person skilled in the art can freely set the correction coefficient k1 only by satisfying the method for the correction coefficient k1, where the optimal value of k1 is 1.05, if the correction coefficient s is to be corrected i Let 0.6 and k1 be 1.05, s at this time i ' 0.6x1.05=0.63; in this embodiment, the correction coefficient k2 is not specifically limited, and can be freely set by a person skilled in the art, and only the correction coefficient k2 is required to be valued, wherein the optimal value of k2 is 1.15, if the correction coefficient s is to be corrected i Let 0.6 and k2 be 1.15, s i ' 0.6x1.15=0.69; the intersection ofThe mutual feedback module sets a correction coefficient according to a user feedback result to optimize the correction coefficient of the next preset proposal template selected by the user so as to reduce the influence of the influence factor of the template actually selected by the user on the correction coefficient, thereby improving the accuracy of the correction coefficient and further improving the proposal information processing efficiency.
Referring to fig. 4, a flow chart of an information processing method according to the present embodiment is provided, where the method includes:
step S1: acquiring key elements of the project proposal and byte numbers of the key elements;
step S2: screening preset proposal templates according to key elements of the project proposal to screen out matched proposal templates;
step S3: adjusting the screening process of a preset proposal template;
step S4: generating a project proposal according to the screened preset proposal template, and pushing the project proposal to a user;
Step S5: and optimizing the screening process of the next preset proposal template according to the feedback result of the user.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
Claims (6)
1. A proposed information processing system, characterized by comprising,
the information acquisition module is used for acquiring key elements of the project proposal;
the analysis and evaluation module is used for screening the preset proposal templates according to key elements of the project proposal to screen out matched proposal templates, and is provided with a name matching unit which is used for matching the project names in the key elements with the project names of the preset proposal templates, calculating the matching coefficients of the project names of the preset proposal templates and the project names of the project proposal, and taking the matching coefficients as name matching coefficients; the analysis and evaluation module is also provided with a budget matching unit which is used for matching the fund budget in the key element with the fund budget of the preset proposal template, calculating the matching coefficient of the fund budget of the preset proposal template and the fund budget of the project proposal, and taking the matching coefficient as the budget matching coefficient, and a technical matching unit which is used for matching the technical support in the key element with the technical support of the preset proposal template, calculating the matching coefficient of the technical support of the preset proposal template and the technical support of the project proposal, and taking the matching coefficient as the technical matching coefficient, and a recommendation coefficient calculating unit which is used for calculating the recommendation coefficient of the preset proposal template according to the matching coefficient of each key element and the preset proposal template;
The system comprises an adjustment module, a correction unit and a control module, wherein the adjustment module is used for adjusting the screening process of a preset proposal template, is provided with an adjustment unit and is used for calculating an adjustment coefficient according to the historical recommended times of the preset proposal template to adjust the recommended coefficient of the preset proposal template, and is also provided with the correction unit which is used for calculating a correction coefficient according to the actual use times of a user of the preset proposal template to correct the adjustment coefficient;
the proposal generating module is used for generating project proposals according to the screened preset proposal templates and pushing the project proposals to a user;
the interactive feedback module is used for optimizing the screening process of the next preset proposal template according to the feedback result of the user;
the name matching unit matches the acquired project name with the project name of the preset proposal template, and calculates a name matching coefficient, wherein:
when the item names are completely matched, the name matching unit sets a name matching coefficient to a1, and sets a1=1;
when the item names are partially matched, the name matching unit acquires the byte number m of the item names, sets a name matching coefficient as a2, sets a2=1- (m-2 n)/2×α, wherein α is a name compensation coefficient, 0 < α < 0.3, n is the byte number reduced when the acquired item names are completely matched with the item names of the preset proposal templates, and n is more than 1, and m-2n is more than or equal to 6;
When the item names are not matched at all, the name matching unit sets a name matching coefficient as a3, and a3 is set to be more than or equal to 0 and less than 0.1;
the budget matching unit compares the acquired funds budget M1 with funds budget M2 of a preset proposal template, and calculates budget matching coefficients according to the comparison result, wherein:
when M1 is more than M2, the budget matching unit sets a budget matching coefficient as b1, and sets b1= [1- (M1-M2)/[ delta ] M ]. Times.β1, wherein [ delta ] M is a preset budget difference value, β1 is a first budget compensation coefficient, 0.8 is less than β1 and is less than 1, and when M1-M2 is more than or equal to [ delta ] M, M1-M2 takes a value as [ delta ] M;
when M1 is less than or equal to M2, the budget matching unit sets a budget matching coefficient as b2, and sets b2= [1- (M2-M1)/[ delta ] M ]. Times.beta.2, wherein beta.2 is a second budget compensation coefficient, and when M2-M1 is more than or equal to [ delta ] M, M2-M1 takes a value as [ delta ] M;
the technical matching unit matches the acquired technical support with the technical support of the preset proposal template and calculates a technical matching coefficient, wherein:
when the technical support is completely matched, the technical matching unit sets a technical matching coefficient to be c1, c1=1;
when the technical support is partially matched, the technical matching unit acquires the byte number p of the technical support, sets the technical matching coefficient as c2, sets c2=1- (p-2 q)/2×gamma, wherein gamma is the technical compensation coefficient, 0 < gamma < 0.4, q is the byte number reduced when the acquired technical support is completely matched with the technical support of the preset proposal template, and q is more than 1, and p-2q is more than or equal to 6;
When the technical support is completely unmatched, the technical matching unit sets a technical matching coefficient as c3, and c3 is set to be more than or equal to 0 and less than 0.1;
the recommendation coefficient calculation unit obtains the matching coefficient of each key element, calculates the recommendation coefficient T of a preset proposal template, and sets T=a h ×w1+b v ×w2+c g X w3, wherein h=1, 2,3; v=1, 2; g=1, 2,3; w1 is a project name weight, w2 is a funding budget weight, w3 is a technical support weight, w1+w2+w3=1, w1 > w2 is greater than or equal to w3.
2. The proposal information processing system according to claim 1, wherein the adjusting unit obtains a history recommended number y1 of preset proposal templates, compares it with a preset standard recommended number y0, and calculates the adjustment coefficient e based on the comparison result j Adjusting a recommendation coefficient of a preset proposal template, wherein:
when y1 is more than y0, the adjusting unit sets the adjusting coefficient as e1, adjusts the recommended coefficient of the preset proposal template according to the adjusting coefficient, and sets e1=1+ (y 1-y 0)/y 1;
when y1 is less than or equal to y0, the adjusting unit sets the adjusting coefficient as e2, adjusts the recommended coefficient of the preset proposal template according to the adjusting coefficient, and sets e2=1- (y 1-y 0)/y 1;
the adjusting unit adjusts the recommendation coefficient of the preset proposal template according to the adjustment coefficient, the recommendation coefficient T1 of the adjusted preset proposal template is set as T1=Txe j J=1, 2 is set.
3. The proposal information processing system according to claim 2, wherein the correction unit acquires the number of times z1 of use of a preset proposal template by a user, compares it with the number of times z0 of use of a preset standard, and calculates the correction coefficient s based on the comparison result i Correcting the adjustment coefficient, wherein:
when z1 > z0, the correction means sets the correction coefficient to s1, and corrects the adjustment coefficient accordingly, and sets s1=1+ (z1-z0)/(z1+z0);
when z1 is less than or equal to z0, the correction unit sets a correction coefficient as s2, corrects the adjustment coefficient according to the correction coefficient, and sets s2=1- (z 1-z 0)/(z1+z0);
the correction unit corrects the adjustment coefficient according to the correction coefficient, and sets e '=e×s for the corrected adjustment coefficient e' =e×s i I=1, 2 is set.
4. The proposal information processing system according to claim 1, wherein the proposal generation module compares a recommendation coefficient T1 of a preset proposal template with a preset standard recommendation coefficient T0, and performs a pre-selection proposal template screening on the preset proposal template according to the comparison result, wherein:
when T1 is less than T0, the proposal generating module takes a preset proposal template as an invalid proposal template;
When T1 is more than or equal to T0, the proposal templates take preset proposal templates as preselect proposal templates, the proposal generation module acquires the quantity L of the preselect proposal templates and sorts the preselect proposal templates, if L is less than or equal to 3, the proposal generation module sorts the preselect proposal templates according to the sequence from large to small of the recommended coefficient, if L is more than 3, the proposal generation module screens out three preselect proposal templates with the highest recommended coefficient by a traversal comparison method and sorts the preselect proposal templates according to the sequence from large to small of the recommended coefficient, and the proposal generation module takes the sorted preselect proposal templates as project proposal and sequentially sets f1, f2 and f3.
5. The proposal information processing system of claim 4 wherein the interactive feedback module sets the correction factor k according to a user feedback result d Optimizing a screening process of a preset proposal template selected by a user in the next preset proposal template, wherein:
when the user selects the project proposal f1, the interactive feedback module does not perform optimization;
when the user selects the project proposal f2, the interactive feedback module sets a correction coefficient k1 to optimize the correction coefficient of the preset proposal template selected by the user in the next screening process, and sets 1.1 to be more than k1 to be more than 1;
When the user selects the project proposal f3, the interactive feedback module sets a correction coefficient k2 to optimize the correction coefficient of the preset proposal template selected by the user in the next screening process, and sets 1.2 to be more than k2 to be more than k1 to be more than 1;
the interactive feedback module will optimizeSetting the correction coefficient of the next preset proposal template selected by the user as s i ' set s i ’=s i ×k d ，d=1,2。
6. A proposal information processing method, which is applied to the proposal information processing system as claimed in any one of claims 1 to 5, comprises,
step S1: acquiring key elements of the project proposal and byte numbers of the key elements;
step S2: screening preset proposal templates according to key elements of the project proposal to screen out matched proposal templates;
step S3: adjusting the screening process of a preset proposal template;
step S4: generating a project proposal according to the screened preset proposal template, and pushing the project proposal to a user;
step S5: and optimizing the screening process of the next preset proposal template according to the feedback result of the user.
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| CN112395416A (en) * | 2020-11-11 | 2021-02-23 | 湖南正宇软件技术开发有限公司 | Proposal processing method, proposal processing device, computer equipment and storage medium |
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| CN112395416A (en) * | 2020-11-11 | 2021-02-23 | 湖南正宇软件技术开发有限公司 | Proposal processing method, proposal processing device, computer equipment and storage medium |
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