Library electronic resource efficiency evaluation method and system

Abstract

The invention provides a library electronic resource efficiency evaluation method and system, and relates to the technical field of electronic resource efficiency evaluation. The method comprises the steps of obtaining a main course name of a specialty opened by a college, and category information, text content and reference literature of electronic resources, accessing the reference literature to obtain an access result, determining an electronic resource integrity score according to the main course name, the category information and the access result, and sending the electronic resource integrity score to the college. An electronic resource utilization efficiency score is determined according to the number of users of electronic resources of a library in a preset use time period and the reading amount and downloading amount of each electronic resource, an electronic resource cost score is further determined according to the use cost of each electronic resource in a plurality of historical time periods, and then the electronic resource utilization efficiency is improved according to the multi-aspect scores. And determining an electronic resource efficiency score so as to obtain a library electronic resource efficiency evaluation report. And the comprehensiveness and the accuracy of the evaluation result are improved by comprehensively evaluating the resource integrity, the use cost and the resource utilization rate.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular, to a method and system for evaluating the effectiveness of library electronic resources. Background Art

[0002] Currently, related technologies mainly focus on evaluating the value of a single electronic resource and can improve the efficiency of resource retrieval. However, with the development of the times, the electronic resources in various majors are constantly updated and iterated, and more and more electronic resources lag behind the times, resulting in the accumulation of electronic resource databases, increasing the use cost and reducing the utilization efficiency of electronic resources.

[0003] The information disclosed in the background art section of this application is only intended to deepen the understanding of the general background art of this application, and should not be regarded as an admission or any form of suggestion that this information constitutes the prior art known to those skilled in the art. Summary of the Invention

[0004] The present invention provides a method and system for evaluating the effectiveness of library electronic resources, which can solve the technical problem of low utilization rate of library electronic resources.

[0005] According to a first aspect of the present invention, a method is provided, including:

[0006] Obtain the names of the core courses of the majors offered by the institution and the category information of the electronic resources in the library;

[0007] Read the text content of each electronic resource, determine the cited references of each electronic resource, and access the cited references of each electronic resource to obtain an access result;

[0008] Determine the electronic resource integrity score according to the core course name, the category information and the access result;

[0009] Obtain the number of users of the electronic resources in the library during a preset usage period, as well as the reading volume and download volume of each electronic resource;

[0010] Determine the electronic resource utilization effectiveness score according to the number of users, the reading volume and the download volume;

[0011] Obtain the usage cost of each electronic resource in multiple historical time periods;

[0012] Determine the electronic resource cost score according to the usage cost;

[0013] Determine the electronic resource effectiveness score according to the electronic resource integrity score, the electronic resource utilization effectiveness score and the electronic resource cost score;

[0014] Obtain a library e - resource effectiveness evaluation report according to the e - resource effectiveness score.

[0015] According to a second aspect of the present invention, there is provided a library e - resource effectiveness evaluation system, including:

[0016] A first acquisition module, which acquires the names of the core courses of the majors offered by the institution and the category information of the library's e - resources;

[0017] A second acquisition module, which reads the text content of each e - resource, determines the cited literature of each e - resource, and accesses the cited literature of each e - resource to obtain an access result;

[0018] A first score determination module, which determines an e - resource integrity score according to the core course names, the category information, and the access result;

[0019] A third acquisition module, which acquires the number of users of the library's e - resources during a preset usage period, as well as the reading volume and download volume of each e - resource;

[0020] A second score determination module, which determines an e - resource utilization effectiveness score according to the number of users, the reading volume, and the download volume;

[0021] A fourth acquisition module, which acquires the usage costs of each e - resource in multiple historical time periods;

[0022] A third score determination module, which determines an e - resource cost score according to the usage costs;

[0023] A fourth score determination module, which determines an e - resource effectiveness score according to the e - resource integrity score, the e - resource utilization effectiveness score, and the e - resource cost score;

[0024] An evaluation report acquisition module, which obtains a library e - resource effectiveness evaluation report according to the e - resource effectiveness score.

[0025] By adopting the above - mentioned technical solution, the present invention can achieve the following technical effects:

[0026] According to the present invention, the coverage rate of electronic resources for specialized courses can be determined based on the names of the core courses offered by institutions of higher learning and the category information of electronic resources. The cited documents of each electronic resource can be accessed to obtain the access results. Then, based on the coverage rate and the access results, the integrity score of the electronic resources can be determined. The utilization efficiency score of the electronic resources can also be determined based on the number of users of the electronic resources, as well as the reading volume and download volume of each electronic resource. In addition, the cost score of the electronic resources can be determined based on the usage costs of each electronic resource in multiple historical time periods. Thus, the effectiveness of the library's electronic resources can be evaluated from multiple aspects, including the integrity score, utilization efficiency score, and cost score of the electronic resources. By comprehensively evaluating the resource integrity, usage cost, and resource activity level, the comprehensiveness and accuracy of the evaluation results can be improved. When determining the integrity score of the electronic resources, the semantic vectors of the core courses and the category semantic vectors can be obtained through a semantic recognition model. Then, by combining the citation times of each cited document and the access results, the average coverage rate of the core courses and the weighted average coverage rate of the cited documents can be determined, and further the integrity score of the electronic resources can be determined. Moreover, the integrity degree of the library's electronic resources can be reflected from the coverage rate of each electronic resource for the core courses, the access success rate of the cited documents, the citation times of the cited documents, and the academic influence, making the integrity score of the electronic resources more objective and providing a data basis for the evaluation of the effectiveness of the library's electronic resources. When determining the utilization efficiency score of the electronic resources, the proportion of active users, the proportion of non-dormant resources, the proportion of relatively active electronic resources, the overall compliance rate of the loading speed, and the overall compliance rate of the download speed can be determined respectively, so as to determine the utilization efficiency score of the electronic resources. By combining multiple factors, the activity level of the electronic resources can be accurately identified and quantified, enabling the utilization efficiency score of the electronic resources to objectively and accurately reflect the utilization efficiency of the library's electronic resources and providing an accurate data basis for the update and iteration of the library's electronic resources. When determining the cost score of the electronic resources, the estimated increase in the usage cost of the electronic resources in the next time period can be obtained based on the usage costs between historical time periods, so as to determine the estimated usage cost of the electronic resources in the next time period. Then, by combining the depreciation cost of the electronic resource system, the estimated total cost of the library's electronic resources in the next time period can be determined. Through precise data analysis and historical cost comparison, a more accurate budget preparation basis can be provided, effectively reducing the budget deviation, leaving sufficient margin for cost estimation, enhancing the flexibility of cost calculation, improving the accuracy of the cost score of the electronic resources, and helping to improve the decision-making efficiency.

[0027] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit the present invention. Other features and aspects of the present invention will become clearer from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other embodiments can be obtained based on these drawings;

[0029] Figure 1 Exemplarily shown is a schematic flowchart of a method for evaluating the effectiveness of library electronic resources according to an embodiment of the present invention;

[0030] Figure 2 Exemplarily shown is a schematic diagram of a system for evaluating the effectiveness of library electronic resources according to an embodiment of the present invention. Detailed implementation manners

[0031] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0032] The following will specifically describe the technical solutions of the present invention with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

[0033] Figure 1 Exemplarily shown is a schematic flowchart of a method for evaluating the effectiveness of library electronic resources according to an embodiment of the present invention, and the method includes:

[0034] Step S101, obtaining the names of the core courses of the majors offered by the institution and the category information of the electronic resources in the library;

[0035] Step S102, reading the text content of each electronic resource, determining the cited documents of each electronic resource, and accessing the cited documents of each electronic resource to obtain an access result;

[0036] Step S103, determining an electronic resource integrity score according to the core course name, the category information, and the access result;

[0037] Step S104, obtaining the number of users of the electronic resources in the library during a preset usage period, as well as the reading volume and download volume of each electronic resource;

[0038] Step S105: Determine the utilization efficiency score of the electronic resources according to the number of users, the reading volume, and the download volume.

[0039] Step S106: Obtain the usage costs of each electronic resource in multiple historical time periods.

[0040] Step S107: Determine the cost score of the electronic resources according to the usage costs.

[0041] Step S108: Determine the efficiency score of the electronic resources according to the integrity score of the electronic resources, the utilization efficiency score of the electronic resources, and the cost score of the electronic resources.

[0042] Step S109: Obtain the evaluation report on the efficiency of the library's electronic resources according to the efficiency score of the electronic resources.

[0043] According to the method for evaluating the efficiency of library electronic resources of the present invention, the coverage rate of electronic resources for specialized courses can be determined based on the names of the core courses of the majors offered by the institutions of higher learning and the category information of the electronic resources, and the cited references of each electronic resource can be accessed to obtain the access results. Then, according to the coverage rate and the access results, the integrity score of the electronic resources can be determined. Also, based on the number of users of the electronic resources, as well as the reading volume and download volume of each electronic resource, the utilization efficiency score of the electronic resources can be determined, and according to the usage costs of each electronic resource in multiple historical time periods, the cost score of the electronic resources can be determined. Thus, the efficiency of the library's electronic resources can be evaluated from multiple aspects including the integrity score of the electronic resources, the utilization efficiency score of the electronic resources, and the cost score of the electronic resources. By comprehensively evaluating resource integrity, usage costs, and resource activity levels, the comprehensiveness and accuracy of the evaluation results can be improved.

[0044] According to an embodiment of the present invention, in step S101, the names of the core courses of the majors offered by the institutions of higher learning and the category information of the library's electronic resources are obtained; wherein, the names of the core courses are the names of the various courses of the various majors carried out by each institution of higher learning, and the category information of the library's electronic resources can be the title of a book or the professional field corresponding to the research direction of a thesis. For example, if the content of a thesis belongs to the field of mining engineering, then the category information of this thesis is determined to be mining engineering. The present invention does not impose any restrictions here.

[0045] According to an embodiment of the present invention, in step S102, the text content of each electronic resource is read, the cited references of each electronic resource are determined, and the cited references of each electronic resource are accessed to obtain the access results; wherein, the access results include successful access or failed access. If the access is successful, it means that the cited reference is also within the library's database. Conversely, if the access fails, it means that the cited reference is not within the library's database, thereby reflecting the integrity of the cited references in the library's database.

[0046] According to an embodiment of the present invention, in step S103, according to the main course name, the category information, and the access result, an electronic resource integrity score is determined, including: dividing the main course names according to professional categories to obtain groups of main course names corresponding to multiple professional categories; performing semantic recognition processing on the main course names in each group of main course names through a semantic recognition model to obtain main course semantic vectors of each main course name; performing semantic recognition processing on the category information of each electronic resource through the semantic recognition model to obtain category semantic vectors of the category information of each electronic resource; counting the cited references of the electronic resources to determine the citation times of each cited reference; and determining the electronic resource integrity score according to the main course semantic vectors, the category semantic vectors, the citation times of each cited reference, and the access result of each cited reference.

[0047] According to an embodiment of the present invention, according to the professional category to which the main course name belongs, the main course name is divided into the corresponding group of main course names. For example, if a same main course name is included in two different professional categories, the main course name is divided into the groups of main course names of the above two different professional categories. Through the semantic recognition model, semantic recognition processing is performed on the main course names in each group of main course names, that is, vectorization processing is performed on the feature information extracted from the main course names in each group of main course names to obtain the main course semantic vectors of each main course name. Similarly, through the semantic recognition model, semantic recognition processing is performed on the category information of each electronic resource to obtain the category semantic vectors of the category information of each electronic resource. For example, for the category information of a paper in the field of electronic information software, vectorization processing can be performed on the feature information extracted from the category information of the paper to obtain the category semantic vector. Among them, the semantic recognition model can be a recurrent neural network, and the present invention does not limit this. The cosine similarity of the above two vectors can be solved. If the above cosine similarity is relatively high, it can indicate that a relatively highly relevant electronic resource can be found for this main course. For example, if a certain major has 30 main courses and a relatively highly similar electronic resource can be found for each main course, it means that the library's electronic resources can cover all the main courses of this major. Count the cited references of the electronic resources to determine the citation times of each cited reference. The more the citation times, the more important the cited reference. Furthermore, according to the main course semantic vectors, the category semantic vectors, the citation times of each cited reference, and the access result of each cited reference, the electronic resource integrity score is determined.

[0048] According to an embodiment of the present invention, the access result includes access success or access failure; among them, according to the main course semantic vectors, the category semantic vectors, the citation times of each cited reference, and the access result of each cited reference, determining the electronic resource integrity score includes:

[0049] Determine the integrity score S of the electronic resource according to formula (1) C ,

[0050]

[0051] where V i,j is the main course semantic vector of the j-th main course name in the group of main course names corresponding to the i-th professional category, and V ca,k is the category semantic vector of the category information of the k-th electronic resource. (V i,j ) T is the transposed vector of V i,j , n is the number of electronic resources, max is the maximum value function, sim 1 is the preset first similarity threshold, if is the conditional function, n i is the number of main course names in the group of main course names corresponding to the i-th professional category, m is the number of professional categories, AC s is the access result of the s-th cited document. AC s = 1 indicates that the access result of the s-th cited document is successful access, n qu,s is the citation count of the s-th cited document, n qu,max is the maximum value of the citation counts of each cited document, N qu is the number of cited documents, w 1 and w 2 are preset weights, k ≤ n, j ≤ n i , i ≤ m, s ≤ N qu , and k, n, j, n i , i, m, s, and N qu are all positive integers.

[0052] According to an embodiment of the present invention, in formula (1), is the cosine similarity between the main course semantic vector of the j-th main course name in the group of main course names corresponding to the i-th professional category and the category semantic vector of the category information of the k-th electronic resource, means finding, from multiple category semantic vectors, the category semantic vector whose cosine similarity with the main course semantic vector of the j-th main course name in the group of main course names corresponding to the i-th professional category reaches the maximum value, and the cosine similarity between this category semantic vector and the main course semantic vector is greater than the preset first similarity threshold, which indicates that there is at least one electronic resource with a relatively high relevance to the j-th main course in the group of main course names corresponding to the i-th professional category. When the above conditions are met, is equal to 1, and conversely, is equal to 0. The proportion of backbone courses indicating the existence of matching electronic resources, for example, n i The quantity of i is 30. Among them, 28 backbone courses have matching electronic resources. Then The result of is If m is the quantity of professional categories, then represents the average coverage rate of electronic resources for backbone courses in each major. if(AC s = 1, 1, 0) represents the access result. If the access is successful, then if(AC s = 1, 1, 0) equals 1. On the contrary, if the access fails, if(AC s = 1, 1, 0) equals 0. is the ratio of the citation times of the s-th cited document to the maximum value of the citation times of the documents, thereby expressing the importance of the s-th cited document. The larger the ratio, the more important the s-th cited document is, and it can be used as the weight of each cited document. Therefore, is the weighted average of the access results for each cited document, representing the weighted average coverage rate of the cited documents. By summing the weighted average coverage rate of the above-mentioned backbone courses and the weighted average coverage rate of the cited documents, the integrity score of the electronic resources can be determined to represent the overall integrity of the electronic resources.

[0053] In this way, the semantic vectors of backbone courses and category semantic vectors can be obtained through the semantic recognition model. Then, by combining the citation times and access results of each cited document, the average coverage rate of backbone courses and the weighted average coverage rate of cited documents can be determined. Furthermore, the integrity score of the electronic resources can be determined. Moreover, the integrity of the library's electronic resources can be reflected from the coverage rate of electronic resources for each backbone course, the access success rate of cited documents, the citation times of cited documents, and the academic influence, making the integrity score of the electronic resources more objective and providing a data basis for the evaluation of the library's electronic resource efficiency.

[0054] According to the embodiment of the present invention, in step S104, the number of users of the library's electronic resources during the preset usage period is obtained, as well as the reading volume and download volume of each electronic resource. Among them, the number of users is the total number of registered students during the preset usage period. For example, the total number of registered students in the past year.

[0055] According to an embodiment of the present invention, in step S105, to determine the electronic resource utilization efficiency score based on the number of users, the reading volume, and the download volume, it includes: determining a first number of people whose usage times of the electronic resources in the library are greater than or equal to a preset number during a preset usage period; determining the number of electronic resources accessed during the preset usage period according to the reading volume; determining the size of each electronic resource; determining the average loading duration when reading an electronic resource; determining the average download duration when downloading an electronic resource; and determining the electronic resource utilization efficiency score based on the number of users, the first number of people, the reading volume, the average loading duration, the download volume, the average download duration, the size of the electronic resource, and the number of electronic resources accessed during the preset usage period.

[0056] According to an embodiment of the present invention, during a preset usage period, for example, the preset usage period can be one year, determine a first number of people whose usage times of the electronic resources in the library are greater than or equal to a preset number, that is, the active number of people using the electronic resources. According to the reading volume, determine the number of electronic resources accessed during the preset usage period, that is, when the reading volume of a certain electronic resource is not zero, this electronic resource is an accessed electronic resource. Further, the size of each electronic resource can be determined, the average loading duration when reading an electronic resource can be determined, and the average download duration when downloading an electronic resource can be determined. Among them, the ratio of the size of the electronic resource to the average loading duration is the actual loading speed when loading the electronic resource, and the ratio of the size of the electronic resource to the average download duration is the actual download speed when downloading the electronic resource. Then, based on the number of users, the first number of people, the reading volume, the average loading duration, the download volume, the average download duration, the size of the electronic resource, and the number of electronic resources accessed during the preset usage period, determine the electronic resource utilization efficiency score.

[0057] According to an embodiment of the present invention, to determine the electronic resource utilization efficiency score based on the number of users, the first number of people, the reading volume, the average loading duration, the download volume, the average download duration, the size of the electronic resource, and the number of electronic resources accessed during the preset usage period, it includes: determining the electronic resource utilization efficiency score S according to formula (2) U ,

[0058]

[0059] where N 1 is the first number of people, N U is the number of users, n is the number of electronic resources, n a is the number of electronic resources accessed during the preset usage period, N re,k is the reading volume of the kth electronic resource, Ndo,k is the download volume of the k-th electronic resource, N re,p is the preset number of readings, N do,p is the preset number of downloads, or is the logical operator "or", if is the conditional function, SI k is the size of the k-th electronic resource, Δt lo,k is the average loading duration of the k-th electronic resource, s lo,p is the preset loading speed, Δt do,k is the average download duration of the k-th electronic resource, s do,p is the preset download speed, w 3 , w 4 , w 5 , w 6 and w 7 are the preset weights, k ≤ n, and N 1 , n a , N re,k , N re,p , N do,k , N do,p , k, and n are all positive integers.

[0060] According to an embodiment of the present invention, in formula (2), is the ratio of the first number of people to the number of users, that is, it can represent the proportion of active people. can represent the proportion of the accessed electronic resources in the total number of electronic resources, and can represent the proportion of the non-dormant resources in the database. (N re,k ≥ N re,p ) indicates that the reading volume of the k-th electronic resource reaches the preset number of readings within the preset usage period, (N do,k ≥ N do,p ) indicates that the download volume of the k-th electronic resource reaches the preset number of downloads within the preset usage period, if[(N re,k ≥ N re,p ) or (N do,k ≥ N do,p ), 1, 0] indicates that when at least one of (N re,k ≥ N re,p ) or (N do,k ≥ N do,p ) is satisfied, the value of the conditional function is 1, otherwise it is 0. Therefore, can represent the proportion of electronic resources with a reading volume or a download volume reaching the preset amount, that is, the proportion of relatively active electronic resources. is the ratio between the size of the k-th electronic resource and the average loading duration, meaning the loading speed, is the ratio of the loading speed to the preset loading speed, and can be used as the compliance rate of the loading speed of this electronic resource. Further, The average value of the ratio of the loading speed of each electronic resource to the preset loading speed can be used as the overall compliance rate of the loading speed. Similarly, is the overall compliance rate of the download speed of each electronic resource. Then, a weighted sum of the above-mentioned proportion of active users, proportion of non-dormant resources, proportion of relatively active electronic resources, overall compliance rate of loading speed, and overall compliance rate of download speed is calculated to determine the electronic resource utilization efficiency score, which represents the overall utilization efficiency of the electronic resources.

[0061] In this way, the proportion of active users, proportion of non-dormant resources, proportion of relatively active electronic resources, overall compliance rate of loading speed, and overall compliance rate of download speed can be determined respectively, so as to determine the electronic resource utilization efficiency score. By combining multiple factors, the activity level of electronic resources can be accurately identified and quantified, enabling the electronic resource utilization efficiency score to objectively and accurately reflect the utilization efficiency of library electronic resources, providing an accurate data basis for the update and iteration of library electronic resources.

[0062] According to an embodiment of the present invention, in step S106, the usage costs of each electronic resource in multiple historical time periods are obtained, where the usage costs may include the copyright fees of the literature.

[0063] According to an embodiment of the present invention, in step S107, an electronic resource cost score is determined based on the usage costs.

[0064] According to an embodiment of the present invention, determining the electronic resource cost score based on the usage costs includes: determining the budget cost of the electronic resources; determining the electronic resource cost score based on the usage costs and the budget cost of the electronic resources. Among them, the budget cost of the electronic resources is the future usage budget of the electronic resources.

[0065] According to an embodiment of the present invention, determining the electronic resource cost score based on the usage costs and the budget cost of the electronic resources includes: determining the electronic resource cost score S according to formula (3) F ,

[0066]

[0067] where C k,0 is the usage cost of the k-th electronic resource in the current time period, C k,t is the usage cost of the k-th electronic resource in the t-th historical time period. When k = 0, C k,0 = C k,t ,C k,t+1 is the usage cost of the k-th electronic resource in the (t + 1)-th historical time period, H is the number of historical time periods, max is the maximum value function, n is the number of electronic resources, Cde is the depreciation cost of the electronic resource system, C bu is the budget cost of the electronic resource, where 0 ≤ t ≤ H - 1, k ≤ n, and t, H, k, and n are all integers.

[0068] According to an embodiment of the present invention, in formula (3), C k,t is the usage cost of the k-th electronic resource in the t-th historical period. Among them, the larger t is, the longer the time for the electronic resource to be included. For example, if the historical period is 1 year, t = 0 means the electronic resource was included this year, t = 1 means the electronic resource was included last year, and so on. Therefore, can represent the increase rate of the usage cost of the k-th electronic resource in the t-th historical period compared to the previous historical period. represents taking the maximum value of the price increase rates of the k-th electronic resource between each historical period. This maximum value can be used as the estimated increase rate of the usage cost of the k-th electronic resource in the next period. Using this maximum value to estimate the increase rate can leave sufficient margin for cost estimation and improve the flexibility of cost calculation. then represents the ratio of the usage cost of the k-th electronic resource in the next period to the usage cost of the k-th electronic resource in the current period. Therefore, is the estimated usage cost of the k-th electronic resource in the next period. Further, can represent the total estimated usage cost of all electronic resources in the next period. C de is the depreciation cost of the electronic resource system. For example, if the construction of the electronic resource system totals 100 million yuan and is expected to be used for 20 years, then the annual depreciation cost C de is 5 million yuan. Further, by adding the depreciation cost of the electronic resource system to the estimated usage cost of the electronic resource, the total estimated cost of the library's electronic resources in the next period can be obtained. Solving the ratio of this to the budget cost C bu and subtracting this ratio from 1 to determine the electronic resource cost score. The higher the electronic resource cost score, the more controllable the cost. When the electronic resource cost score is less than 0, it means that the total estimated cost of the library's electronic resources in the next period will exceed the budget cost, indicating that the total estimated cost of the electronic resources is too high and the cost needs to be appropriately reduced. For example, reducing the copyright cost of inactive electronic resources, etc.

[0069] In this way, based on the usage costs between historical time periods, the estimated increase in the usage cost of electronic resources for the next time period can be obtained, thereby determining the estimated usage cost of electronic resources for the next time period. Furthermore, by combining the depreciation cost of the electronic resource system, the estimated total cost of the library's electronic resources for the next time period can be determined. Through precise data analysis and comparison with historical costs, a more accurate basis for budget preparation can be provided, effectively reducing budget deviations, leaving sufficient margin for cost estimation, enhancing the flexibility of cost calculation, improving the accuracy of electronic resource cost scoring, and helping to improve decision-making efficiency.

[0070] According to an embodiment of the present invention, in step S109, based on the electronic resource effectiveness score, a library electronic resource effectiveness evaluation report is obtained. The library electronic resource effectiveness evaluation report is a text description report, which can be used to describe various aspects such as electronic resource integrity, electronic resource utilization effectiveness, and electronic resource cost, so as to comprehensively describe the effectiveness of electronic resources.

[0071] A method for evaluating the effectiveness of library electronic resources according to an embodiment of the present invention can determine the coverage rate of electronic resources for specialized courses based on the names of the core courses of the majors offered by the institutions of higher learning and the category information of the electronic resources, access the cited documents of each electronic resource to obtain access results, and then determine the integrity score of the electronic resources based on the coverage rate and access results. It can also determine the utilization efficiency score of the electronic resources based on the number of users of the electronic resources, as well as the reading volume and download volume of each electronic resource, and determine the cost score of the electronic resources according to the usage costs of each electronic resource in multiple historical time periods, so as to evaluate the effectiveness of the library electronic resources from multiple aspects including the integrity score of the electronic resources, the utilization efficiency score of the electronic resources, and the cost score of the electronic resources. By comprehensively evaluating resource integrity, usage cost, and resource activity level, the comprehensiveness and accuracy of the evaluation results are improved. When determining the integrity score of the electronic resources, the semantic vectors of the core courses and the semantic vectors of the categories can be obtained through a semantic recognition model, and then the average coverage rate of the core courses and the weighted average coverage rate of the cited documents can be determined by combining the citation times of each cited document and the access results, and then the integrity score of the electronic resources can be determined. Furthermore, the integrity degree of the library electronic resources can be reflected from the coverage rate of each electronic resource for the core courses, the access success rate of the cited documents, the citation times of the cited documents, and the academic influence, making the integrity score of the electronic resources more objective and providing a data basis for the evaluation of the effectiveness of the library electronic resources. When determining the utilization efficiency score of the electronic resources, the proportion of active users, the proportion of non-dormant resources, the proportion of relatively active electronic resources, the overall compliance rate of the loading speed, and the overall compliance rate of the download speed can be determined respectively, so as to determine the utilization efficiency score of the electronic resources. By combining multiple factors, the activity level of the electronic resources can be accurately identified and quantified, making the utilization efficiency score of the electronic resources objectively and accurately reflect the utilization efficiency of the library electronic resources and providing an accurate data basis for the update and iteration of the library electronic resources. When determining the cost score of the electronic resources, the estimated increase in the usage cost of the electronic resources in the next time period can be obtained according to the usage costs between historical time periods, so as to determine the estimated usage cost of the electronic resources in the next time period. Then, by combining the depreciation cost of the electronic resource system, the estimated total cost of the library electronic resources in the next time period can be determined. Through accurate data analysis and historical cost comparison, a more accurate budget preparation basis can be provided, effectively reducing the budget deviation, leaving sufficient margin for cost estimation, improving the flexibility of cost calculation, improving the accuracy of the cost score of the electronic resources, and helping to improve the decision-making efficiency.

[0072] Figure 2 Exemplarily, a schematic diagram of a library electronic resource effectiveness evaluation system according to an embodiment of the present invention is shown. The system includes:

[0073] The first acquisition module acquires the names of the core courses of the majors offered by the institution and the category information of the electronic resources in the library;

[0074] The second acquisition module reads the text content of each electronic resource, determines the cited documents of each electronic resource, and accesses the cited documents of each electronic resource to obtain an access result;

[0075] The first scoring determination module determines the integrity score of the electronic resources according to the core course names, the category information, and the access result;

[0076] The third acquisition module acquires the number of users of the electronic resources in the library during a preset usage period, as well as the reading volume and download volume of each electronic resource;

[0077] The second scoring determination module determines the utilization efficiency score of the electronic resources according to the number of users, the reading volume, and the download volume;

[0078] The fourth acquisition module acquires the usage costs of each electronic resource in multiple historical time periods;

[0079] The third scoring determination module determines the cost score of the electronic resources according to the usage costs;

[0080] The fourth scoring determination module determines the effectiveness score of the electronic resources according to the integrity score of the electronic resources, the utilization efficiency score of the electronic resources, and the cost score of the electronic resources;

[0081] The evaluation report acquisition module acquires an evaluation report on the effectiveness of the library's electronic resources according to the effectiveness score of the electronic resources.

[0082] The present invention may be a method, an apparatus, a system, and / or a computer program product. The computer program product may include a computer-readable storage medium having thereon computer-readable program instructions for performing various aspects of the present invention.

[0083] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The object of the present invention has been fully and effectively achieved. The functions and structural principles of the present invention have been shown and described in the embodiments, and the embodiments of the present invention may have any deformation or modification without departing from the principle.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A library electronic resource effectiveness evaluation method, characterized in that: include: Obtain the names of the core courses offered by the colleges and universities, as well as the category information of the electronic resources of the library; Read the text content of each electronic resource, determine the references of each electronic resource, and access the references of each electronic resource to obtain access results; Determine the electronic resource integrity score according to the main course name, the category information and the access result; Obtain the number of users of the library's electronic resources during the preset usage period, as well as the reading and downloading volume of each electronic resource; Determine the electronic resource utilization efficiency score according to the number of users, the reading volume and the download volume; Obtain the usage cost of each electronic resource in multiple historical time periods; determining an electronic resource cost score based on the usage cost; Determining an electronic resource efficiency score according to the electronic resource integrity score, the electronic resource utilization efficiency score and the electronic resource cost score; According to the electronic resource performance score, a library electronic resource performance evaluation report is obtained.

2. The method for evaluating the effectiveness of library electronic resources according to claim 1, characterized in that: Determine the electronic resource integrity score according to the main course name, the category information and the access result, including: According to the professional categories, the main course names are divided to obtain the main course name groups corresponding to multiple professional categories; Through the semantic recognition model, the main course names in each main course name group are processed with semantic recognition to obtain the main course semantic vectors of each main course name; Through the semantic recognition model, semantic recognition processing is performed on the category information of each electronic resource to obtain the category semantic vector of the category information of each electronic resource; Count the citations of electronic resources and determine the number of citations for each citation; The electronic resource integrity score is determined according to the main course semantic vector, the category semantic vector, the number of citations of each cited document, and the access result of each cited document.

3. The method for evaluating the effectiveness of library electronic resources according to claim 2, characterized in that: The access result includes access success or access failure; Wherein, the electronic resource integrity score is determined according to the main course semantic vector, the category semantic vector, the number of citations of each cited document, and the access result of each cited document, including: According to the formula Determine the electronic resource integrity score S C , where V i,j is the main course semantic vector of the jth main course name in the main course name group corresponding to the i-th professional category, V ca,k is the category semantic vector of the category information of the kth electronic resource, (V i,j ) T V i,j The transposed vector of n is the number of electronic resources, max is the maximum value function, sim1 is the preset first similarity threshold, if is the conditional function, n i is the number of main course names in the main course name group corresponding to the i-th professional category, m is the number of professional categories, AC s is the access result of the sth citation document, AC s =1 means the access result of the sth reference is successful, n qu,s is the number of citations of the s-th cited document, n qu,max is the maximum number of citations of each cited document, N qu is the number of cited documents, w1 and w2 are preset weights, k≤n, j≤n i , i≤m, s≤N qu , and k, n, j, n i , i, m, s, and N qu All are positive integers.

4. The method for evaluating the effectiveness of library electronic resources according to claim 1, characterized in that: Determine the electronic resource utilization efficiency score according to the number of users, the reading volume and the download volume, including: Determine the first number of people who have used the electronic resources of the library for a number of times greater than or equal to a preset number of times within a preset usage period; Determine the number of electronic resources accessed within a preset usage period according to the reading volume; Determine the electronic resource size of each electronic resource; Determine the average loading time when reading electronic resources; Determine the average download time when downloading electronic resources; An electronic resource utilization efficiency score is determined based on the number of users, the first number of people, the reading volume, the average loading time, the download volume, the average download time, the size of the electronic resources, and the number of electronic resources accessed within a preset usage period.

5. The method for evaluating the effectiveness of library electronic resources according to claim 4 is characterized in that: Determining an electronic resource utilization efficiency score according to the number of users, the first number of people, the reading volume, the average loading time, the download volume, the average download time, the size of the electronic resource, and the number of electronic resources accessed within a preset usage period includes: According to the formula Determine the electronic resource utilization effectiveness score S U , where N1 is the first number of people, N U is the number of users, n is the number of electronic resources, a N is the number of electronic resources accessed during the preset usage period. re,k is the reading volume of the kth electronic resource, N do,k is the download volume of the kth electronic resource, N re,p is the preset number of readings, N do,p is the preset number of downloads, or is the logical operator of "or", if is the conditional function, SI k is the electronic resource size of the kth electronic resource, Δt lo,k is the average loading time of the kth electronic resource, s lo,p is the preset loading speed, Δt do,k is the average downloading time of the kth electronic resource, s do,p is the preset download speed, w3, w4, w5, w6 and w7 are preset weights, k≤n, and N1, n a 、N re,k 、N re,p 、N do,k 、N do,p , k and n are all positive integers.

6. The method for evaluating the effectiveness of library electronic resources according to claim 1, characterized in that: Based on the stated usage costs, determine an e-resource cost score, including: Determine budget costs for electronic resources; An electronic resource cost score is determined based on the usage cost and the electronic resource budget cost.

7. The method for evaluating the effectiveness of library electronic resources according to claim 6, characterized in that: Determine an electronic resource cost score based on the usage cost and the electronic resource budget cost, including: According to the formula Determine the electronic resource cost score S F , where C k,0 is the cost of using the kth electronic resource in the current time period, C k,t is the cost of using the kth electronic resource in the tth historical period. When k = 0, C k,0 =C k,t , C k,t+1 is the cost of using the kth electronic resource in the t+1th historical time period, H is the number of historical time periods, max is the maximum value function, n is the number of electronic resources, C de is the depreciation cost of the electronic resource system, C bu is the budget cost of the electronic resource, 0≤t≤H-1, k≤n, and t, H, k and n are all integers.

8. A library electronic resource performance evaluation system, characterized in that: include: The first acquisition module obtains the names of the main courses of the majors offered by the colleges and the category information of the electronic resources of the library; The second acquisition module reads the text content of each electronic resource, determines the references of each electronic resource, and accesses the references of each electronic resource to obtain access results; A first score determination module determines the electronic resource integrity score according to the main course name, the category information and the access result; The third acquisition module acquires the number of users of the library's electronic resources within a preset usage period, as well as the reading and downloading volume of each electronic resource; A second score determination module determines the electronic resource utilization efficiency score according to the number of users, the reading volume and the download volume; The fourth acquisition module acquires the usage cost of each electronic resource in multiple historical time periods; A third score determination module determines an electronic resource cost score according to the usage cost; a fourth score determination module, which determines the electronic resource efficiency score according to the electronic resource integrity score, the electronic resource utilization efficiency score and the electronic resource cost score; The evaluation report obtaining module obtains the library electronic resource performance evaluation report according to the electronic resource performance score.

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