CN110765263B

CN110765263B - Display method and device for search cases

Info

Publication number: CN110765263B
Application number: CN201910935571.7A
Authority: CN
Inventors: 陈朗
Original assignee: Ping An Zhitong Consulting Co Ltd Shanghai Branch
Current assignee: Ping An Zhitong Consulting Co Ltd Shanghai Branch
Priority date: 2019-09-29
Filing date: 2019-09-29
Publication date: 2023-10-27
Anticipated expiration: 2039-09-29
Also published as: CN110765263A

Abstract

The application is suitable for the technical field of computer application, and provides a display method and a display device for search cases, wherein the display method comprises the following steps: the method comprises the steps of carrying out preliminary search on historical cases according to case information in search information to obtain first cases of preliminary screening results, determining matching degrees of the preliminary screening cases in two aspects of a judge and a principal according to judge information and principal information in the search information, determining display weights of principal images and judge images corresponding to the preliminary screening cases according to the matching degrees, determining display sequences of the first cases according to comprehensive weights obtained by the two images, and correspondingly displaying each first case. Redundant cases are screened out, cases matched with the search information are accurately searched, the case display sequence is determined according to the search information and the matched cases, each first case is correspondingly displayed according to the display sequence, search personnel can acquire the history cases with the most relation at the first time, and the information acquisition efficiency and the accuracy of the search personnel are improved.

Description

Display method and device for search cases

Technical Field

The application belongs to the technical field of computer application, and particularly relates to a display method and device for a search case.

Background

When a judge judges cases, in the judging stage, for cases with uncertain cases facts or cases with great cases, the judge, namely the case retrieval, is usually assisted by referring to similar cases in the past.

In the prior art, similar cases are retrieved through an intelligent search mode, namely, based on a general search engine technology, a large number of professional manual labeling works are assisted, and the existing published legal referee documents are classified and identified to form different types of document classifications, so that when the classification identifications are retrieved, the corresponding legal referee documents are displayed. However, this method requires a lot of manpower and financial resources, a lot of cases with low matching degree are still presented to the judge, the judge needs to spend a lot of time to screen the required cases, and after the search cases are obtained by screening, the display sequence of the search cases is disordered, and the judge cannot obtain the case most relevant to the expectation according to the displayed cases in time, so that the problem of low case search efficiency caused by poor display effect of the search results exists in the prior art.

Disclosure of Invention

The embodiment of the application provides a display method and a display device for a search case, which can solve the problem of low case search efficiency caused by poor display effect of a search result.

In a first aspect, an embodiment of the present application provides a method for displaying a search case, including:

in a possible implementation manner of the first aspect, the search information of the case is obtained; the search information comprises case information, judge information and principal information; if a first case matched with the case information exists in a preset case library, calculating the judge matching degree between the judge information and the first case and the match degree between the principal information and the first case; determining the display weight of the preset forensic image corresponding to the first case according to the forensic matching degree, and determining the display weight of the preset principal image corresponding to the first case according to the principal matching degree; the display weight of the forensic image is proportional to the forensic matching degree, and the display weight of the principal image is proportional to the principal matching degree; and calculating a comprehensive weight score of each first case according to the display weight of the forensic image and the display weight of the principal image, and displaying the first cases according to the comprehensive weight score.

It should be understood that, by performing preliminary search on the historical cases according to the case information in the search information, the first cases of the preliminary screening result are obtained, then, according to the judge information and the principal information in the search information, the matching degree of the preliminary screening cases in the two aspects of the judge and the principal is determined, and according to the matching degree, the display weights of the principal images and the judge images corresponding to the two aspects are determined, finally, the display sequence of the first cases is determined according to the comprehensive weights obtained by the two images, and each first case is correspondingly displayed according to the display sequence. Redundant cases are screened out, cases matched with the search information are accurately searched, the case display sequence can be determined according to the search information and the matched cases, each first case is correspondingly displayed according to the display sequence, search personnel can acquire historical cases with the most relation at the first time, and information acquisition efficiency and accuracy of the search personnel are improved.

In a second aspect, an embodiment of the present application provides a display device for retrieving a case, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the following steps when executing the computer program:

acquiring search information of a case; the search information comprises case information, judge information and principal information;

if a first case matched with the case information exists in a preset case library, calculating the judge matching degree between the judge information and the first case and the match degree between the principal information and the first case;

determining the display weight of the preset forensic image corresponding to the first case according to the forensic matching degree, and determining the display weight of the preset principal image corresponding to the first case according to the principal matching degree; the display weight of the forensic image is proportional to the forensic matching degree, and the display weight of the principal image is proportional to the principal matching degree;

and calculating a comprehensive weight score of each first case according to the display weight of the forensic image and the display weight of the principal image, and displaying the first cases according to the comprehensive weight score.

In a third aspect, an embodiment of the present application provides a display apparatus for retrieving a case, including:

the acquisition unit is used for acquiring the search information of the cases; the search information comprises case information, judge information and principal information;

the computing unit is used for computing the judge matching degree between the judge information and the first case and the principal matching degree between the principal information and the first case if a first case matched with the case information exists in a preset case library;

the determining unit is used for determining the display weight of the preset forensic image corresponding to the first case according to the forensic matching degree, and determining the display weight of the preset principal image corresponding to the first case according to the principal matching degree; the display weight of the forensic image is proportional to the forensic matching degree, and the display weight of the principal image is proportional to the principal matching degree;

a weight unit for calculating a comprehensive weight score for each of the first cases based on the display weight of the forensic image and the display weight of the principal image;

and the display unit is used for determining the display sequence of each first case according to the comprehensive weight score and correspondingly displaying each first case according to the display sequence.

In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of the first aspect described above.

In a fifth aspect, an embodiment of the present application provides a computer program product, which when run on a terminal device, causes the terminal device to execute the display method of the search case according to any one of the first aspects.

It will be appreciated that the advantages of the second to fifth aspects may be found in the relevant description of the first aspect, and are not described here again.

Compared with the prior art, the embodiment of the application has the beneficial effects that: the method comprises the steps of carrying out preliminary search on historical cases according to case information in search information to obtain first cases of preliminary screening results, determining matching degrees of the preliminary screening cases in two aspects of a judge and a principal according to judge information and principal information in the search information, determining display weights of principal images and judge images corresponding to the preliminary screening cases according to the matching degrees, determining display sequences of the first cases according to comprehensive weights obtained by the two images, and correspondingly displaying each first case according to the display sequences. Redundant cases are screened out, cases matched with the search information are accurately searched, the case display sequence can be determined according to the search information and the matched cases, each first case is correspondingly displayed according to the display sequence, search personnel can acquire historical cases with the most relation at the first time, and information acquisition efficiency and accuracy of the search personnel are improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of a display method of a search case according to an embodiment of the present application;

fig. 2 is a flowchart of a method for displaying a search case according to a second embodiment of the present application;

fig. 3 is a schematic diagram of a display device for retrieving a case according to a third embodiment of the present application;

fig. 4 is a schematic diagram of a display device for retrieving cases according to a fourth embodiment of the present application.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It should also be understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.

As used in the present description and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".

Furthermore, the terms "first," "second," "third," and the like in the description of the present specification and in the appended claims, are used for distinguishing between descriptions and not necessarily for indicating or implying a relative importance.

Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.

Referring to fig. 1, fig. 1 is a flowchart of a display method of a search case according to an embodiment of the present application. The execution subject of the display method for retrieving cases in this embodiment is a device with a case retrieving function, including but not limited to a computer, a server, a tablet computer, a terminal, or the like. The display method of the search case as shown in the figure may include the steps of:

S101: acquiring search information of a case; the search information includes case information, judge information and principal information.

In many cases, the retrieval and review of historical cases plays a very important role in the analysis and decision of new cases. For instance, when a judge is performed on a case by a judge, in the judging stage, for cases with uncertain case facts or cases with serious cases, similar cases in the past period are often referred to assist the judge, i.e. case retrieval.

When the user searches, the search information of the case is acquired first. The search information in this embodiment includes case information, judge information, and principal information. Specifically, the case information includes information such as a case reason, case details, and a decision result, and the judge information is information for representing a judge participating in the trial, for example, identity information, occupation information, and the like, and the principal information is information for representing a principal related to the case, for example, identity information, history case information related thereto, and the like, which is not limited herein.

Alternatively, the manner of acquiring the search information of the case in this embodiment may be text input, or may be that the user performs voice input, and the search information is acquired by performing voice recognition, which is not limited herein.

S102: if a first case matched with the case information exists in a preset case library, calculating the judge matching degree between the judge information and the first case and the match degree between the principal information and the first case.

In this embodiment, a case library is preset, which includes all the processed history cases and detailed information of each history case. According to the case information in the search information and the content of the historical cases in the case library, identifying keywords used for representing the case information of the historical cases, and matching the keywords with the case information in the search information to determine a primary screening case matched with the case information, namely a first case.

It should be noted that, the preliminary screening case in this embodiment is used to represent a case matching with the case information, regardless of the judge information, the party information, or the case generation time.

Further, step S102 specifically includes S1021 to S1024:

s1021: and screening keywords of historical cases in the case library.

When a first case matched with the case information is screened from the case library, word segmentation processing is carried out on the case information and the content of the historical case, and keywords representing the case information in the historical case are determined. The word segmentation processing in this embodiment may be to identify the word segmentation in the case information according to a preset word segmentation dictionary. It should be noted that, in this embodiment, the keywords of the history case include at least two keywords, and the keywords are used to represent important information such as case information of the history case.

Furthermore, the filtering processing of the broken words can be carried out on the case information and the content of the historical case, and the broken words and the functional words which have no practical meaning but have high use frequency in the text of the historical case, such as filtering the words of 'yes, bar, but, moreover, the words of' yes, bar, the words of 'that' and the like. Because they often overwhelm truly useful words, using existing stop word vocabulary to remove words that contribute little to the text representation, counting the number of occurrences of the remaining words in the text, retaining only one item for repeated occurrences of the words, and reducing redundant vocabulary in the case information.

Alternatively, when the text information base of the history case is very large and the information is relatively stable, the search speed is greatly improved by building an index structure of the whole coverage text. In full text indexing, indexing some useless entries wastes the indexing space of the system and affects the system performance, so that all entries appearing in text are not necessarily indexed, but rather important entries are selected to be indexed, and keywords in historical cases can be screened by using a proper feature extraction method after the previous text segmentation and the filtering of the broken words.

Further, step S1021 includes: according to a preset word segmentation mode, recognizing the word segmentation in the historical case and the frequency of each word segmentation in the historical case, namely the frequency of each word segmentation in the historical case. Calculating the case frequency of the word segmentation occurring in the historical case according to the frequency; the case frequency is used for indicating the frequency of occurrence of the word segmentation in the historical case. Identifying the number of cases comprising the history cases of the word segmentation, and calculating the case density according to the number of cases; the case density is used for representing the density of historical cases related to the word segmentation in the case library; calculating word segmentation weight of the word segmentation according to the case frequency and the case density, and identifying the corresponding word segmentation as the keyword when the word segmentation weight is greater than the preset word segmentation weight.

Specifically, the case frequency of the word segmentation in the historical case is calculated through the following formula:

wherein i is used to represent a keyword, f _i The number of times that the keyword i appears in the history cases is represented, and N represents the number of history cases. The case frequency in this embodiment is used to represent the proportion of the number of occurrences of each word in a single history case, i.e., the frequency.

Identifying the number of cases of the history cases comprising the word segmentation, and calculating the case density through the following formula: df (df) _i ＝log(n/N)；

Wherein n represents the number of cases of the history cases where the keyword i appears; the case density in this embodiment is used to represent the density of the history case related to the word segmentation in the case library, that is, the greater the case density of the heat degree of the word segmentation in the history case, the higher the heat degree of the information corresponding to the word segmentation.

Calculating word segmentation weight of the word segmentation through the following formula：I _i ＝α×tf _i ×df _i X log (1+l); wherein l represents the character string length of the word segmentation; alpha represents a weighting coefficient corresponding to the segmentation at the document position of the history case. Illustratively, when the word is located in the title, abstract section, keyword table in the case information, α=1 is set; at the beginning, end and conclusion sentences of the segment, set α=0.5; otherwise, α=0 is set.

S1022: and determining the matching degree between each historical case and the case information according to the keywords of the historical case and the keywords in the case information.

In this embodiment, the matching degree between each historical case and the case information is obtained by calculating the matching degree between the case information in the search information and the keywords in the historical case text. The specific calculation mode is as follows:

Wherein D1 is used for representing retrieval information; d2 is used to represent historical cases; i ₁ The case information is used for representing the case information in the search information; i ₂ For representing keywords in the history case text.

S1023: if the matching degree corresponding to the first historical case is larger than a preset matching degree threshold, identifying the first historical case as the first case;

after the matching degree between the historical cases and the case information is calculated, the larger the matching degree is, the larger the similarity is indicated, and the smaller the similarity is otherwise; if the two vectors are identical, the degree of matching is 1. Setting a filtering threshold, and if Sim (D1, D2) is smaller than the filtering threshold, D1, D2 are irrelevant; otherwise, the correlation is performed.

In this embodiment, a matching degree threshold is preset for measuring the matching degree between the historical cases and the case information, and when the matching degree corresponding to the first historical case is greater than the preset matching degree threshold, the first historical case is identified as the first case. In addition, the number of the keywords in one history case can be judged, namely, the first case is obtained when the number of the keywords related to the case information is larger than a preset number threshold.

S1024: and calculating the judge matching degree between the judge information and the judge information in the first case and the principal matching degree between the principal information and the principal information in the first case.

After the preliminary screening cases meeting the case information are screened, the matching degree between the cases, the judge information and the principal information is calculated, and the specific matching degree calculating mode is the same as the matching degree calculating mode in the steps S1022 and S1023, and is not described in detail herein.

S103: determining the display weight of the preset forensic image corresponding to the first case according to the forensic matching degree, and determining the display weight of the preset principal image corresponding to the first case according to the principal matching degree; the forensic image has a display weight proportional to the forensic matching degree, and the principal image has a display weight proportional to the principal matching degree.

In this embodiment, a forensic image and a principal image corresponding to each history case are constructed in advance based on the forensic information and the principal information in the history case information, respectively, so that information of one case is visually and comprehensively represented by the forensic image and the principal image. After the principal matching degree and the judge matching degree are obtained respectively, the display weight of the portrait is determined according to the magnitude of the principal matching degree and the judge matching degree. The display weight in this embodiment is proportional to the matching degree, and when the matching degree is larger, the corresponding display weight is larger, and when the display weight of the forensic image and the display weight of the principal image are determined, the display weight of the corresponding image is determined according to the size of the matching degree, and the display weight based on the forensic information and the principal information in each first case is determined.

Further, in order to be closer to the demands of the search personnel, after determining the display sequence based on all the information in each historical case, fine tuning is performed again based on the matching degree calculated by the data information corresponding to each small label based on the weight under each large classification; wherein the result of the large classification includes principal information and forensic information, and the small tag is used to represent principal tags and forensic tags set in the principal information and the forensic information, respectively.

Specifically, the matching degree between the data information corresponding to each tag in the history case information and the search information is calculated, a small tag with higher matching degree with the search information is determined to be included, and the portrait display weight corresponding to the small tag is increased. For example, if the data information corresponding to the name tag of the party in a certain history case is "Zhang san", and the party information included in the search information is "Zhang san and Li si", the matching degree corresponding to the name tag of the party is 1, that is, the maximum, and the display weight of the history case is increased based on the small tag of the name of the party.

S104: and calculating the comprehensive weight score of each first case according to the display weight of the forensic image and the display weight of the principal image.

In this embodiment, the comprehensive weight score of each first case may be calculated by performing weighted average on the display weight of the forensic image and the display weight of the principal image, and the specific weighted value may be set by the search person.

Illustratively, the composite weight score (20 points) =1 case similarity score (10 points) +0.5 corporate matching score (10 points) +0.5 principal matching score (10 points); further, fine tuning is performed again based on the matching degree calculated according to the data information corresponding to each small tag based on the weight under each large category, for example, the principal matching degree score (10 min) =1×principal name (1 min) +1×principal id number (3 min) +1×case is calculated from (2 min) +1×decision date (2 min) +1×decision court (2 min).

S105: and determining the display sequence of each first case according to the comprehensive weight score, and correspondingly displaying each first case according to the display sequence.

After the comprehensive weight score is obtained, the higher the comprehensive weight score is, the more the corresponding first case is displayed in front. In this embodiment, the first cases may be ordered according to the magnitude of the comprehensive weight score, and the order obtained is the display order of the first cases, and finally each first case is correspondingly displayed according to the display order.

According to the scheme, the search information of the case is obtained; the search information comprises case information, judge information and principal information; if a first case matched with the case information exists in a preset case library, calculating the judge matching degree between the judge information and the first case and the match degree between the principal information and the first case; determining the display weight of the preset forensic image corresponding to the first case according to the forensic matching degree, and determining the display weight of the preset principal image corresponding to the first case according to the principal matching degree; the display weight of the forensic image is proportional to the forensic matching degree, and the display weight of the principal image is proportional to the principal matching degree; and calculating a comprehensive weight score of each first case according to the display weight of the forensic image and the display weight of the principal image, and displaying the first cases according to the comprehensive weight score. The method comprises the steps of carrying out preliminary search on historical cases according to case information in search information to obtain first cases of preliminary screening results, determining matching degrees of the preliminary screening cases in two aspects of a judge and a principal according to judge information and principal information in the search information, determining display weights of principal images and judge images corresponding to the preliminary screening cases according to the matching degrees, determining display sequences of the first cases according to comprehensive weights obtained by the two images, and correspondingly displaying each first case according to the display sequences. Redundant cases are screened out, cases matched with the search information are accurately searched, the case display sequence can be determined according to the search information and the matched cases, each first case is correspondingly displayed according to the display sequence, search personnel can acquire historical cases with the most relation at the first time, and information acquisition efficiency and accuracy of the search personnel are improved.

Referring to fig. 2, fig. 2 is a flowchart of a display method of a search case according to an embodiment of the present application. The execution subject of the display method for retrieving cases in this embodiment is a device with a case retrieving function, including but not limited to a computer, a server, a tablet computer, a terminal, or the like. The display method of the search case as shown in the figure may include the steps of:

s201: acquiring search information of a case; the search information includes case information, judge information and principal information.

The manner of acquiring the search information of the case in step S201 of the present embodiment is completely the same as the manner of acquiring the search information of the case in S101 in the embodiment corresponding to fig. 1, and specifically, reference may be made to the description related to S101 in the embodiment corresponding to fig. 1, which is not repeated here.

Further, after step S201, the method further includes:

if the case library does not have the first case matched with the case information, determining a second case corresponding to the judge information and the principal information in the search information in the case library; calculating the matching degree between the case information of the second case and the search information; and displaying the second case according to the matching degree.

Specifically, when a first case matching with the case information is not found in the case library, it is explained that the case information in the search information has no similar corresponding case in the case library, so that in this embodiment, re-search is performed through information of a judge and a party, that is, a second case corresponding to the judge information and the party information in the search information is determined in the case library, and a matching degree between the case information of the second case and the search information is calculated, and the second case is displayed according to the matching degree.

When calculating the matching degree between the case information and the search information of the second case, the matching degree between the principal information in the case information and the principal information in the search information and the matching degree between the judge information in the case information and the judge information in the search information are calculated, the matching between the two is averaged to obtain the final matching degree, and finally the second case is displayed in the order from high to low according to the final matching degree.

S202: if a first case matched with the case information exists in a preset case library, calculating the judge matching degree between the judge information and the first case and the match degree between the principal information and the first case.

In this embodiment, the implementation manner of S202 is identical to that of S102 in the embodiment corresponding to fig. 1, and specific reference may be made to the description related to S102 in the embodiment corresponding to fig. 1, which is not repeated here.

S203: historical case information is obtained.

The history case information includes all the case contents, that is, the principal information, the judge information, and the case information. Wherein the principal information may include principal name, principal identification number, case, decision date, decision court, etc.; the judge information may include judge name, working time, pension court, history case, etc., without limitation.

S204: and extracting judge information and principal information from the historical case information.

The history case information obtained in this embodiment may be in the form of text, for example, in the form of a table, which is not limited herein, and various types of information in the history case are displayed in the text in a certain order and format, so that the forensic information and the principal information in the history case information may be extracted by identifying the text format or text position.

S205: the forensic image is constructed based on the forensic information, and the principal image is constructed based on the principal information.

The process of constructing the portrait is divided into two parts, namely, a tag library is constructed by using historical case information, and a forensic portrait and a principal portrait are respectively constructed by using forensic information and principal information.

Further, step S205 includes S2051 to S2052:

s2051: extracting a preset forensic label value corresponding to a forensic label from the forensic information, and constructing the forensic portrait according to the forensic label value; the judge tag comprises a first identity tag, a first time tag and a job tag;

when the history case information constructs a tag library, tags corresponding to each information type are generated according to the information types, and then all the tags are built into the tag library. Tags in the tag library can be divided into two broad categories, namely principal tags and forensic tags. Wherein, the judge tag includes: a first identity tag, a first time tag, a job tag, etc. Specifically, the first identity tag correspondingly comprises data about a judge name, identity and the like, wherein the data can be a Chinese name, an English name, a certificate number, qualification and the like; the first time tag correspondingly comprises data about the right penmanship time and the case processing time; the job ticket correspondence includes information about the right's pension court, the history cases processed, etc., without limitation.

According to the label names of all the labels in the label library, determining the information characteristic corresponding to each label name, wherein the information characteristic in the embodiment is used for representing the data type, the text form, the text keyword and the like of the data information corresponding to each label name and is used for identifying the data information corresponding to each label in each historical case information through the information characteristic. After the data information corresponding to all the tags in the judge tag is determined, a judge portrait is generated according to the data information corresponding to each tag in the judge tag.

Further, after determining the data information corresponding to all the tags in the forensic tag, the matching degree of the forensic tag can be calculated according to the data information corresponding to all the tags in the forensic tag and the case information in the search information, so that the corresponding display weight can be determined according to the matching degree corresponding to different tags.

S2052: extracting a principal label value corresponding to a preset principal label from the principal information, and constructing the principal portrait according to the principal label value; the principal tag includes a second identity tag, a case tag, a second time tag, and a court tag.

When the history case information constructs a tag library, tags corresponding to each information type are generated according to the information types, and then all the tags are built into the tag library. Tags in the tag library can be divided into two broad categories, namely principal tags and forensic tags. Wherein the principal tag includes: a second identity tag, a counter tag, a second time tag, a court tag, etc. Specifically, the second identity tag correspondingly includes data about the name, identity, etc. of the principal, wherein the data can be a Chinese name, an English name, a certificate number, a qualification certificate, etc.; the case label corresponds to data including the reason, the pass and the like of the case of the principal; the second time tag correspondingly comprises data about the issuing time, the judging time and the criminal time of the principal; the court tag correspondence includes relevant court data regarding the judgment of the party, which is only an example and is not particularly limited herein.

According to the label names of all the labels in the label library, determining the information characteristic corresponding to each label name, wherein the information characteristic in the embodiment is used for representing the data type, the text form, the text keyword and the like of the data information corresponding to each label name and is used for identifying the data information corresponding to each label in each historical case information through the information characteristic. After determining the data information corresponding to all the tags in the principal tag, a principal portrait is generated based on the data information corresponding to each tag in the principal tag.

Further, after determining the data information corresponding to all the tags in the principal tag, the matching degree of the principal can be calculated according to the data information corresponding to all the tags in the principal tag and the case information in the search information, so as to determine the corresponding display weight according to the matching degree corresponding to different tags.

S206: determining the display weight of the preset forensic image corresponding to the first case according to the forensic matching degree, and determining the display weight of the preset principal image corresponding to the first case according to the principal matching degree; the forensic image has a display weight proportional to the forensic matching degree, and the principal image has a display weight proportional to the principal matching degree.

After the principal matching degree and the judge matching degree are obtained respectively, the display weight of the portrait is determined according to the magnitude of the principal matching degree and the judge matching degree. The display weight in this embodiment is proportional to the matching degree, and when the matching degree is larger, the corresponding display weight is larger, and when the display weight of the forensic image and the display weight of the principal image are determined, the display weight of the corresponding image is determined according to the size of the matching degree, and the display weight based on the forensic information and the principal information in each first case is determined.

Respectively constructing a forensic image and a principal image corresponding to each historical case according to forensic information and principal information in the historical case information, determining display weights of the principal image and the forensic image corresponding to each historical case according to the matching degree, and finally determining the display sequence of the first case according to the obtained comprehensive weights of the two images. Not only redundant cases are screened out, cases matched with the retrieval information are accurately searched, but also the case display sequence can be determined according to the retrieval information and the retrieved cases.

S207: and calculating the comprehensive weight score of each first case according to the display weight of the forensic image and the display weight of the principal image.

In this embodiment, the comprehensive weight score of each first case may be calculated by performing weighted average on the display weight of the forensic image and the display weight of the principal image, and the specific weighted value may be set by the retriever, and then the first cases may be displayed in the order from high to low according to the comprehensive weight score after the comprehensive weight score is obtained.

Furthermore, different search result display thresholds can be set according to different case types, personal portrait scores of judges and other dimensions, search results with comprehensive scores higher than the thresholds are displayed in reverse order, and meanwhile, search results with search results lower than the display thresholds are automatically shielded and filtered.

According to the embodiment, comprehensive weight score values are formed from dimensions of multidimensional forensic pictures, case matching, principal pictures, intelligent filtering and the like, and search results with score values higher than a threshold value are displayed to a user in reverse order. Therefore, the accuracy of the search results can be measured more comprehensively, the matching degree of the search results is further improved, and the results with low score values are filtered. And when the accurate results are preferentially displayed to the user, inaccurate results are filtered, so that unnecessary time loss of a judge is reduced, and excessive search results are consulted. And the history cases with larger association with the search information can be displayed at the position of the front of the search result, so that the search personnel can acquire the history cases with the most relation at the first time, and the information acquisition efficiency of the search personnel is improved.

S208: and determining the display sequence of each first case according to the comprehensive weight score, and correspondingly displaying each first case according to the display sequence.

The manner of acquiring the search information of the case in step S208 of the present embodiment is completely the same as the manner of acquiring the search information of the case in S105 of the embodiment corresponding to fig. 1, and specifically, reference may be made to the description related to S105 of the embodiment corresponding to fig. 1, which is not repeated here.

According to the scheme, the search information of the case is obtained; the search information comprises case information, judge information and principal information; if a first case matched with the case information exists in a preset case library, calculating the judge matching degree between the judge information and the first case and the match degree between the principal information and the first case; acquiring historical case information; extracting judge information and principal information from the history case information; the forensic image is constructed based on the forensic information, and the principal image is constructed based on the principal information. Determining the display weight of the preset forensic image corresponding to the first case according to the forensic matching degree, and determining the display weight of the preset principal image corresponding to the first case according to the principal matching degree; the display weight of the forensic image is proportional to the forensic matching degree, and the display weight of the principal image is proportional to the principal matching degree; and calculating a comprehensive weight score of each first case according to the display weight of the forensic image and the display weight of the principal image, and displaying the first cases according to the comprehensive weight score. The first case of the preliminary screening result is obtained by preliminary searching the historical cases according to the case information in the search information, and then the matching degree of the preliminary screening cases in the aspects of the judge and the principal is determined according to the judge information and the principal information in the search information. Respectively constructing a forensic image and a principal image corresponding to each historical case according to forensic information and principal information in the historical case information, determining display weights of the principal image and the forensic image corresponding to each historical case according to the matching degree, determining the display sequence of the first cases according to the obtained comprehensive weights of the two images, and correspondingly displaying each first case according to the display sequence. Redundant cases are screened out, cases matched with the search information are accurately searched, the case display sequence can be determined according to the search information and the matched cases, each first case is correspondingly displayed according to the display sequence, search personnel can acquire historical cases with the most relation at the first time, and information acquisition efficiency and accuracy of the search personnel are improved.

Referring to fig. 3, fig. 3 is a schematic diagram of a display device for retrieving a case according to a third embodiment of the present application. The display device 300 for retrieving cases may be a terminal such as a smart phone or a tablet computer. The display device 300 for retrieving a case according to the present embodiment includes units for executing the steps in the embodiment corresponding to fig. 1, and specifically please refer to fig. 1 and the related description in the embodiment corresponding to fig. 1, which are not repeated herein. The display device 300 of the search case of the present embodiment includes:

an acquiring unit 301, configured to acquire search information of a case; the search information comprises case information, judge information and principal information;

a calculating unit 302, configured to calculate a corporate matching degree between the corporate information and the first case and a principal matching degree between the principal information and the first case if a first case matching with the case information exists in a preset case library;

a determining unit 303, configured to determine, according to the corporate matching degree, a display weight of the first case corresponding to a preset corporate image, and determine, according to the principal matching degree, a display weight of the first case corresponding to a preset principal image; the display weight of the forensic image is proportional to the forensic matching degree, and the display weight of the principal image is proportional to the principal matching degree;

A weight unit 304 for calculating a comprehensive weight score for each of the first cases based on the display weight of the forensic image and the display weight of the principal image;

and the display unit 305 is configured to determine a display order of each first case according to the comprehensive weight score, and correspondingly display each first case according to the display order.

Further, the computing unit 302 includes:

the screening unit is used for screening keywords of historical cases in the case library;

the first matching unit is used for determining the matching degree between each historical case and the case information according to the keywords of the historical case and the keywords in the case information;

the first identification unit is used for identifying the first historical case as the first case if the matching degree corresponding to the first historical case is larger than a preset matching degree threshold;

and a second matching unit for calculating a judge matching degree between the judge information and the judge information in the first case, and a principal matching degree between the principal information and the principal information in the first case.

Further, the screening unit includes:

The second recognition unit is used for recognizing the word segmentation in the history case and the frequency of each word segmentation in the history case according to a preset word segmentation mode;

the first calculating unit is used for calculating the case frequency of the word segmentation in the historical case according to the frequency; the case frequency is used for indicating the frequency of occurrence of the word segmentation in the historical case;

the second computing unit is used for identifying the number of cases comprising the history cases of the word segmentation and computing the case density according to the number of cases; the case density is used for representing the density of historical cases related to the word segmentation in the case library;

the third calculation unit is used for calculating the word segmentation weight of the word segmentation according to the case frequency and the case density, and identifying the word segmentation corresponding to the word segmentation weight larger than the preset word segmentation weight as the keyword.

Further, the identifying the word segmentation in the history case and the frequency of each word segmentation in the history case according to a preset word segmentation mode includes

Calculating the case frequency of the word segmentation in the historical case according to the following formula:

wherein f _i The number of times of occurrence of the keyword i in the history case text is represented, and N represents the number of history cases;

further, the identifying the number of cases including the history cases of the word segmentation, and calculating the case density according to the number of cases includes:

Wherein n represents the number of cases of the history cases where the keyword i appears;

further, the calculating the word segmentation weight of the word segmentation according to the case frequency and the case density includes:

the word segmentation weight of the word segmentation is calculated by the following formula: i _i ＝α×tf _i ×df _i X log (1+l); wherein l represents the character string length of the word segmentation; alpha represents a weighting coefficient corresponding to the segmentation at the document position of the history case.

Further, the display device 300 for retrieving cases further includes:

a history acquisition unit for acquiring history case information;

an extracting unit for extracting the judge information and the principal information from the history case information;

and the construction unit is used for constructing the forensic image according to the forensic information and constructing the principal image according to the principal information.

Further, the construction unit includes:

the first construction unit is used for extracting a preset forensic label value corresponding to the forensic label from the forensic information, and constructing the forensic portrait according to the forensic label value; the judge tag comprises a first identity tag, a first time tag and a job tag;

a second construction unit, configured to extract a principal tag value corresponding to a preset principal tag from the principal information, and construct the principal portrait according to the principal tag value; the principal tag includes a second identity tag, a case tag, a second time tag, and a court tag.

Further, the display device 300 for retrieving cases further includes:

a third matching unit, configured to determine, in the case library, a second case corresponding to the forensic information and the principal information in the search information if the first case matching the case information does not exist in the case library;

a fourth calculation unit, configured to calculate a matching degree between the case information of the second case and the search information;

and the second weight unit is used for displaying the second case according to the matching degree.

It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.

Referring to fig. 4, fig. 4 is a schematic diagram of a display device for retrieving a case according to a fourth embodiment of the present application. The display device 400 of the search case in the present embodiment as shown in fig. 4 may include: a processor 401, a memory 402 and a computer program 403 stored in the memory 402 and executable on the processor 401. The processor 401, when executing the computer program 403, implements the steps of the display method embodiment of each search case described above. The memory 402 is used to store a computer program comprising program instructions. The processor 401 is used to execute program instructions stored in the memory 402. Wherein the processor 401 is configured to invoke the program instructions to:

the processor 401 is configured to:

Further, the processor 401 is specifically configured to:

screening keywords of historical cases in the case library;

determining the matching degree between each historical case and the case information according to the keywords of the historical cases and the keywords in the case information;

if the matching degree corresponding to the first historical case is larger than a preset matching degree threshold, identifying the first historical case as the first case;

and calculating the judge matching degree between the judge information and the judge information in the first case and the principal matching degree between the principal information and the principal information in the first case.

Further, the processor 401 is specifically configured to:

identifying the word segmentation in the historical case and the frequency of each word segmentation in the historical case according to a preset word segmentation mode;

calculating the case frequency of the word segmentation occurring in the historical case according to the frequency; the case frequency is used for indicating the frequency of occurrence of the word segmentation in the historical case;

identifying the number of cases comprising the history cases of the word segmentation, and calculating the case density according to the number of cases; the case density is used for representing the density of historical cases related to the word segmentation in the case library;

calculating word segmentation weight of the word segmentation according to the case frequency and the case density, and identifying the corresponding word segmentation as the keyword when the word segmentation weight is greater than the preset word segmentation weight.

Further, the processor 401 is specifically configured to:

acquiring historical case information;

extracting judge information and principal information from the history case information;

the forensic image is constructed based on the forensic information, and the principal image is constructed based on the principal information.

Further, the processor 401 is specifically configured to:

extracting a preset forensic label value corresponding to a forensic label from the forensic information, and constructing the forensic portrait according to the forensic label value; the judge tag comprises a first identity tag, a first time tag and a job tag;

extracting a principal label value corresponding to a preset principal label from the principal information, and constructing the principal portrait according to the principal label value; the principal tag includes a second identity tag, a case tag, a second time tag, and a court tag.

Further, the processor 401 is specifically configured to:

if the case library does not have the first case matched with the case information, determining a second case corresponding to the judge information and the principal information in the search information in the case library;

calculating the matching degree between the case information of the second case and the search information;

and displaying the second case according to the matching degree.

It should be appreciated that in embodiments of the present application, the processor 401 may be a central processing unit (Central Processing Unit, CPU), which may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSPs), application specific integrated circuits (Application Specific Integrated Circuit, ASICs), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 402 may include read only memory and random access memory and provides instructions and data to the processor 401. A portion of memory 402 may also include non-volatile random access memory. For example, the memory 402 may also store information of device type.

In a specific implementation, the processor 401, the memory 402, and the computer program 403 described in the embodiments of the present application may execute the implementation described in the first embodiment and the second embodiment of the display method of the search case provided in the embodiments of the present application, and may also execute the implementation of the terminal described in the embodiments of the present application, which is not described herein again.

In another embodiment of the present application, there is provided a computer-readable storage medium storing a computer program comprising program instructions that when executed by a processor implement:

Further, the computer program when executed by the processor also realizes:

screening keywords of historical cases in the case library;

Further, the computer program when executed by the processor also realizes:

the calculation is carried out by the following formulaWord segmentation weight of word segmentation: i _i ＝α×tf _i ×df _i X log (1+l); wherein l represents the character string length of the word segmentation; alpha represents a weighting coefficient corresponding to the segmentation at the document position of the history case.

Further, the computer program when executed by the processor also realizes:

acquiring historical case information;

Further, the computer program when executed by the processor also realizes:

and displaying the second case according to the matching degree.

The computer readable storage medium may be an internal storage unit of the terminal according to any of the foregoing embodiments, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used for storing the computer program and other programs and data required by the terminal. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working procedures of the terminal and the unit described above may refer to the corresponding procedures in the foregoing method embodiments, which are not repeated herein.

In several embodiments provided by the present application, it should be understood that the disclosed terminal and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices, or elements, or may be an electrical, mechanical, or other form of connection.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment of the present application.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

While the application has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the application. Therefore, the protection scope of the application is subject to the protection scope of the claims.

Claims

1. A display method of a search case, comprising:

Calculating a composite weight score for each of the first cases based on the display weights of the forensic representation and the principal representation;

determining the display sequence of each first case according to the comprehensive weight score, and correspondingly displaying each first case according to the display sequence;

if a first case matched with the case information exists in the preset case library, calculating a judge matching degree between the judge information and the first case and a principal matching degree between the principal information and the first case, including:

screening keywords of historical cases in the case library;

calculating a judge matching degree between the judge information and the judge information in the first case and a principal matching degree between the principal information and the principal information in the first case;

The screening of keywords of historical cases in the case library comprises the following steps:

calculating word segmentation weight of the word segmentation according to the case frequency and the case density, and identifying the corresponding word segmentation as the keyword when the word segmentation weight is greater than the preset word segmentation weight;

the calculating the case frequency of the word segmentation occurring in the historical case according to the frequency comprises the following steps:

wherein f _i Representing the number of times a keyword i appears in the history case text, f _ij The number of times of occurrence of the keyword i in the j-th history case text is represented, and N represents the number of history cases;

The identifying the number of cases including the history cases of the word segmentation, calculating the case density according to the number of cases, including:

the calculating the word segmentation weight of the word segmentation according to the case frequency and the case density comprises the following steps:

calculating the word segmentation of the word segmentation by the following formulaWeight: i _i ＝α×tf _i ×df _i X log (1+d); wherein D represents the character string length of the word segmentation; alpha represents a weighting coefficient corresponding to the segmentation at the document position of the history case.

2. The method for displaying a search case according to claim 1, wherein before determining the display weight of the first case corresponding to the preset forensic image according to the forensic matching degree and determining the display weight of the first case corresponding to the preset principal image according to the principal matching degree, the method further comprises:

acquiring historical case information;

3. The method of claim 2, wherein said constructing said forensic representation from said forensic information and constructing said principal representation from said principal information comprises:

4. The method for displaying a search case according to claim 1, further comprising, after the search information of the case is obtained:

And displaying the second case according to the matching degree.

5. A display device for retrieving a case, comprising:

the display unit is used for determining the display sequence of each first case according to the comprehensive weight score and correspondingly displaying each first case according to the display sequence;

Wherein the computing unit includes:

a second matching unit for calculating a judge matching degree between the judge information and the judge information in the first case, and a principal matching degree between the principal information and the principal information in the first case;

the screening unit includes:

the third calculation unit is used for calculating the word segmentation weight of the word segmentation according to the case frequency and the case density, and identifying the word segmentation corresponding to the word segmentation weight larger than the preset word segmentation weight as the keyword;

the second identifying unit is specifically configured to:

wherein f _i Representing the number of times a keyword i appears in the history case text, f _ij The number of times of occurrence of the keyword i in the ith historical case text is represented, and N represents the number of historical cases;

the word segmentation weight of the word segmentation is calculated by the following formula: i _i ＝α×tf _i ×df _i X log (1+d); wherein D represents the character string length of the word segmentation; alpha represents a weighting coefficient corresponding to the segmentation at the document position of the history case.

6. A display device for retrieving cases, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 4 when the computer program is executed.

7. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 4.