CN116910129A - Enterprise tag display method and device - Google Patents

Enterprise tag display method and device Download PDF

Info

Publication number
CN116910129A
CN116910129A CN202310940077.6A CN202310940077A CN116910129A CN 116910129 A CN116910129 A CN 116910129A CN 202310940077 A CN202310940077 A CN 202310940077A CN 116910129 A CN116910129 A CN 116910129A
Authority
CN
China
Prior art keywords
user
enterprise
labels
tag
preset
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310940077.6A
Other languages
Chinese (zh)
Inventor
江雄
黄威威
邹伟东
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Qizhi Technology Co ltd
Original Assignee
Qizhi Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Qizhi Technology Co ltd filed Critical Qizhi Technology Co ltd
Priority to CN202310940077.6A priority Critical patent/CN116910129A/en
Publication of CN116910129A publication Critical patent/CN116910129A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • G06F16/285Clustering or classification

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

An enterprise label display method and device relate to the field of enterprise label display; the method comprises the following steps: acquiring enterprise keywords input by a user; matching in a preset enterprise database according to enterprise keywords to obtain enterprise information, wherein the enterprise information comprises target enterprise labels; acquiring labels of interest of a user; judging whether a label interested by a user exists in the target enterprise labels or not; if the labels of interest to the user exist in the target enterprise labels, ordering the labels of interest to the user according to a preset rule; and displaying the ordered labels which are interested by the user to the user. By implementing the technical scheme provided by the application, the problem that the enterprise tag cannot be displayed in a personalized way for the user can be solved.

Description

Enterprise tag display method and device
Technical Field
The application relates to the field of enterprise label display, in particular to an enterprise label display method and device.
Background
With the development of the internet, many websites aggregate various kinds of information of an enterprise, for example, after searching for an enterprise name, the websites can display labels, profiles, business information, employee information, and the like of the enterprise, which greatly simplifies the process of people to know an enterprise.
However, some websites display too complicated enterprise information, for example, in the enterprise tag plate, the number of tags of part of enterprises is too large, and websites often display all the tags; the user needs to search for interesting labels from a large number of enterprise labels, namely the enterprise labels cannot be displayed individually for the user.
Therefore, there is a need for an enterprise tag display method and apparatus.
Disclosure of Invention
The application provides an enterprise tag display method and device, which can solve the problem that enterprise tags cannot be displayed individually for users.
The application provides an enterprise tag display method in a first aspect, which is applied to a server and comprises the following steps: acquiring enterprise keywords input by a user; matching in a preset enterprise database according to enterprise keywords to obtain enterprise information, wherein the enterprise information comprises target enterprise labels; acquiring labels of interest of a user; judging whether a label interested by a user exists in the target enterprise labels or not; if the labels of interest to the user exist in the target enterprise labels, ordering the labels of interest to the user according to a preset rule; and displaying the ordered labels which are interested by the user to the user.
By adopting the technical scheme, the server sorts the labels of interest of the user in the enterprise information corresponding to the keywords according to the keywords input by the user and the label types of interest of the user and displays the labels to the user, so that the user is not required to search the labels of interest by himself; the labels are ordered according to a preset rule, so that the labels interested by the user are clear, and the labels can be displayed according to the user requirements.
Optionally, acquiring the tag of interest of the user specifically includes: responding to the setting operation of the user for the interesting tag; and taking the interested label corresponding to the setting operation as the interested label of the user.
By adopting the technical scheme, the server acquires the types of the labels of interest preset by the user, so that the labels in the enterprise information can be screened according to the types of the labels selected by the user in the later step.
Optionally, acquiring the tag of interest of the user specifically includes: acquiring a history browsing record of a user aiming at a tag; and taking the labels with browsing times larger than or equal to the preset first browsing times as labels interested by the user.
By adopting the technical scheme, the server can acquire the tag frequency of the historical browsing enterprises according to the enterprise information of the historical browsing of the users, and the tags with high frequency indicate that the users are more prone to watch the enterprise information with the tags, wherein the high frequency means that the tag frequency is larger than or equal to the first browsing times; in this way, tags of interest to the user can be obtained.
Optionally, before the matching is performed in the preset enterprise database according to the enterprise keywords to obtain the enterprise information, constructing the preset enterprise database further includes: acquiring enterprise information, wherein the enterprise information comprises company names, registration places, establishment dates, legal representatives, product data, financial data, employee data, research and development investment data and honor data; acquiring a target enterprise tag, wherein the target enterprise tag is acquired by preprocessing long text information in enterprise information, and the long text information is text information with a character length greater than or equal to a preset length threshold value; a preset enterprise database is constructed, wherein the preset enterprise database comprises enterprise information, target enterprise labels and corresponding relations between the enterprise information and the target enterprise labels.
By adopting the technical scheme, the server gathers enterprise information of multiple aspects and extracts enterprise labels corresponding to enterprises from the enterprise information; and constructing a preset enterprise database by the enterprise information, the enterprise labels and the corresponding relation between the enterprise information and the enterprise labels, wherein the corresponding relation can be used for searching the enterprise information or the enterprise labels.
Optionally, the preset rule specifically includes: acquiring interest priority preset by a user; according to the interest priority preset by the user, the labels interested by the user are divided into a first type of labels and a second type of labels, and the display priority of the first type of labels is higher than that of the second type of labels.
Through adopting above-mentioned technical scheme, the server can be according to the interest priority that the user set up, divide into different priorities with the label that the user is interested in to in subsequent step, can make the label show the place inferior to be clear, possess different levels, make the user can be prioritized and see the label that oneself is interested relatively more.
Optionally, the preset rule specifically includes: when the browsing times of the labels of interest to the user are larger than the preset second browsing times, taking the labels of interest to the user as third type labels; when the browsing times of the labels of interest to the user are larger than or equal to the preset first browsing times and smaller than or equal to the preset second browsing times, the labels of interest to the user are used as fourth type labels; the fourth type of tags have a presentation priority that is less than the presentation priority of the third type of tags.
By adopting the technical scheme, the server can classify the labels interested by the user according to the enterprise label browsing times of the user after historical browsing, wherein when the browsing times of one type of labels are larger than the second browsing times, the labels interested by the user are considered to be relatively more interested in the labels interested by the user; for convenience of explanation, only two categories are divided, and in practical situations, more than two categories may be set according to requirements, so that tags of interest to users have more levels and priorities.
Optionally, displaying the ordered labels interested by the user to the user, which specifically includes: displaying the third type label and the fourth type label to a user; wherein the third type of tag is presented before the fourth type of tag.
By adopting the technical scheme, the server places the third type of labels which are more interested by the user in the area in front of the fourth type of label display area, so that the user can see the third type of labels preferentially, and further the user can acquire the labels which want to know more quickly.
The application provides an enterprise label display device in a second aspect, wherein the device is a server, and the server comprises an acquisition unit and a processing unit;
the acquisition unit is used for acquiring enterprise keywords input by a user; and acquiring the labels interested by the user.
The processing unit is used for matching in a preset enterprise database according to the enterprise keywords to obtain enterprise information, wherein the enterprise information comprises a target enterprise label; judging whether a label interested by a user exists in the target enterprise labels or not; if the labels of interest to the user exist in the target enterprise labels, ordering the labels of interest to the user according to a preset rule; and displaying the ordered labels which are interested by the user to the user.
Optionally, the processing unit is used for responding to the setting operation of the user for the interesting tag; and taking the interested label corresponding to the setting operation as the interested label of the user.
Optionally, the acquiring unit is configured to acquire a history browsing record of the user for the tag; the processing unit is used for taking the labels with browsing times greater than or equal to the preset first browsing times as the labels interested by the user.
Optionally, the acquiring unit is configured to acquire enterprise information, where the enterprise information includes a company name, a registration place, a date of establishment, a legal representative, product data, financial data, employee data, research and development investment data, and honor data; acquiring a target enterprise tag, wherein the target enterprise tag is acquired by preprocessing long text information in enterprise information, and the long text information is text information with a character length greater than or equal to a preset length threshold value; the processing unit is used for constructing a preset enterprise database, and the preset enterprise database comprises enterprise information, target enterprise labels and corresponding relations between the enterprise information and the target enterprise labels.
Optionally, the acquiring unit is configured to acquire an interest priority preset by a user; the processing unit is used for dividing the labels interested by the user into a first type of labels and a second type of labels according to the interest priority preset by the user, and the display priority of the first type of labels is higher than that of the second type of labels.
Optionally, the processing unit is configured to use the tag of interest of the user as the third type tag when the browsing frequency of the tag of interest of the user is greater than the preset second browsing frequency; when the browsing times of the labels of interest to the user are larger than or equal to the preset first browsing times and smaller than or equal to the preset second browsing times, the labels of interest to the user are used as fourth type labels; the fourth type of tags have a presentation priority that is less than the presentation priority of the third type of tags.
Optionally, the processing unit is configured to display the third type tag and the fourth type tag to the user; wherein the third type of tag is presented before the fourth type of tag.
The present application provides in a third aspect an electronic device comprising a processor, a memory for storing instructions, a user interface and a network interface for communicating with other devices, the processor for executing instructions stored in the memory to cause the electronic device to perform any one of the possible implementation methods of the first aspect or the first aspect above.
The present application provides in a fourth aspect a computer readable storage medium storing a computer program for execution by a processor as described above or any one of the possible implementation manners of the first aspect.
In summary, one or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. the server sorts the labels of interest of the user in the enterprise information corresponding to the keywords according to the keywords input by the user and the label types of interest of the user, and displays the labels to the user, so that the user is not required to search the labels of interest by himself; the labels are ordered according to a preset rule, so that the labels interested by the user are clear, and the labels can be displayed according to the user requirements.
2. The server can acquire the tag frequency of the historic browsing enterprises according to the enterprise information of the historic browsing of the users, and the tags with high frequency indicate that the users are more prone to watch the enterprise information with the tags, wherein the high frequency means that the tag frequency is larger than or equal to the first browsing times; in this way, tags of interest to the user can be obtained.
3. The server can classify labels interested by the user according to the enterprise label browsing times of historical browsing of the user, wherein when the browsing times of one type of labels are larger than the second browsing times, the labels interested by the user are considered to be relatively more interested in the labels interested by the user; for convenience of explanation, only two categories are divided, and in practical situations, more than two categories may be set according to requirements, so that tags of interest to users have more levels and priorities.
Drawings
Fig. 1 is a schematic flow chart of an enterprise tag display method according to an embodiment of the present application.
Fig. 2a is a diagram of an enterprise tag presentation page according to an embodiment of the present application.
FIG. 2b is a diagram of another enterprise tag presentation page provided in an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an enterprise tag display apparatus according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Reference numerals illustrate: 301. an acquisition unit; 302. a processing unit; 400. an electronic device; 401. a processor; 402. a communication bus; 403. a user interface; 404. a network interface; 405. a memory.
Detailed Description
In order that those skilled in the art will better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments.
In describing embodiments of the present application, words such as "for example" or "for example" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "such as" or "for example" in embodiments of the application should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "or" for example "is intended to present related concepts in a concrete fashion.
In the description of embodiments of the application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
Some websites display too complicated enterprise information, for example, in the enterprise tag plate, the number of tags of part of enterprises is too large, and websites often display all the tags; the user needs to search for interesting labels from a large number of enterprise labels, namely the enterprise labels cannot be displayed individually for the user. Therefore, the embodiment provides an enterprise tag display method.
The method for displaying an enterprise tag provided by the application can refer to fig. 1, and fig. 1 is a schematic flow chart of the method for displaying an enterprise tag provided by the embodiment of the application, which is applied to a server. The embodiment of the application specifically takes a scene for displaying enterprise information as an example. The method includes steps S101 to S106.
S101, acquiring enterprise keywords input by a user.
In the above steps, the server acquires the business keyword input by the user, where the business keyword may be a business name, a unified credit code, a company address, or the like, and may be a part of fields of the business keyword, however, in this case, the searched business information may be excessive, and in this case, the first searched piece, that is, the most relevant business information is regarded as the description object of the present embodiment.
For example, "A technology Co., ltd" is obtained as user input.
S102, matching is carried out in a preset enterprise database according to enterprise keywords to obtain enterprise information, wherein the enterprise information comprises target enterprise labels.
In the step, the server matches enterprise information of the corresponding enterprise in a preset enterprise database according to the enterprise keywords input by the user, wherein the specific matching method can be matching through semantic similarity; the matching can also be performed through the matching degree of the characters, namely the enterprise information with the most characters of the enterprise keywords is the enterprise information corresponding to the keywords, wherein the characters with the enterprise keywords are continuous, and the characters contained in the enterprise keywords are not discretely owned; the business information includes information such as a company name, a registration place, a date of establishment, a legal representative, product data, and the like, and also includes a target business label of the business extracted in advance, wherein the target business label refers to a plurality of business labels.
In the above example, the server matches the enterprise information of the enterprise a according to the keyword "a technology limited", the enterprise information includes the enterprise tag, specifically including the tag a, the tag b, the tag c, and the tag d.
In a possible implementation manner, before the matching is performed in the preset enterprise database according to the enterprise keywords to obtain the enterprise information, the method further includes constructing the preset enterprise database, where the constructing the preset enterprise database specifically includes: acquiring enterprise information, wherein the enterprise information comprises company names, registration places, establishment dates, legal representatives, product data, financial data, employee data, research and development investment data and honor data; acquiring a target enterprise tag, wherein the target enterprise tag is acquired by preprocessing long text information in enterprise information, and the long text information is text information with a character length greater than or equal to a preset length threshold value; a preset enterprise database is constructed, wherein the preset enterprise database comprises enterprise information, target enterprise labels and corresponding relations between the enterprise information and the target enterprise labels.
Specifically, the server acquires various aspect data of an enterprise from an enterprise information disclosure website through a crawler technology, wherein the information comprises company names, registration places, establishment dates, legal representatives, product data, financial data, employee data, research and development investment data, honor data and the like, and the data are aggregated in enterprise information of the enterprise; performing preprocessing such as word segmentation and stop word removal on long texts in the data to obtain a plurality of enterprise vocabularies, and performing feature extraction on the enterprise vocabularies and short byte information in the data to obtain an enterprise tag of the enterprise; constructing a corresponding relation between the enterprise information and the enterprise tag so that the enterprise tag of the enterprise is searched through the enterprise information or the enterprise information of the enterprise is searched through the enterprise tag; and storing the enterprise information, the enterprise labels and the corresponding relations into a preset enterprise database, acquiring the enterprise information, the enterprise labels and the corresponding relations of other enterprises through the steps, and storing the enterprise information, the enterprise labels and the corresponding relations into the preset enterprise database so as to update or construct the preset enterprise database.
S103, acquiring labels interested by the user.
In the above steps, the server obtains the label category of interest of the user and then obtains the label of interest of the user, and it is to be noted that the label category is set by the user by selecting in advance, the specific selection mode may be that the user selects different kinds of enterprise labels in a preset search setting interface, and simultaneously the user can set different priorities for different kinds of labels, so that the labels with higher priorities are displayed in the follow-up priority; regarding the label types which can be selected, the enterprise labels of each enterprise in a preset enterprise database can be obtained for duplication elimination, the labels with similar semantics are removed, the duplication elimination enterprise labels are classified, the enterprise labels can be classified by a method of similar semantic frequencies or semantic models of the labels, and label type names are obtained; the server may also obtain tags of interest to the user based on enterprise information the user has historically browsed.
In the above example, the server obtains the label category "enterprise product" and "industry track" of interest to the user, wherein, among the enterprise labels owned by the enterprise a, the label a and the label b belong to the "enterprise product" category label, the label c belongs to the "industry track" category label, and the label d belongs to the "region" category label.
In one possible implementation manner, obtaining the tag of interest to the user specifically includes: responding to the setting operation of the user for the interesting tag; and taking the interested label corresponding to the setting operation as the interested label of the user.
Specifically, the server acquires the label category of interest of the user, and then screens out the label which accords with the label category information of interest of the user from the retrieved target enterprise labels according to the label category as the label of interest of the user, wherein the setting operation is an operation of setting the label category of interest of the user.
In the above example, the label categories "enterprise products" and "industry tracks" of interest to the user are obtained, and the labels a and b belonging to the category "enterprise products" and the label c belonging to the category "industry tracks" in the enterprise labels are used as the labels of interest to the user.
In one possible implementation manner, obtaining the tag of interest to the user specifically includes: acquiring a history browsing record of a user aiming at a tag; and taking the labels with browsing times larger than or equal to the preset first browsing times as labels interested by the user.
Specifically, the server acquires enterprise information which is browsed by the user in a history way, counts enterprise labels and corresponding browsing times in the enterprise information, and considers that the labels are labels carried by enterprises which are interested by the user, namely labels which are interested by the user when the browsing times of a certain enterprise label exceeds a preset threshold value, namely a first browsing time; the first browsing frequency value can be set according to the actual requirement of the staff, and the first browsing frequency value generally increases along with the increase of the number of enterprises browsed by history.
In the above example, the enterprise information that the user has browsed historically is counted to obtain the enterprise tag of the enterprise a, wherein the browsing frequency of the tag a is 5, the browsing frequency of the tag b is 10, the browsing frequency of the tag c is 1, the browsing frequency of the tag d is 6, and the preset first browsing frequency is 4, so that the tags of interest to the user are tag a, tag b and tag d.
S104, judging whether the labels of interest to the user exist in the target enterprise labels.
In the above steps, after obtaining the target enterprise tag in the enterprise information queried by the user, the server judges whether the target enterprise tag includes the tag of interest to the user, because two ways of obtaining the tag of interest to the user exist in the above steps, the tag of interest needs to be respectively judged according to different ways; the first is to judge whether the target enterprise labels comprise labels belonging to the label category of interest to the user; the second is to judge whether the target enterprise labels comprise labels with browsing times greater than or equal to the first browsing times; either way, a determination is made as to whether there is a satisfactory tag of interest to the user.
S105, if the labels interested by the user exist in the target enterprise labels, sorting the labels interested by the user according to a preset rule.
In the step, if the labels interested by the user exist in the target enterprise labels, the labels interested by the user are ordered according to a preset rule; if the target enterprise labels do not have labels of interest to the user, preset information is displayed in the label display area, the preset information can be a sentence, and the preset information is set according to the requirements of staff and is used for reminding the user that the enterprise does not contain the labels of interest to the user.
In the above example, if the first determination method is used, that is, the determination is performed by the tag type of interest to the user, then, among the enterprise tags owned by the enterprise a, the tag b, and the tag c belong to the tags of interest to the user; if the second judging method is used, in the enterprise labels owned by the enterprise A, the label a, the label b and the label d belong to the labels interested by the user; and sequencing the labels interested by the user according to a preset rule.
In one possible implementation, the preset rule specifically includes: acquiring interest priority preset by a user; according to the interest priority preset by the user, the labels interested by the user are divided into a first type of labels and a second type of labels, and the display priority of the first type of labels is higher than that of the second type of labels.
Specifically, the server acquires the interest priority set in advance by the user, and the user can set the priority of the interest label class together when selecting the interest label class, or can set the interest label class at other occasions before the step; according to the obtained interest priority, the labels which are interested by the user are classified according to the priority, and can be classified into a plurality of categories according to the priorities, namely, the number of the specific categories is not limited to the first category labels and the second category labels mentioned in the steps, and the classification into the two categories is only for convenience of explanation; classifying according to the interest priority, and setting corresponding display priority, wherein if the interest priority of the first type of tag is greater than that of the second type of tag in the step description, the display priority of the first type of tag is greater than that of the second type of tag.
In the above example, the interest priority preset by the user is obtained, wherein the user sets a first priority for the interested label category "enterprise product", i.e. the category with the highest priority, and sets a second priority for the "industry track", i.e. the priority is inferior to the first priority; the server sets high display priority for 'enterprise products' and low display priority for 'industry tracks'; that is, in actual showing, the label a and the label b under the category of "enterprise products" are shown before the label c under the category of "industrial track", and referring specifically to fig. 2a, fig. 2a is a page diagram showing enterprise labels according to an embodiment of the present application.
In one possible implementation, the preset rule specifically includes: when the browsing times of the labels of interest to the user are larger than the preset second browsing times, taking the labels of interest to the user as third type labels; when the browsing times of the labels of interest to the user are larger than or equal to the preset first browsing times and smaller than or equal to the preset second browsing times, the labels of interest to the user are used as fourth type labels; the fourth type of tags have a presentation priority that is less than the presentation priority of the third type of tags.
Specifically, the server sets a frequency priority for the tag of interest to the user, and when the browsing frequency of the tag of interest to the user is greater than a preset second browsing frequency, the frequency priority of the tag is considered to be higher than the tag of which the browsing frequency is less than or equal to the second browsing frequency and greater than the first browsing frequency, and it is required to be explained that the second browsing frequency is greater than the first browsing frequency; in order to facilitate the description, only one second browsing frequency is set to divide the labels of interest to the user into two categories with different frequency priorities, in practical situations, a plurality of preset browsing frequency judgment values can be set according to the requirements of staff, so as to divide the labels of interest to the user into more than two categories with frequency priorities.
In the above example, the number of views of the tag a is 5, the number of views of the tag b is 10, the number of views of the tag d is 6, and the second number of views is set to 7, then the tag b is used as the third type tag, the tag a and the tag d are used as the fourth type tag, the display priority of the tag b is higher than that of the tag a and the tag d, and the tag b is displayed before the tag a and the tag d, wherein the tag d is displayed before the tag a because the number of views of the tag d is higher.
S106, displaying the ordered labels which are interested by the user to the user.
In the step, the labels which are interested by the users are sequenced according to the preset rules of the respective modes by means of judging the labels which are interested by the users, and then the labels which are interested by the users after sequencing are displayed to the users.
In the above example, the labels of interest of the user are determined according to the label types of interest of the user, and after the labels of interest are ordered according to the preset rule set interest priority, the labels of interest are displayed, and the display page can refer to fig. 2a, fig. 2a is an enterprise label display page diagram provided by the embodiment of the present application, and it can be seen that the specific display conditions of the labels are label a, label b and label c; judging the labels interested by the user through the browsing times of the historical browsing labels of the user, and after ordering the labels interested according to the preset rule and setting the frequency priority, displaying the labels interested, wherein the display page can refer to fig. 2b, and fig. 2b is another enterprise label display page diagram provided by the embodiment of the application, and the specific display conditions of the labels are label b, label d and label a.
In one possible implementation manner, the ordered labels of interest to the user are displayed to the user, and the method specifically comprises the following steps: displaying the third type label and the fourth type label to a user; wherein the third type of tag is presented before the fourth type of tag.
Specifically, since the third type of tag is displayed with higher priority than the fourth type of tag, the third type of tag is displayed before the fourth type of tag, and of course, the user can see the third type of tag preferentially and then see the fourth type of tag according to other layer considerations; in the embodiment, the third type of labels are arranged at the left side of the fourth type of labels according to the reading habit of the staff, namely the sequence of reading characters from left to right, so that the third type of labels can be seen by a user preferentially; when a plurality of labels exist in one type of labels, the labels with higher browsing times are placed in positions which can be seen by users preferentially.
In the above example, the label b is displayed with higher priority than the labels a and d, and the label b is displayed on the left side of the labels a and b, referring to fig. 2b, fig. 2b is another enterprise label display page provided by the embodiment of the present application.
The application also provides an enterprise tag display device, which comprises an acquisition unit 301 and a processing unit 302, and is described with reference to fig. 3.
An obtaining unit 301, configured to obtain an enterprise keyword input by a user; and acquiring the labels interested by the user.
The processing unit 302 is configured to match the enterprise keywords in a preset enterprise database to obtain enterprise information, where the enterprise information includes a target enterprise tag; judging whether a label interested by a user exists in the target enterprise labels or not; if the labels of interest to the user exist in the target enterprise labels, ordering the labels of interest to the user according to a preset rule; and displaying the ordered labels which are interested by the user to the user.
In one possible implementation, the processing unit 302 is configured to respond to a user setting operation for the tag of interest; and taking the interested label corresponding to the setting operation as the interested label of the user.
In a possible implementation manner, the obtaining unit 301 is configured to obtain a history browsing record of a tag by a user; the processing unit 302 is configured to use the tag with the browsing frequency greater than or equal to the preset first browsing frequency as the tag of interest to the user.
In one possible implementation, the obtaining unit 301 is configured to obtain enterprise information, where the enterprise information includes a company name, a registration place, a date of establishment, a legal representative, product data, financial data, employee data, research and development investment data, and honor data; acquiring a target enterprise tag, wherein the target enterprise tag is acquired by preprocessing long text information in enterprise information, and the long text information is text information with a character length greater than or equal to a preset length threshold value; the processing unit 302 is configured to construct a preset enterprise database, where the preset enterprise database includes enterprise information, a target enterprise tag, and a correspondence between the enterprise information and the target enterprise tag.
In a possible implementation manner, the obtaining unit 301 is configured to obtain an interest priority preset by a user; the processing unit 302 is configured to divide the tags interested by the user into a first type tag and a second type tag according to the interest priority preset by the user, where the display priority of the first type tag is greater than the display priority of the second type tag.
In a possible implementation manner, the processing unit 302 is configured to take the tag of interest of the user as the third type tag when the number of times of browsing the tag of interest of the user is greater than the preset second number of times of browsing; when the browsing times of the labels of interest to the user are larger than or equal to the preset first browsing times and smaller than or equal to the preset second browsing times, the labels of interest to the user are used as fourth type labels; the fourth type of tags have a presentation priority that is less than the presentation priority of the third type of tags.
In a possible implementation, the processing unit 302 is configured to present the third type of tag and the fourth type of tag to the user; wherein the third type of tag is presented before the fourth type of tag.
It should be noted that: in the device provided in the above embodiment, when implementing the functions thereof, only the division of the above functional modules is used as an example, in practical application, the above functional allocation may be implemented by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the embodiments of the apparatus and the method provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the embodiments of the method are detailed in the method embodiments, which are not repeated herein.
The application also discloses a computer readable storage medium storing a computer program for executing the enterprise tag presentation method disclosed in the above specification by a processor.
The application also discloses electronic equipment. Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device 400 may include: at least one processor 401, at least one communication bus 402, at least one user interface 403, a network interface 404, a memory 405.
Wherein communication bus 402 is used to enable connected communications between these components.
The user interface 403 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 403 may further include a standard wired interface and a standard wireless interface.
The network interface 404 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the processor 401 may include one or more processing cores. The processor 401 connects the various parts within the entire server using various interfaces and lines, performs various functions of the server and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 405, and invoking data stored in the memory 405. Alternatively, the processor 401 may be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 401 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 401 and may be implemented by a single chip.
The Memory 405 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 405 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 405 may be used to store instructions, programs, code sets, or instruction sets. The memory 405 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described various method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. The memory 405 may also optionally be at least one storage device located remotely from the aforementioned processor 401. Referring to FIG. 4, an operating system, a network communication module, a user interface module, and an enterprise tag presentation program may be included in memory 405, which is a type of computer storage medium.
In the electronic device 400 shown in fig. 4, the user interface 403 is mainly used as an interface for providing input for a user, and obtains data input by the user; and processor 401 may be used to invoke an enterprise tag presentation program stored in memory 405, which when executed by one or more processors 401, causes electronic device 400 to perform the method as in one or more of the embodiments described above. It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all of the preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
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 over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
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 memory. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in whole or in part in the form of a software product stored in a memory, 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 of the various embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.
The above are merely exemplary embodiments of the present disclosure and are not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure.
This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.

Claims (10)

1. An enterprise tag presentation method, applied to a server, the method comprising:
acquiring enterprise keywords input by a user;
matching in a preset enterprise database according to the enterprise keywords to obtain enterprise information, wherein the enterprise information comprises a target enterprise label;
acquiring labels of interest of a user;
judging whether a label interested by the user exists in the target enterprise label or not;
if the labels interested by the user exist in the target enterprise labels, sorting the labels interested by the user according to a preset rule;
and displaying the ordered labels which are interested by the user to the user.
2. The method according to claim 1, wherein the obtaining the tag of interest to the user specifically comprises:
responding to the setting operation of the user for the interesting tag;
and taking the interested label corresponding to the setting operation as the interested label of the user.
3. The method according to claim 1, wherein the obtaining the tag of interest to the user specifically comprises:
acquiring a history browsing record of the user aiming at the tag;
and taking the labels with browsing times larger than or equal to the preset first browsing times as the labels interested by the user.
4. The method according to claim 1, wherein before the matching is performed in a preset enterprise database according to the enterprise keyword to obtain enterprise information, the method further comprises constructing the preset enterprise database, and the constructing the preset enterprise database specifically includes:
acquiring the enterprise information, wherein the enterprise information comprises company names, registration places, establishment dates, legal representatives, product data, financial data, employee data, research and development investment data and honor data;
acquiring the target enterprise tag, wherein the target enterprise tag is acquired by preprocessing long text information in the enterprise information, and the long text information is text information with character length greater than or equal to a preset length threshold value;
the preset enterprise database is constructed, and the preset enterprise database comprises the enterprise information, the target enterprise label and the corresponding relation between the enterprise information and the target enterprise label.
5. The method according to claim 2, wherein the preset rule specifically comprises:
acquiring interest priority preset by the user;
according to the interest priority preset by the user, the labels which are interested by the user are divided into a first type of labels and a second type of labels, and the display priority of the first type of labels is higher than that of the second type of labels.
6. A method according to claim 3, wherein the preset rules specifically include:
when the browsing times of the labels of interest to the user are larger than the preset second browsing times, taking the labels of interest to the user as third-class labels;
when the browsing times of the labels of interest to the user are larger than or equal to the preset first browsing times and smaller than or equal to the preset second browsing times, the labels of interest to the user are used as fourth type labels; the display priority of the fourth type of tags is smaller than the display priority of the third type of tags.
7. The method according to claim 6, wherein the presenting the ranked tags of interest to the user specifically comprises:
displaying the third type tag and the fourth type tag to the user; wherein the third type of tag is shown before the fourth type of tag.
8. An enterprise tag presentation apparatus, characterized in that the apparatus is a server comprising an acquisition unit (301) and a processing unit (302):
the acquiring unit (301) is configured to acquire an enterprise keyword input by a user; acquiring labels of interest of a user;
the processing unit (302) is configured to match the enterprise keywords in a preset enterprise database to obtain enterprise information, where the enterprise information includes a target enterprise tag; judging whether a label interested by the user exists in the target enterprise label or not; if the labels interested by the user exist in the target enterprise labels, sorting the labels interested by the user according to a preset rule; and displaying the ordered labels which are interested by the user to the user.
9. An electronic device comprising a processor (401), a memory (405), a user interface (403) and a network interface (404), the memory (405) being configured to store instructions, the user interface (403) and the network interface (404) being configured to communicate to other devices, the processor (401) being configured to execute the instructions stored in the memory (405) to cause the electronic device (400) to perform the method according to any of claims 1 to 7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program which, when executed by a processor, implements the method according to any of the preceding claims 1 to 7.
CN202310940077.6A 2023-07-28 2023-07-28 Enterprise tag display method and device Pending CN116910129A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310940077.6A CN116910129A (en) 2023-07-28 2023-07-28 Enterprise tag display method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310940077.6A CN116910129A (en) 2023-07-28 2023-07-28 Enterprise tag display method and device

Publications (1)

Publication Number Publication Date
CN116910129A true CN116910129A (en) 2023-10-20

Family

ID=88352932

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310940077.6A Pending CN116910129A (en) 2023-07-28 2023-07-28 Enterprise tag display method and device

Country Status (1)

Country Link
CN (1) CN116910129A (en)

Similar Documents

Publication Publication Date Title
CN107704512B (en) Financial product recommendation method based on social data, electronic device and medium
US11176142B2 (en) Method of data query based on evaluation and device
US9830386B2 (en) Determining trending topics in social media
US9881037B2 (en) Method for systematic mass normalization of titles
JP4637969B1 (en) Properly understand the intent of web pages and user preferences, and recommend the best information in real time
US20190243850A1 (en) Perspective data analysis and management
US8209214B2 (en) System and method for providing targeted content
CN109829108B (en) Information recommendation method and device, electronic equipment and readable storage medium
US9483740B1 (en) Automated data classification
CN110263248A (en) A kind of information-pushing method, device, storage medium and server
JP2009543203A (en) Visual multidimensional search
US11263523B1 (en) System and method for organizational health analysis
WO2009002526A1 (en) System and method for providing targeted content
CN106991175B (en) Customer information mining method, device, equipment and storage medium
CN107767273B (en) Asset configuration method based on social data, electronic device and medium
US20140379719A1 (en) System and method for tagging and searching documents
US20160299951A1 (en) Processing a search query and retrieving targeted records from a networked database system
CN112989824A (en) Information pushing method and device, electronic equipment and storage medium
US9516089B1 (en) Identifying and processing a number of features identified in a document to determine a type of the document
CN111782946A (en) Book friend recommendation method, calculation device and computer storage medium
CN108470289B (en) Virtual article issuing method and equipment based on E-commerce shopping platform
US10042913B2 (en) Perspective data analysis and management
CN114090877A (en) Position information recommendation method and device, electronic equipment and storage medium
CN116933130A (en) Enterprise industry classification method, system, equipment and medium based on big data
CN111144122A (en) Evaluation processing method, evaluation processing device, computer system, and medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination