WO2019024496A1 - 企业推荐方法及应用服务器 - Google Patents

企业推荐方法及应用服务器 Download PDF

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Publication number
WO2019024496A1
WO2019024496A1 PCT/CN2018/077656 CN2018077656W WO2019024496A1 WO 2019024496 A1 WO2019024496 A1 WO 2019024496A1 CN 2018077656 W CN2018077656 W CN 2018077656W WO 2019024496 A1 WO2019024496 A1 WO 2019024496A1
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Prior art keywords
enterprise
information
demand
target
target enterprise
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English (en)
French (fr)
Inventor
汪伟
徐冰
王鸿滨
朱伟峰
肖京
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Ping An Technology Shenzhen Co Ltd
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Ping An Technology Shenzhen Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation

Definitions

  • the present application relates to the field of communications technologies, and in particular, to an enterprise recommendation method and an application server.
  • the present application proposes an enterprise recommendation method and an application server, which can actively acquire the demand information of the enterprise, and recommend a matching enterprise for the enterprise according to the demand information of the enterprise.
  • the present application provides an application server including a memory, a processor, and an enterprise recommendation program stored on the memory and executable on the processor, the enterprise recommendation program
  • the following steps are implemented when executed by the processor:
  • the present application further provides an enterprise recommendation method, which is applied to an application server, and the method includes:
  • the present application further provides a computer readable storage medium storing an enterprise recommendation program, the enterprise recommendation program being executable by at least one processor to enable the At least one processor performs the steps of the enterprise recommendation method as described above.
  • the application server, the enterprise recommendation method, and the computer readable storage medium proposed by the present application first establish an enterprise feature table in advance; and then, according to the enterprise feature table, establish a matching table of supply and demand relationships of each enterprise; And obtaining the demand information of the target enterprise; finally, recommending the matching enterprise for the target enterprise according to the demand information and the enterprise supply and demand relationship matching table.
  • the disadvantages of the prior art enterprises spending a large amount of time and manpower actively searching for the cooperative enterprise, actively obtaining the demand information of the target enterprise, and recommending the matching enterprise for the target enterprise according to the demand information of the target enterprise. Achieving intelligent and efficient corporate recommendation services.
  • FIG. 1 is a schematic diagram of an optional application environment of each embodiment of the present application.
  • FIG. 2 is a schematic diagram of an optional hardware architecture of the application server of FIG. 1;
  • FIG. 3 is a schematic diagram of program modules of the first, second, third and fourth embodiments of the enterprise recommendation procedure of the present application;
  • FIG. 4 is a schematic diagram of an implementation process of a first embodiment of a method for recommending an enterprise according to the present application
  • FIG. 5 is a schematic diagram of an implementation process of a second embodiment of a method for recommending an enterprise according to the present application
  • FIG. 6 is a schematic flowchart of an implementation process of a third embodiment of a method for recommending an enterprise according to the present application
  • FIG. 7 is a schematic diagram of an implementation process of a fourth embodiment of a method for recommending an enterprise according to the present application.
  • Mobile terminal 1 application server 2 The internet 3 Memory 11 processor 12 Network Interface 13 Corporate recommendation procedure 200 First building module 201 Second building module 202 Acquisition module 203 Recommended module 204
  • first, second and the like in the present application are for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. .
  • features defining “first” and “second” may include at least one of the features, either explicitly or implicitly.
  • the technical solutions between the various embodiments may be combined with each other, but must be based on the realization of those skilled in the art, and when the combination of the technical solutions is contradictory or impossible to implement, it should be considered that the combination of the technical solutions does not exist. Nor is it within the scope of protection required by this application.
  • FIG. 1 it is a schematic diagram of an optional application environment of each embodiment of the present application.
  • the present application is applicable to an application environment including, but not limited to, a mobile terminal 1, an application server 2, and a network 3.
  • the mobile terminal 1 may be a mobile phone, a smart phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a navigation device, an in-vehicle device, etc.
  • Mobile devices such as, and fixed terminals such as digital TVs, desktop computers, notebooks, servers, and the like.
  • the application server 2 may be a computing device such as a rack server, a blade server, a tower server, or a rack server.
  • the application server 2 may be a stand-alone server or a server cluster composed of multiple servers.
  • the network 3 may be an intranet, an Internet, a Global System of Mobile communication (GSM), a Wideband Code Division Multiple Access (WCDMA), a 4G network, Wireless or wired networks such as 5G networks, Bluetooth, Wi-Fi, and
  • the application server 2 is respectively connected to one or more of the mobile terminals 1 (only one shown in the figure) through the network 3, and each of the mobile terminals 1 is installed and operated.
  • the application client corresponding to the application server 2 (hereinafter referred to as "mobile terminal client").
  • the mobile terminal client is configured to create a long connection between the mobile terminal client and the application server 2 in response to an operation of the mobile terminal user, so that the mobile terminal client can pass the long connection and the The application server 2 performs data transmission and interaction.
  • the application server 2 when the enterprise recommendation program 200 is installed and run in the application server 2, when the enterprise recommendation program 200 is running, the application server 2 pre-establishes an enterprise feature table, according to the enterprise feature table. A matching table of the enterprise supply and demand relationship is established. After the application server 2 obtains the demand information of the target enterprise, the matching enterprise is recommended to the target enterprise according to the demand information and the enterprise supply and demand relationship matching table, so that the application server 2 The company can actively obtain the demand information of the enterprise, and recommend matching companies to the enterprise according to the demand information of the enterprise. Achieving intelligent and efficient corporate recommendation services.
  • FIG. 2 it is a schematic diagram of an optional hardware architecture of the application server 2 in FIG.
  • the application server 2 may include, but is not limited to, the memory 11, the processor 12, and the network interface 13 being communicably connected to each other through a system bus. It is pointed out that FIG. 2 only shows the mobile terminal 1 with the components 11-13, but it should be understood that not all illustrated components are required to be implemented, and more or fewer components may be implemented instead.
  • the memory 11 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (eg, SD or DX memory, etc.), and a random access memory (RAM). , static random access memory (SRAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), programmable read only memory (PROM), magnetic memory, magnetic disk, optical disk, and the like.
  • the memory 11 may be an internal storage unit of the application server 2, such as a hard disk or memory of the application server 2.
  • the memory 11 may also be an external storage device of the application server 2, such as a plug-in hard disk equipped on the application server 2, a smart memory card (SMC), and a secure digital number. (Secure Digital, SD) card, flash card, etc.
  • the memory 11 can also include both the internal storage unit of the application server 2 and its external storage device.
  • the memory 11 is generally used to store an operating system installed on the application server 2 and various types of application software, such as program codes of the enterprise recommendation program 200. Further, the memory 11 can also be used to temporarily store various types of data that have been output or are to be output.
  • the processor 12 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments.
  • the processor 12 is typically used to control the overall operation of the application server 2, such as performing control and processing related to data interaction or communication with the mobile terminal 1.
  • the processor 12 is configured to run program code or process data stored in the memory 11, such as running the enterprise recommendation program 200 and the like.
  • the network interface 13 may comprise a wireless network interface or a wired network interface, which is typically used to establish a communication connection between the application server 2 and other electronic devices.
  • the network interface 13 is mainly used to connect the application server 2 to one or more mobile terminals 1 through the network 3, and the application server 2 and the one or more mobiles. A data transmission channel and a communication connection are established between the terminals 1.
  • the present application proposes an enterprise recommendation program 200.
  • the enterprise recommendation program 200 may be divided into one or more modules, and the one or more modules are stored in the memory 11 and are composed of one or more processors (this embodiment) This is performed by the processor 12) to complete the application.
  • the industry recommendation program 200 can be divided into a first establishing module 201, a second establishing module 202, an obtaining module 203, and a recommending module 204.
  • the program module referred to in the present application refers to a series of computer program instruction segments capable of performing a specific function, and is more suitable than the program to describe the execution process of the industry recommendation program 200 in the application server 2. The functions of each of the program modules 201-204 will be described in detail below.
  • the first establishing module 201 is configured to pre-establish an enterprise feature table in a database of the application server 2.
  • the manner of establishing the enterprise feature table in advance may be that the administrator imports through the database in the background of the application server 2.
  • the manner of establishing the enterprise feature table in advance may also be that the first establishing module 201 of the application server 2 establishes an enterprise feature table by using news information.
  • the enterprise information information includes: a title of the information, an industry type, and an information content.
  • the second establishing module 202 is configured to establish, according to the enterprise feature table, each enterprise supply and demand relationship matching table.
  • the enterprise supply and demand relationship matching table is established according to the information information of the enterprise feature table.
  • the enterprise in order to perform enterprise information matching more quickly, the enterprise may be classified according to the enterprise information, that is, the supply and demand relationship matching table further includes the category of the enterprise.
  • the category of the enterprise For example: clothing industry, financial industry, manufacturing and so on.
  • Each business category is not limited to only one category depending on the business situation.
  • company A can belong to both the financial industry and the electronics industry.
  • the enterprise supply and demand relationship matching table can be in the following form:
  • Company Name Business category supply demand > A Electronics Industry / Financial Industry Fund management IC component B Financial sector Provide loans C it Electronic component supplier D it Electronic component manufacturing
  • the obtaining module 203 is configured to acquire demand information of the target enterprise. Specifically, the obtaining module 203 can obtain the demand information of the target enterprise through the mobile terminal 1. For example, the information about the target enterprise can be obtained through the operation of the client user of the mobile terminal 1 and the information of the client of the mobile terminal 1. The specific steps are as follows. Carry out the details.
  • the recommendation module 204 is configured to recommend a matching enterprise to the target enterprise according to the requirement information and the enterprise supply and demand relationship matching table.
  • the recommendation module 204 generates a recommendation list to the target enterprise.
  • the first establishing module 201 of the application server 2 pre-establishes an enterprise feature table
  • the second establishing module 202 establishes each enterprise supply and demand relationship matching table according to the enterprise feature table
  • the obtaining module 203 acquires a target enterprise.
  • Demand information The recommendation module 204 recommends a matching enterprise for the target enterprise according to the demand information and the enterprise supply and demand relationship matching table.
  • the application server 2 can actively acquire the demand information of the enterprise, and recommend the matching enterprise to the enterprise according to the demand information of the enterprise. Achieving intelligent and efficient corporate recommendation services.
  • the enterprise recommendation program 200 proposed by the present application firstly establishes an enterprise feature table in advance, and secondly, establishes each enterprise supply and demand relationship matching table according to the enterprise feature table, and then, the application server 2
  • the mobile terminal 1 can obtain the demand information of the target enterprise, and finally, the matching enterprise is recommended for the target enterprise according to the demand information and the enterprise supply and demand relationship matching table.
  • the disadvantages of the prior art enterprises spending a lot of time and manpower to actively search for the cooperative enterprise are avoided, the enterprise demand information is actively obtained, and the matching enterprise is recommended for the enterprise according to the demand information of the enterprise. Achieving intelligent and efficient corporate recommendation services.
  • the first establishing module 201 is further configured to:
  • Extracting the keyword of the enterprise calculating the weight value of each keyword; sorting the weight value; selecting the sorted weight value according to the preset range, and using the keyword corresponding to the selected weight value as the enterprise label.
  • the extracted enterprise keywords are composed of an enterprise industry, a supply and demand type, a city, a common time, and an information category.
  • the extracted enterprise keywords can be obtained through the portal, news media, corporate information activities, etc. of the enterprise of the mobile terminal 1.
  • enterprise introduction, enterprise supply and demand resource description, information article information, activity content description information, and news information can all be used as sources of information for extracting corporate keywords.
  • the first establishing module 201 assigns different weights to each keyword, and calculates a weight value of each keyword, and at the same time, sorts the weight values and selects the sorted weight values according to the preset range (for example, Select the keyword with the highest weight value, such as the top three keywords. Finally, the keyword corresponding to the selected weight value is used as the enterprise label.
  • the information of the A company is obtained through the information information of the mobile terminal 1, "electronic supplier”, “requires financing of 10 million US dollars”, “investment new factory”, “IC chip supply”, “employee 10000+”, " The top 500 technology, "the number of patent applications is over one hundred”, etc., the weight for the industry category is 4 points, the weight value of the supply and demand relationship is 3 points, and the others are 2 points.
  • the keyword rankings of A companies are: first place: “electronic supplier” 4 points; second place: “requires financing 10 million US dollars” 3 points; second place: “IC chip supply” 3 points; fourth Name: “Investment in new factory”, “Employees 10000+”, “Technology Top 500”, “Other patents and other keywords”.
  • the first establishing module 201 of the application server 2 can set the top three keywords of the score to be the keywords of the A enterprise, so the keywords of the A enterprise are “electronic suppliers”, “need to raise 10 million US dollars” and “IC chip supply”. ". It should be noted that the extracted keywords are not limited to the top three keywords in the weight ranking, and can be set according to user needs.
  • the obtaining module 203 is further configured to:
  • the operation behavior of the user of the target enterprise on the client of the mobile terminal 1 is as follows:
  • each operation behavior will have a frequency record, and the information content involved in each operation behavior will correspond.
  • the corresponding label description According to these operational behaviors and label descriptions, the demand information of the enterprise where the user is located can be extracted.
  • the obtaining module 203 is further configured to perform semantic analysis according to the information information to obtain a requirement change of the target enterprise. Further, the obtaining module 203 further changes the enterprise feature table and the enterprise supply and demand relationship matching table according to the information of the demand change.
  • the application server 2 judges the change of the business direction and the development plan through the semantic analysis of the news sentences, and then provides the high-quality suppliers and suppliers in the industry.
  • the obtaining module 203 records the operation behavior of the user of the target enterprise; records the frequency of the operation behavior and the label description corresponding to the information content involved in the operation behavior; and according to the operation behavior and the The tag description extracts the demand information of the target enterprise.
  • the obtaining module 203 further performs semantic analysis according to the information information, and acquires a requirement change of the target enterprise.
  • the enterprise recommendation program 200 proposed by the present application can timely know the change of the target enterprise according to the operation behavior of the user of the target enterprise and the semantic analysis of the information information, and then recommend a high-quality matching enterprise to the target enterprise. .
  • the recommendation module 204 is further configured to:
  • the recommendation module 204 assigns different weight values to the industry, keywords, demand/supply, etc. of the enterprise.
  • the target enterprises that can limit the demand can only be selected from the enterprises that have the supply business, regardless of the enterprises with only the demand.
  • the B enterprise provides a loan
  • the C enterprise is an electronic component supplier
  • the D enterprise is an electronic component manufacturing
  • the preset parameters are set to “professionality” and “supply”, and the “professional” and “supply” weights are 0.6 and 0.4 respectively, and the “professional degree” is 3 points, and the manufacturing is 5 Points, the other is 1 point; the supplier in the "supply” is 2 points, the manufacturer is 3 points, and the others are 1 point.
  • the enterprise recommendation program 200 proposed by the present application can also calculate the matching degree of each enterprise relative to the target enterprise according to the entries of the enterprise supply and demand relationship matching table, and sort according to the matching degree. Generate a list of recommendations for the target enterprise.
  • the present application also proposes a company recommendation method.
  • FIG. 4 it is a schematic diagram of an implementation process of the first embodiment of the enterprise recommendation method of the present application.
  • the order of execution of the steps in the flowchart shown in FIG. 4 may be changed according to different requirements, and some steps may be omitted.
  • step S401 an enterprise feature table is pre-established in the database of the application server 2.
  • the manner of establishing the enterprise feature table in advance may be that the administrator imports through the database in the background of the application server 2.
  • the manner of establishing the enterprise feature table in advance may also be that the application server 2 establishes an enterprise feature table through the news information.
  • the enterprise information information includes: a title of the information, an industry type, and an information content. The specific steps will be described in detail in the second embodiment (see FIG. 5) of the company recommendation method of the present application.
  • Step S402 establishing, according to the enterprise feature table, a matching table of supply and demand relationships of each enterprise.
  • the application server 2 establishes a supply and demand relationship matching table of the enterprise according to the information information of the enterprise feature table.
  • the enterprise in order to perform enterprise information matching more quickly, the enterprise may be classified according to the enterprise information, that is, the supply and demand relationship matching table further includes the category of the enterprise.
  • the category of the enterprise For example: clothing industry, financial industry, manufacturing and so on.
  • Each business category is not limited to only one category depending on the business situation.
  • company A can belong to both the financial industry and the electronics industry.
  • the enterprise supply and demand relationship matching table can be in the following form:
  • Company Name Business category supply demand > A Electronics Industry / Financial Industry Fund management IC component B Financial sector Provide loans C it Electronic component supplier D it Electronic component manufacturing
  • Step S403 obtaining demand information of the target enterprise.
  • the application server 2 can obtain the demand information of the target enterprise through the mobile terminal 1.
  • the operation information of the client terminal of the mobile terminal 1 and the information information of the client of the mobile terminal 1 can be used to obtain the demand information of the target enterprise.
  • the third embodiment (see FIG. 6) of the company recommendation method of the present application will be described in detail.
  • Step S404 recommend matching companies for the target enterprise according to the demand information and the enterprise supply and demand relationship matching table. Specifically, the application server 2 generates a recommendation list to the target enterprise.
  • the application server 2 pre-establishes an enterprise feature table, and establishes a matching table of supply and demand relationships of the enterprises according to the enterprise feature table, and acquires the demand information of the target enterprise through the mobile terminal 1.
  • the application server 2 recommends a matching enterprise for the target enterprise according to the demand information and the enterprise supply and demand relationship matching table. In this way, the application server 2 can actively acquire the demand information of the enterprise, and recommend the matching enterprise to the enterprise according to the demand information of the enterprise. Achieving intelligent and efficient corporate recommendation services.
  • the enterprise recommendation method proposed by the present application firstly establishes an enterprise feature table in advance, and secondly, establishes each enterprise supply and demand relationship matching table according to the enterprise feature table, and then the application server 2 can
  • the mobile terminal 1 acquires the demand information of the target enterprise, and finally, the matching enterprise is recommended for the target enterprise according to the demand information and the enterprise supply and demand relationship matching table.
  • the disadvantages of the prior art enterprises spending a lot of time and manpower to actively search for the cooperative enterprise are avoided, the enterprise demand information is actively obtained, and the matching enterprise is recommended for the enterprise according to the demand information of the enterprise. Achieving intelligent and efficient corporate recommendation services.
  • the step of pre-establishing the enterprise feature table specifically includes:
  • Step S501 extracting a business keyword.
  • Step S502 calculating a weight value of each keyword.
  • Step S503 sorting the weight values.
  • Step S504 selecting the sorted weight values according to the preset range.
  • step S505 the keyword corresponding to the selected weight value is used as the enterprise label.
  • the extracted enterprise keywords are composed of an enterprise industry, a supply and demand type, a city, a common time, and an information category.
  • the extracted enterprise keywords can be obtained through the portal, news media, corporate information activities, etc. of the enterprise of the mobile terminal 1.
  • enterprise introduction, enterprise supply and demand resource description, information article information, activity content description information, and news information can all be used as sources of information for extracting corporate keywords.
  • the application server 2 assigns different weights to each keyword, and calculates the weight value of each keyword. At the same time, the weight values are sorted, and the sorted weight values are selected according to the preset range (for example, Select the keyword with the highest weight value, such as the top three keywords. Finally, the keyword corresponding to the selected weight value is used as the enterprise label.
  • the information of the A company is obtained through the information information of the mobile terminal 1, "electronic supplier”, “requires financing of 10 million US dollars”, “investment new factory”, “IC chip supply”, “employee 10000+”, " The top 500 technology, "the number of patent applications is over one hundred”, etc., the weight for the industry category is 4 points, the weight value of the supply and demand relationship is 3 points, and the others are 2 points.
  • the keyword rankings of A companies are: first place: “electronic supplier” 4 points; second place: “requires financing 10 million US dollars” 3 points; second place: “IC chip supply” 3 points; fourth Name: “Investment in new factory”, “Employees 10000+”, “Technology Top 500”, “Other patents and other keywords”.
  • the first establishing module 201 of the application server 2 can set the top three keywords of the score to be the keywords of the A enterprise, so the keywords of the A enterprise are “electronic suppliers”, “need to raise 10 million US dollars” and “IC chip supply”. ". It should be noted that the extracted keywords are not limited to the top three keywords in the weight ranking, and can be set according to user needs.
  • the enterprise recommendation method proposed by the present application can acquire enterprise characteristic information by acquiring tags of each enterprise according to the information information.
  • the step of acquiring the requirement information of the target enterprise includes:
  • Step S601 recording an operation behavior of a user of the target enterprise.
  • Step S602 recording the frequency of the operation behavior and the label description corresponding to the information content involved in the operation behavior.
  • Step S603 extracting demand information of the target enterprise according to the operation behavior and the label description.
  • the operation behavior of the user of the target enterprise on the client of the mobile terminal 1 is as follows:
  • each operation behavior will have a frequency record, and the information content involved in each operation behavior will correspond.
  • the corresponding label description According to these operational behaviors and label descriptions, the demand information of the enterprise where the user is located can be extracted.
  • the step of acquiring the requirement information of the target enterprise further includes:
  • step S604 semantic analysis is performed according to the information information, and the demand change of the target enterprise is obtained. Further, the application server 2 further changes the enterprise feature table and the enterprise supply and demand relationship matching table according to the information of the demand change.
  • the application server 2 judges the change of the business direction and the development plan through the semantic analysis of the news sentences, and then provides the high-quality suppliers and suppliers in the industry.
  • the application server 2 records the operation behavior of the user of the target enterprise; records the frequency of the operation behavior and the label description corresponding to the information content involved in the operation behavior; and according to the operation behavior and the The tag description extracts the demand information of the target enterprise.
  • the application server 2 also performs semantic analysis based on the information information to obtain a change in the requirements of the target enterprise.
  • the enterprise recommendation method proposed by the present application can timely know the target enterprise's demand change according to the user's operation behavior and the semantic analysis of the information information of the target enterprise, and then recommend a high-quality matching enterprise to the target. enterprise.
  • the step of recommending matching enterprises according to the requirement information and the enterprise supply and demand relationship matching table specifically includes:
  • Step S701 Select a plurality of preset parameters according to the entry of the enterprise supply and demand relationship matching table.
  • Step S702 assigning the plurality of preset parameters with different weights.
  • step S703 the matching degree of each enterprise with respect to the demand of the target enterprise is calculated.
  • Step S704 generating a recommendation list according to the calculated value of the matching degree.
  • the application server 2 gives the enterprise's industry, keywords, demand/supply, and the like different weight values.
  • the target enterprises that can limit the demand can only be selected from the enterprises that have the supply business, regardless of the enterprises with only the demand.
  • the B enterprise provides a loan
  • the C enterprise is an electronic component supplier
  • the D enterprise is an electronic component manufacturing
  • the preset parameters are set to “professionality” and “supply”, and the “professional” and “supply” weights are 0.6 and 0.4 respectively, and the “professional degree” is 3 points, and the manufacturing is 5 Points, the other is 1 point; the supplier in the "supply” is 2 points, the manufacturer is 3 points, and the others are 1 point.
  • the enterprise recommendation method proposed by the present application can also calculate the matching degree of each enterprise relative to the target enterprise according to the entry of the enterprise supply and demand relationship matching table, and according to the matching degree, The target company generates a list of recommendations.
  • the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better.
  • Implementation Based on such understanding, the technical solution of the present application, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk,
  • the optical disc includes a number of instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in the various embodiments of the present application.

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Abstract

一种企业推荐方法和应用服务器(2)，所述应用服务器(2)包括存储器(11)、处理器(12)及存储在所述存储器(11)上并可在所述处理器(12)上运行的企业推荐程序(200)，所述企业推荐程序(200)被所述处理器(12)执行时实现如下步骤：预先建立企业特征表；根据所述企业特征表，建立各个企业供需关系匹配表；获取目标企业的需求信息；及根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业。该应用服务器(2)及企业推荐方法能够主动获取企业的需求信息，并根据该企业的需求信息为所述企业推荐匹配企业。

Description

企业推荐方法及应用服务器
本申请要求于2017年8月4日提交中国专利局、申请号为201710658113.4、发明名称为“企业推荐方法及应用服务器”的中国专利申请的优先权，其全部内容通过引用结合在申请中。
技术领域
本申请涉及通信技术领域，尤其涉及一种企业推荐方法及应用服务器。
背景技术
随着互联网+这一发展新业态的兴起,企业与企业之间的高效合作显得越来越重要。目前企业之间合作不管是从效率还是合作的精准度上都略显粗放传统。企业的基本信息、经营类型、提供的产品服务、竞争力、信用情况、行业动态、市场资讯、潜在客户等信息缺乏一种高效精准的查询匹配方法。现有技术的各种实现，大多是传统的互联网技术，要依赖用户的单向主动搜索查询。
发明内容
有鉴于此，本申请提出一种企业推荐方法及应用服务器，能够主动获取企业的需求信息，并根据该企业的需求信息为所述企业推荐匹配企业。
首先，为实现上述目的，本申请提出一种应用服务器，所述应用服务器包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的企业推荐程序，所述企业推荐程序被所述处理器执行时实现如下步骤：
预先建立企业特征表；
根据所述企业特征表，建立各个企业供需关系匹配表；
获取目标企业的需求信息；及
根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业。
此外，为实现上述目的，本申请还提供一种企业推荐方法，该方法应用于应用服务器，所述方法包括：
预先建立企业特征表；
根据所述企业特征表，建立各个企业供需关系匹配表；
获取目标企业的需求信息；及
根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业。
进一步地，为实现上述目的，本申请还提供一种计算机可读存储介质，所述计算机可读存储介质存储有企业推荐程序，所述企业推荐程序可被至少一个处理器执行，以使所述至少一个处理器执行如上述的企业推荐方法的步骤。
相较于现有技术，本申请所提出的应用服务器、企业推荐方法及计算机可读存储介质，首先预先建立企业特征表；然后，根据所述企业特征表，建立各个企业供需关系匹配表；接着，获取目标企业的需求信息；最后，根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业。这样，既可以避免现有技术中企业花费大量的时间与人力主动搜索查找合作企业的弊端，主动获取目标企业的需求信息，并根据该目标企业的需求信息为所述目标企业推荐匹配企业。实现了智能，高效的企业推荐服务。
附图说明
图1是本申请各个实施例一可选的应用环境示意图；
图2是图1中应用服务器一可选的硬件架构的示意图；
图3是本申请企业推荐程序第一、第二、第三及第四实施例的程序模块示意图；
图4为本申请企业推荐方法第一实施例的实施流程示意图；
图5为本申请企业推荐方法第二实施例的实施流程示意图；
图6为本申请企业推荐方法第三实施例的实施流程示意图；
图7为本申请企业推荐方法第四实施例的实施流程示意图。
附图标记：
移动终端 1
应用服务器 2
网络 3
存储器 11
处理器 12
网络接口 13
企业推荐程序 200
第一建立模块 201
第二建立模块 202
获取模块 203
推荐模块 204
本申请目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
为了使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步详细说明。应当理解，此处所描述的具体实施例仅用以解释本申请，并不用于限定本申请。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
需要说明的是，在本申请中涉及“第一”、“第二”等的描述仅用于描述目的，而不能理解为指示或暗示其相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。另外，各个实施例之间的技术方案可以相互结合，但是必须是以本领域普通技术人员能够实现为基础，当技术方案的结合出现相互矛盾或无法实现时应当认为这种技术方案的结合不存在，也不在本申请要求的保护范围之内。
参阅图1所示，是本申请各个实施例一可选的应用环境示意图。
在本实施例中，本申请可应用于包括，但不仅限于，移动终端1、应用服务器2、网络3的应用环境中。其中，所述移动终端1可以是移动电话、智能电话、笔记本电脑、数字广播接收器、PDA(个人数字助理)、PAD(平板电脑)、PMP(便携式多媒体播放器)、导航装置、车载装置等等的可移动设备，以及诸如数字TV、台式计算机、笔记本、服务器等等的固定终端。所述应用服务器2可以是机架式服务器、刀片式服务器、塔式服务器或机柜式服务器等计算设备，该应用服务器2可以是独立的服务器，也可以是多个服务器所组成的服务器集群。所述网络3可以是企业内部网(Intranet)、互联网(Internet)、全球移动通讯系统(Global System of Mobile communication，GSM)、宽带码分多址(Wideband Code Division Multiple Access，WCDMA)、4G网络、5G网络、蓝牙(Bluetooth)、Wi-Fi、通话网络等无线或有线网络。
其中，所述应用服务器2中通过所述网络3分别与一个或多个所述移动终端1(图中仅示出一个)通信连接，每一个所述移动终端1中均安装并运行有与所述应用服务器2对应的应用程序客户端(后文简称“移动终端客户端”)。所述移动终端客户端用于响应移动终端用户的操作，在所述移动终端客户端与所述应用服务器2之间创建长连接，以使所述移动终端客户端能够通过所述长连接与所述应用服务器2进行数据传输和交互。
本实施例中，当所述应用服务器2内安装并运行有企业推荐程序200时，当所述企业推荐程序200运行时，所述应用服务器2预先建立企业特征表，根据所述企业特征表，建立各个企业供需关系匹配表，当所述应用服务器2获取目标企业的需求信息后,根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业，使得所述应用服务器2能够主动获取企业的需求信息，并根据该企业的需求信息为所述企业推荐匹配企业。实现了智能，高效 的企业推荐服务。
参阅图2所示，是图1中应用服务器2一可选的硬件架构的示意图。本实施例中，所述应用服务器2可包括，但不仅限于，可通过系统总线相互通信连接存储器11、处理器12、网络接口13。需要指出的是，图2仅示出了具有组件11-13的移动终端1，但是应理解的是，并不要求实施所有示出的组件，可以替代的实施更多或者更少的组件。
其中，所述存储器11至少包括一种类型的可读存储介质，所述可读存储介质包括闪存、硬盘、多媒体卡、卡型存储器(例如，SD或DX存储器等)、随机访问存储器(RAM)、静态随机访问存储器(SRAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、可编程只读存储器(PROM)、磁性存储器、磁盘、光盘等。在一些实施例中，所述存储器11可以是所述应用服务器2的内部存储单元，例如该应用服务器2的硬盘或内存。在另一些实施例中，所述存储器11也可以是所述应用服务器2的外部存储设备，例如该应用服务器2上配备的插接式硬盘，智能存储卡(Smart Media Card,SMC)，安全数字(Secure Digital,SD)卡，闪存卡(Flash Card)等。当然，所述存储器11还可以既包括所述应用服务器2的内部存储单元也包括其外部存储设备。本实施例中，所述存储器11通常用于存储安装于所述应用服务器2的操作系统和各类应用软件，例如所述企业推荐程序200的程序代码等。此外，所述存储器11还可以用于暂时地存储已经输出或者将要输出的各类数据。
所述处理器12在一些实施例中可以是中央处理器(Central Processing Unit，CPU)、控制器、微控制器、微处理器、或其他数据处理芯片。该处理器12通常用于控制所述应用服务器2的总体操作，例如执行与所述移动终端1进行数据交互或者通信相关的控制和处理等。本实施例中，所述处理器12用于运行所述存储器11中存储的程序代码或者处理数据，例如运行所述的企业推荐程序200等。
所述网络接口13可包括无线网络接口或有线网络接口，该网络接口13通常用于在所述应用服务器2与其他电子设备之间建立通信连接。本实施例中，所述网络接口13主要用于通过所述网络3将所述应用服务器2与一个或多个所述移动终端1相连，在所述应用服务器2与所述一个或多个移动终端1之间的建立数据传输通道和通信连接。
至此，己经详细介绍了本申请各个实施例的应用环境和相关设备的硬件结构和功能。下面，将基于上述应用环境和相关设备，提出本申请的各个实施例。
首先，本申请提出一种企业推荐程序200。
参阅图3所示，是本申请企业推荐程序200第一实施例的程序模块图。本实施例中，所述的企业推荐程序200可以被分割成一个或多个模块，所述一个或者多个模块被存储于所述存储器11中，并由一个或多个处理器(本实施例 中为所述处理器12)所执行，以完成本申请。例如，在图3中，所述的业推荐程序200可以被分割成第一建立模块201、第二建立模块202、获取模块203以及推荐模块204。本申请所称的程序模块是指能够完成特定功能的一系列计算机程序指令段，比程序更适合于描述所述业推荐程序200在所述应用服务器2中的执行过程。以下将就各程序模块201-204的功能进行详细描述。
所述第一建立模块201，用于在所述应用服务器2的数据库中预先建立企业特征表。
一般地，预先建立企业特征表的方式可以是管理员在所述应用服务器2的后台通过数据库导入。
预先建立企业特征表的方式还可以是所述应用服务器2的第一建立模块201通过新闻资讯信息建立企业特征表。所述企业资讯信息包括：资讯的标题，行业类型，资讯内容等。
所述第二建立模块202，用于根据所述企业特征表，建立各个企业供需关系匹配表。
具体地，根据所述企业特征表的资讯信息，建立企业的供需关系匹配表。
本实施例中，为了更快的进行企业信息匹配，还可以根据企业资讯信息对企业进行分类，即所述供需关系匹配表还包括企业的类别。例如：服装行业，金融行业，生产制造等。每个企业的类别根据业务情况不限于只有一类。例如，A企业可以同时属于金融行业和电子行业。例如，企业供需关系匹配表可以为如下形式：
企业名称 企业类别 供给 需求 ......
A 电子行业/金融行业 基金理财 IC元件  
B 金融行业 提供贷款    
C 电子行业 电子元器件供应商    
D 电子行业 电子元件制造    
所述获取模块203，用于获取目标企业的需求信息。具体地，获取模块203可以通过移动终端1获取目标企业的需求信息，例如，可以通过移动终端1客户端用户的操作及移动终端1客户端的资讯信息获取目标企业的需求信息，具体步骤将在下文进行详述。
所述推荐模块204，用于根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业。
具体地，推荐模块204生成推荐列表给所述目标企业。
从上文可知，所述应用服务器2的第一建立模块201预先建立企业特征表，所述第二建立模块202根据所述企业特征表，建立各个企业供需关系匹配表，获取模块203获取目标企业的需求信息。推荐模块204根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业。这样，应用服务器2能够主动获取企业的需求信息，并根据该企业的需求信息为所述企业推荐匹配企业。实现了智能，高效的企业推荐服务。
通过上述程序模块201-204，本申请所提出的企业推荐程序200，首先，预先建立企业特征表，其次，根据所述企业特征表，建立各个企业供需关系匹配表，接着，所述应用服务器2能够根据移动终端1获取目标企业的需求信息，最后，根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业。避免了现有技术中企业花费大量的时间与人力主动搜索查找合作企业的弊端，主动获取企业的需求信息，并根据该企业的需求信息为所述企业推荐匹配企业。实现了智能，高效的企业推荐服务。
进一步地，基于本申请企业推荐程序200的上述第一实施例，提出本申请的第二实施例(如图3所示)。本实施例中，所述第一建立模块201，还用于：
提取企业关键词；并计算每个关键词的权重值；对所述权重值进行排序；按照预设范围对排序后的权重值进行选择，及将选择的权重值对应的关键词作为企业标签。
在一实施例中，提取的企业关键词由企业的行业，供需类型，城市，常用时间，资讯类别等组成。提取企业关键词可以通过移动终端1的企业的门户网站，新闻媒体，企业资讯活动等获取。另外，企业介绍、企业供需资源描述、资讯文章信息、活动内容描述信息，新闻信息均可以作为提取企业关键词的信息来源。
第一建立模块201给每个关键词赋予不同的权重，并计算每个关键词的权重值，同时，对所述权重值进行排序，并按照预设范围对排序后的权重值进行选择(例如，选择权重值排名靠前的关键词，如前三名的关键词)，最后，将选择的权重值对应的关键词作为企业标签。例如，通过移动终端1的资讯信息获取A企业的关键词有，“电子供应商”，“需要融资1000万美元”，“投资新厂”，“IC芯片供应”，“员工10000+”，“科技500强”，“专利申请量过百”…等，对于行业类的权重为4分，供需关系的权重值为3分，其他为2分。因此得到A企业的关键词排名为：第一名：“电子供应商”4分；第二名：“需要融资1000万美元”3分；第二名：“IC芯片供应”3分；第四名：“投资新厂”，“员工10000+”，“科技500强”，“专利申请量过百等其他关键词”。应用服务器2的第一建立模块201可以设置分数排名前三的关键词为A企业的关键词，因此A企业的关键词为“电子供应商”，“需要融资1000万美元”及“IC芯片供应”。需要说明的是，提取关键词并不限定于权重排名前三的关键词，可以根据用户需要进行设定。
进一步地，基于本申请企业推荐程序200的上述第一实施例，提出本申请的第三实施例(如图3所示)。本实施例中，所述获取模块203，还用于
记录目标企业的用户的操作行为；记录所述操作行为的频次以及所述操作行为涉及的信息内容所对应的标签描述；及根据所述操作行为和所述标签描述抽取出所述目标企业的需求信息。
在一实施例中，目标企业的用户在移动终端1的客户端的操作行为有如下 几种：
(1)目标企业的用户浏览过哪些企业，浏览过哪些供需，浏览过哪些资讯活动内容；
(2)目标企业的用户收藏/取消收藏的供需列表，关注/取消的企业列表，私信过的用户列表，发布过的需求信息。
对于输入关键词、选择搜索条件、浏览、收藏/取消收藏、关注/取消关注、私信、发布供需等操作行为，每种操作行为会有一个频次记录，每种操作行为中涉及的信息内容会对应相应的标签描述。根据这些操作行为和标签描述可以抽取出该用户所在企业的需求信息。
所述获取模块203还用于根据资讯信息进行语义分析，获取目标企业的需求变更。进一步地，获取模块203还根据所述需求变更的信息去变更企业特征表以及企业供需关系匹配表。
例如，随着社会发展，不少企业也正在进行转型，那么这些企业主营的方向可能已经发生变化。随之，企业的需求也会发生变更。目前，新闻媒体资源多、信息丰富，关于企业转型的消息一般都会通过新闻进行披露。应用服务器2通过新闻句子语义分析，判断企业业务方向变化、发展规划，进而通过提供行业内优质供销商、供应商。
通过以上实施例，所述获取模块203记录目标企业的用户的操作行为；记录所述操作行为的频次以及所述操作行为涉及的信息内容所对应的标签描述；及根据所述操作行为和所述标签描述抽取出所述目标企业的需求信息。所述获取模块203还根据资讯信息进行语义分析，获取目标企业的需求变更。
通过上述程序模块203，本申请所提出的企业推荐程序200可以根据目标企业的用户的操作行为及资讯信息的语义分析，及时获知目标企业的需求变更，进而推荐优质的匹配企业给所述目标企业。
进一步地，基于本申请企业推荐程序200的上述第一实施例，提出本申请的第四实施例(如图3所示)。本实施例中，所述推荐模块204，还用于：
根据所述企业供需关系匹配表的表项挑选多个预设参数；赋予所述多个预设参数以不同的权重；计算各个企业相对于目标企业的需求的匹配度；及根据所述匹配度的计算值为所述目标企业生成推荐列表。
例如，推荐模块204赋予企业的行业，关键词，需求/供给等分别不同的权重值。为了节约时间，减少计算量，可以限定有需求的目标企业只能从有供给业务的企业中挑选，不用考虑只有需求的企业。
企业名称 企业类别 供给 需求 专业度
A 电子行业/金融行业 基金理财 IC元件  
B 金融行业 提供贷款    
C 电子行业 电子元器件供应商   转销
D 电子行业 电子元件制造   制造
例如，当A企业的需求为IC元件，B企业提供贷款，C企业为电子元器件供应商，D企业为电子元件制造。根据A企业的需求信息，设置预设参数为“专业度”与“供给”，分别赋予“专业度”与“供给”权重为0.6及0.4，“专业度”中转销为3分，制造为5分，其他为1分；“供给”中供应商为2分，制造商为3分，其他为1分。其中，计算可得A企业的分值为0.6*1+0.4*1＝1，B企业的分值为0.6*1+0.4*1＝1，C企业的分值为0.6*3+0.4*2＝2.6，D企业的分值为0.6*5+0.4*3＝4.2。
显然根据A企业的需求信息，可以筛选出C，D两家企业，生成推荐表给A企业。
通过上述程序模块204，本申请所提出的企业推荐程序200，还能够根据企业供需关系匹配表的表项，计算各个企业相对于目标企业的需求的匹配度，并根据所述匹配度的大小排序为所述目标企业生成推荐列表。
此外，本申请还提出一种企业推荐方法。
参阅图4所示，是本申请企业推荐方法第一实施例的实施流程示意图。在本实施例中，根据不同的需求，图4所示的流程图中的步骤的执行顺序可以改变，某些步骤可以省略。
步骤S401，在所述应用服务器2的数据库中预先建立企业特征表。
一般地，预先建立企业特征表的方式可以是管理员在所述应用服务器2的后台通过数据库导入。
预先建立企业特征表的方式还可以是所述应用服务器2通过新闻资讯信息建立企业特征表。所述企业资讯信息包括：资讯的标题，行业类型，资讯内容等。具体步骤将在本申请企业推荐方法的第二实施例(参阅图5)进行详述。
步骤S402，根据所述企业特征表，建立各个企业供需关系匹配表。
具体地，所述应用服务器2根据所述企业特征表的资讯信息，建立企业的供需关系匹配表。
本实施例中，为了更快的进行企业信息匹配，还可以根据企业资讯信息对企业进行分类，即所述供需关系匹配表还包括企业的类别。例如：服装行业，金融行业，生产制造等。每个企业的类别根据业务情况不限于只有一类。例如，A企业可以同时属于金融行业和电子行业。例如，企业供需关系匹配表可以为如下形式：
企业名称 企业类别 供给 需求 ......
A 电子行业/金融行业 基金理财 IC元件  
B 金融行业 提供贷款    
C 电子行业 电子元器件供应商    
D 电子行业 电子元件制造    
步骤S403，获取目标企业的需求信息。
具体地，所述应用服务器2可以通过移动终端1获取目标企业的需求信息， 例如，可以通过移动终端1客户端用户的操作及移动终端1客户端的资讯信息获取目标企业的需求信息，具体步骤将在本申请企业推荐方法的第三实施例(参阅图6)进行详述。
步骤S404，根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业。具体地，所述应用服务器2生成推荐列表给所述目标企业。
从上文可知，所述应用服务器2预先建立企业特征表，根据所述企业特征表，建立各个企业供需关系匹配表，通过移动终端1获取目标企业的需求信息。所述应用服务器2根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业。这样，应用服务器2能够主动获取企业的需求信息，并根据该企业的需求信息为所述企业推荐匹配企业。实现了智能，高效的企业推荐服务。
通过上述步骤S401-404，本申请所提出的企业推荐方法，首先，预先建立企业特征表，其次，根据所述企业特征表，建立各个企业供需关系匹配表，接着，所述应用服务器2能够根据移动终端1获取目标企业的需求信息，最后，根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业。避免了现有技术中企业花费大量的时间与人力主动搜索查找合作企业的弊端，主动获取企业的需求信息，并根据该企业的需求信息为所述企业推荐匹配企业。实现了智能，高效的企业推荐服务。
如图5所示，是本申请企业推荐方法的第二实施例的实施流程示意图。本实施例中，所述预先建立企业特征表的步骤，具体包括：
步骤S501，提取企业关键词。
步骤S502，计算每个关键词的权重值。
步骤S503，对所述权重值进行排序。
步骤S504，按照预设范围对排序后的权重值进行选择。
步骤S505，将选择的权重值对应的关键词作为企业标签。
在一实施例中，提取的企业关键词由企业的行业，供需类型，城市，常用时间，资讯类别等组成。提取企业关键词可以通过移动终端1的企业的门户网站，新闻媒体，企业资讯活动等获取。另外，企业介绍、企业供需资源描述、资讯文章信息、活动内容描述信息，新闻信息均可以作为提取企业关键词的信息来源。
所述应用服务器2给每个关键词赋予不同的权重，并计算每个关键词的权重值，同时，对所述权重值进行排序，并按照预设范围对排序后的权重值进行选择(例如，选择权重值排名靠前的关键词，如前三名的关键词)，最后，将选择的权重值对应的关键词作为企业标签。
例如，通过移动终端1的资讯信息获取A企业的关键词有，“电子供应商”，“需要融资1000万美元”，“投资新厂”，“IC芯片供应”，“员工10000+”，“科技500强”，“专利申请量过百”…等，对于行业类的权重为4分，供需关系的权重值为3分，其他为2分。因此得到A企业的关键词排名为：第一名：“电子 供应商”4分；第二名：“需要融资1000万美元”3分；第二名：“IC芯片供应”3分；第四名：“投资新厂”，“员工10000+”，“科技500强”，“专利申请量过百等其他关键词”。应用服务器2的第一建立模块201可以设置分数排名前三的关键词为A企业的关键词，因此A企业的关键词为“电子供应商”，“需要融资1000万美元”及“IC芯片供应”。需要说明的是，提取关键词并不限定于权重排名前三的关键词，可以根据用户需要进行设定。
通过上述步骤S501-S505，本申请所提出的企业推荐方法，可以通过根据资讯信息获取各个企业的标签，以建立企业特征信息。
如图6所示，是本申请企业推荐方法的第三实施例的实施流程示意图。本实施例中，所述获取目标企业的需求信息的步骤，具体包括：
步骤S601，记录所述目标企业的用户的操作行为。
步骤S602，记录所述操作行为的频次以及所述操作行为涉及的信息内容所对应的标签描述。
步骤S603，根据所述操作行为和所述标签描述抽取出所述目标企业的需求信息。
在一实施例中，目标企业的用户在移动终端1的客户端的操作行为有如下几种：
(1)目标企业的用户浏览过哪些企业，浏览过哪些供需，浏览过哪些资讯活动内容；
(2)目标企业的用户收藏/取消收藏的供需列表，关注/取消的企业列表，私信过的用户列表，发布过的需求信息。
对于输入关键词、选择搜索条件、浏览、收藏/取消收藏、关注/取消关注、私信、发布供需等操作行为，每种操作行为会有一个频次记录，每种操作行为中涉及的信息内容会对应相应的标签描述。根据这些操作行为和标签描述可以抽取出该用户所在企业的需求信息。
本实施例中，所述获取目标企业的需求信息的步骤，进一步包括：
步骤S604，根据资讯信息进行语义分析，获取目标企业的需求变更。进一步地，所述应用服务器2还根据所述需求变更的信息去变更企业特征表以及企业供需关系匹配表。
例如，随着社会发展，不少企业也正在进行转型，那么这些企业主营的方向可能已经发生变化。随之，企业的需求也会发生变更。目前，新闻媒体资源多、信息丰富，关于企业转型的消息一般都会通过新闻进行披露。应用服务器2通过新闻句子语义分析，判断企业业务方向变化、发展规划，进而通过提供行业内优质供销商、供应商。
通过以上实施例，所述应用服务器2记录目标企业的用户的操作行为；记录所述操作行为的频次以及所述操作行为涉及的信息内容所对应的标签描述；及根据所述操作行为和所述标签描述抽取出所述目标企业的需求信息。 所述应用服务器2还根据资讯信息进行语义分析，获取目标企业的需求变更。
通过上述步骤S601-S604，本申请所提出的企业推荐方法，可以根据目标企业的用户的操作行为及资讯信息的语义分析，及时获知目标企业的需求变更，进而推荐优质的匹配企业给所述目标企业。
如图7所示，是本申请企业推荐方法的第四实施例的实施流程示意图。本实施例中，所述根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业的步骤，具体包括：
步骤S701，根据所述企业供需关系匹配表的表项挑选多个预设参数。
步骤S702，赋予所述多个预设参数以不同的权重。
步骤S703，计算各个企业相对于目标企业的需求的匹配度。
步骤S704，根据所述匹配度的计算值为所述目标企业生成推荐列表。
例如，所述应用服务器2赋予企业的行业，关键词，需求/供给等分别不同的权重值。为了节约时间，减少计算量，可以限定有需求的目标企业只能从有供给业务的企业中挑选，不用考虑只有需求的企业。
企业名称 企业类别 供给 需求 专业度
A 电子行业/金融行业 基金理财 IC元件  
B 金融行业 提供贷款    
C 电子行业 电子元器件供应商   转销
D 电子行业 电子元件制造   制造
例如，当A企业的需求为IC元件，B企业提供贷款，C企业为电子元器件供应商，D企业为电子元件制造。根据A企业的需求信息，设置预设参数为“专业度”与“供给”，分别赋予“专业度”与“供给”权重为0.6及0.4，“专业度”中转销为3分，制造为5分，其他为1分；“供给”中供应商为2分，制造商为3分，其他为1分。其中，计算可得A企业的分值为0.6*1+0.4*1＝1，B企业的分值为0.6*1+0.4*1＝1，C企业的分值为0.6*3+0.4*2＝2.6，D企业的分值为0.6*5+0.4*3＝4.2。
显然根据A企业的需求信息，可以筛选出C，D两家企业，生成推荐表给A企业。
通过上述步骤S701-S704，本申请所提出的企业推荐方法，还能够根据企业供需关系匹配表的表项，计算各个企业相对于目标企业的需求的匹配度，并根据所述匹配度为所述目标企业生成推荐列表。
上述本申请实施例序号仅仅为了描述，不代表实施例的优劣。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘) 中，包括若干指令用以使得一台终端设备(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本申请各个实施例所述的方法。
以上仅为本申请的优选实施例，并非因此限制本申请的专利范围，凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本申请的专利保护范围内。

Claims (21)

  1. 一种企业推荐方法，应用于应用服务器，其特征在于，所述方法包括：
    预先建立企业特征表；
    根据所述企业特征表，建立各个企业供需关系匹配表；
    获取目标企业的需求信息；及
    根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业。
  2. 如权利要求1所述的企业推荐方法，其特征在于，所述预先建立企业特征表的步骤，具体包括：
    提取企业关键词；
    并计算每个关键词的权重值；
    对所述权重值进行排序；
    按照预设范围对排序后的权重值进行选择，及
    将选择的权重值对应的关键词作为企业标签。
  3. 如权利要求1所述的企业推荐方法，其特征在于，所述获取目标企业的需求信息的步骤，具体包括：
    记录所述目标企业的用户的操作行为；
    记录所述操作行为的频次以及所述操作行为涉及的信息内容所对应的标签描述；及
    根据所述操作行为和所述标签描述抽取出所述目标企业的需求信息。
  4. 如权利要求2所述的企业推荐方法，其特征在于，所述获取目标企业的需求信息的步骤，具体包括：
    记录所述目标企业的用户的操作行为；
    记录所述操作行为的频次以及所述操作行为涉及的信息内容所对应的标签描述；及
    根据所述操作行为和所述标签描述抽取出所述目标企业的需求信息。
  5. 如权利要求3所述的企业推荐方法，其特征在于，所述获取目标企业的需求信息的步骤，具体还包括：
    根据资讯信息进行语义分析，获取所述目标企业的需求变更。
  6. 如权利要求4所述的企业推荐方法，其特征在于，所述获取目标企业的需求信息的步骤，具体还包括：
    根据资讯信息进行语义分析，获取所述目标企业的需求变更。
  7. 如权利要求3或4所述的企业推荐方法，其特征在于，所述根据所述需求信息为所述目标企业推荐匹配企业的步骤，具体包括：
    根据所述企业供需关系匹配表的表项挑选多个预设参数；
    赋予多个预设参数以不同的权重；
    计算各个企业相对于目标企业的需求的匹配度；及
    根据所述匹配度的计算值为所述目标企业生成推荐列表。
  8. 一种应用服务器，其特征在于，所述应用服务器包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的企业推荐程序，所述企业推荐程序被所述处理器执行时实现如下步骤：
    预先建立企业特征表；
    根据所述企业特征表，建立各个企业供需关系匹配表；
    获取目标企业的需求信息；及
    根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业。
  9. 如权利要求8所述的应用服务器，其特征在于，所述预先建立企业特征表的步骤，具体包括：
    提取企业关键词；
    并计算每个关键词的权重值；
    对所述权重值进行排序；
    按照预设范围对排序后的权重值进行选择，及
    将选择的权重值对应的关键词作为企业标签。
  10. 如权利要求8所述的应用服务器，其特征在于，所述获取目标企业的需求信息的步骤，具体包括：
    记录所述目标企业的用户的操作行为；
    记录所述操作行为的频次以及所述操作行为涉及的信息内容所对应的标签描述；及
    根据所述操作行为和所述标签描述抽取出所述目标企业的需求信息。
  11. 如权利要求9所述的应用服务器，其特征在于，所述获取目标企业的需求信息的步骤，具体包括：
    记录所述目标企业的用户的操作行为；
    记录所述操作行为的频次以及所述操作行为涉及的信息内容所对应的标签描述；及
    根据所述操作行为和所述标签描述抽取出所述目标企业的需求信息。
  12. 如权利要求10所述的应用服务器，其特征在于，所述获取目标企业的需求信息的步骤，具体还包括：
    根据资讯信息进行语义分析，获取所述目标企业的需求变更。
  13. 如权利要求11所述的应用服务器，其特征在于，所述获取目标企业的需求信息的步骤，具体还包括：
    根据资讯信息进行语义分析，获取所述目标企业的需求变更。
  14. 如权利要求10或11所述的应用服务器，其特征在于，所述根据所述需求信息为所述目标企业推荐匹配企业的步骤，具体包括：
    根据所述企业供需关系匹配表的表项挑选多个预设参数；
    赋予多个预设参数以不同的权重；
    计算各个企业相对于目标企业的需求的匹配度；及
    根据所述匹配度的计算值为所述目标企业生成推荐列表。
  15. 一种计算机可读存储介质，所述计算机可读存储介质存储有企业推荐程序，所述企业推荐程序可被至少一个处理器执行，以使所述至少一个处理器执行如下步骤：
    预先建立企业特征表；
    根据所述企业特征表，建立各个企业供需关系匹配表；
    获取目标企业的需求信息；及
    根据所述需求信息及所述企业供需关系匹配表为所述目标企业推荐匹配企业。
  16. 如权利要求15所述的计算机可读存储介质，其特征在于，所述预先建立企业特征表的步骤，具体包括：
    提取企业关键词；
    并计算每个关键词的权重值；
    对所述权重值进行排序；
    按照预设范围对排序后的权重值进行选择，及
    将选择的权重值对应的关键词作为企业标签。
  17. 如权利要求15所述的计算机可读存储介质，其特征在于，所述获取目标企业的需求信息的步骤，具体包括：
    记录所述目标企业的用户的操作行为；
    记录所述操作行为的频次以及所述操作行为涉及的信息内容所对应的标签描述；及
    根据所述操作行为和所述标签描述抽取出所述目标企业的需求信息。
  18. 如权利要求16所述的计算机可读存储介质，其特征在于，所述获取目标企业的需求信息的步骤，具体包括：
    记录所述目标企业的用户的操作行为；
    记录所述操作行为的频次以及所述操作行为涉及的信息内容所对应的标签描述；及
    根据所述操作行为和所述标签描述抽取出所述目标企业的需求信息。
  19. 如权利要求17所述的计算机可读存储介质，其特征在于，所述获取目标企业的需求信息的步骤，具体还包括：
    根据资讯信息进行语义分析，获取所述目标企业的需求变更。
  20. 如权利要求18所述的计算机可读存储介质，其特征在于，所述获取目标企业的需求信息的步骤，具体还包括：
    根据资讯信息进行语义分析，获取所述目标企业的需求变更。
  21. 如权利要求17或18所述的计算机可读存储介质，其特征在于，所述根据所述需求信息为所述目标企业推荐匹配企业的步骤，具体包括：
    根据所述企业供需关系匹配表的表项挑选多个预设参数；
    赋予多个预设参数以不同的权重；
    计算各个企业相对于目标企业的需求的匹配度；及
    根据所述匹配度的计算值为所述目标企业生成推荐列表。
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