CN109150934B - Information pushing method and device - Google Patents

Information pushing method and device Download PDF

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CN109150934B
CN109150934B CN201710457870.5A CN201710457870A CN109150934B CN 109150934 B CN109150934 B CN 109150934B CN 201710457870 A CN201710457870 A CN 201710457870A CN 109150934 B CN109150934 B CN 109150934B
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positioning data
identification
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CN109150934A (en
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武熠阳
杨兴
杨晓静
赵鑫
周景博
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Chongqing duxiaoman Youyang Technology Co.,Ltd.
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Shanghai Youyang New Media Information Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/52—Network services specially adapted for the location of the user terminal

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Abstract

The application discloses an information pushing method and device. One embodiment of the method comprises: receiving a target enterprise identifier sent by terminal equipment; matching the identifier of the target enterprise in a pre-stored enterprise information set to obtain the geographic coordinates of the target enterprise, wherein each enterprise information in the enterprise information set comprises the identifier of the enterprise and the geographic coordinates of the enterprise; determining the area of the target enterprise by using the geographic coordinates of the target enterprise; acquiring positioning data of a user in the area of a target enterprise in a target time period to generate target positioning data; and generating the running state information of the target enterprise based on the target positioning data, and pushing the running state information to the terminal equipment. This embodiment increases the frequency of generating the operating condition information, and contributes to improving the timeliness of the operating condition information.

Description

Information pushing method and device
Technical Field
The application relates to the technical field of computers, in particular to the technical field of internet, and particularly relates to an information pushing method and device.
Background
The running condition information is a leading index reflecting the future running situation of the enterprise economy. Therefore, before a business is collaborated with a business, financial data (sales, profits, etc.) of multiple businesses is generally analyzed to generate operational status information for the multiple businesses. According to the operation condition information, the intention enterprises can be selected from the enterprises to cooperate.
However, the financial data is published less frequently (typically once a quarter), resulting in less frequent use of the financial data to generate the operating condition information.
Disclosure of Invention
An object of the embodiments of the present application is to provide an improved information pushing method and apparatus, so as to solve the technical problems mentioned in the above background section.
In a first aspect, an embodiment of the present application provides an information pushing method, where the method includes: receiving a target enterprise identifier sent by terminal equipment; matching the identifier of the target enterprise in a pre-stored enterprise information set to obtain the geographic coordinates of the target enterprise, wherein each enterprise information in the enterprise information set comprises the identifier of the enterprise and the geographic coordinates of the enterprise; determining the area of the target enterprise by using the geographic coordinates of the target enterprise; acquiring positioning data of a user in the area of a target enterprise in a target time period to generate target positioning data; and generating the running state information of the target enterprise based on the target positioning data, and pushing the running state information to the terminal equipment.
In some embodiments, before receiving the identification of the target enterprise sent by the terminal device, the method further includes: receiving an identification set of the alternative enterprises sent by the terminal equipment; for the identification of each candidate enterprise in the identification set of the candidate enterprises, acquiring a plurality of positioning data of a user in the area of the candidate enterprise in a plurality of historical time periods; acquiring a plurality of financial data of the alternative enterprise in a plurality of historical time periods; fitting the plurality of positioning data and the plurality of financial data to generate the goodness of fit of the candidate enterprise; determining whether the candidate enterprise is a candidate enterprise or not based on the goodness-of-fit of the candidate enterprise; generating an identification set of the candidate enterprises based on the determined candidate enterprises; and sending the identification set of the candidate enterprises to the terminal equipment so that the terminal equipment selects the identification of the candidate enterprises from the identification set of the candidate enterprises as the identification of the target enterprise.
In some embodiments, determining whether the candidate business is a candidate business based on the goodness-of-fit of the candidate business comprises: comparing the goodness of fit of the candidate enterprise with a preset goodness of fit threshold; if the goodness of fit of the candidate enterprise is greater than a preset goodness of fit threshold, the candidate enterprise is a candidate enterprise; and if the goodness-of-fit of the candidate enterprise is not greater than the preset goodness-of-fit threshold, the candidate enterprise is not the candidate enterprise.
In some embodiments, the target time period comprises a plurality of target time points; and after collecting positioning data of the user in the area of the target enterprise within the target time period, further comprising: for each target time point in a plurality of target time points, determining whether the positioning data of the target time point is missing; and filling the positioning data of the target time point by utilizing an interpolation method in response to the fact that the positioning data of the target time point is lack.
In some embodiments, the filling the positioning data of the target time point by interpolation includes: acquiring positioning data of a preset target time point before the target time point; acquiring positioning data of a preset target time point behind the target time point; and calculating the average value of the acquired positioning data, and taking the average value as the positioning data of the target time point.
In some embodiments, the positioning data comprises a user identification; and generating the running state information of the target enterprise based on the target positioning data, wherein the running state information comprises: acquiring a user identification set corresponding to the object positioning data; carrying out duplication elimination processing on a user identification set corresponding to the target positioning data to obtain a target user identification set; for each target user identifier in the target user identifier set, determining whether the target user identifier is successfully matched in a preset identifier set; if the target user identification is successfully matched in the preset identification set, taking the target user identification as the identification of the staff of the target enterprise; if the target user identification is unsuccessfully matched in the preset identification set, taking the target user identification as the identification of the visitor of the target enterprise; counting the target user identification set to obtain the number of workers of the target enterprise and the number of visitors of the target enterprise; and generating the running condition information of the target enterprise based on the number of the staff of the target enterprise and the number of the visitors of the target enterprise.
In some embodiments, generating the operational status information for the target business based on the number of workers at the target business and the number of visitors to the target business comprises: acquiring positioning data of a user in a reference area in a target time period to generate reference positioning data, wherein the reference area comprises an area of a target enterprise; acquiring a user identification set corresponding to the reference positioning data; carrying out duplication elimination processing on a user identification set corresponding to the reference positioning data to obtain a reference user identification set; counting the reference user identification set to obtain the number of the reference users; normalizing the number of the staff of the target enterprise and the number of the visiting staff of the target enterprise by using the number of the reference users to obtain the normalized number of the staff and the normalized number of the visiting staff; and generating the operation condition information of the target enterprise based on the normalized number of the workers and the normalized number of the visitors.
In a second aspect, an embodiment of the present application provides an information pushing apparatus, where the apparatus includes: the target enterprise identification receiving unit is configured for receiving the identification of the target enterprise sent by the terminal equipment; the system comprises a target enterprise identification matching unit, a target enterprise identification matching unit and a target enterprise identification matching unit, wherein the target enterprise identification matching unit is configured to match the identification of a target enterprise in a pre-stored enterprise information set and acquire the geographic coordinates of the target enterprise, and each enterprise information in the enterprise information set comprises the identification of the enterprise and the geographic coordinates of the enterprise; the target enterprise region determining unit is configured for determining the region of the target enterprise by using the geographic coordinates of the target enterprise; the target positioning data generating unit is configured to collect positioning data of a user in an area of a target enterprise in a target time period and generate target positioning data; and the operation condition information generating unit is configured to generate operation condition information of the target enterprise based on the target positioning data and push the operation condition information to the terminal equipment.
In some embodiments, the apparatus further comprises: the system comprises an alternative enterprise identification set receiving unit, a terminal device and a service management unit, wherein the alternative enterprise identification set receiving unit is configured to receive an identification set of an alternative enterprise sent by the terminal device; the positioning data acquisition unit is configured to acquire a plurality of positioning data of the user in the area of the candidate enterprise within a plurality of historical time periods for the identifier of each candidate enterprise in the identifier set of the candidate enterprise; the financial data acquisition unit is configured to acquire a plurality of financial data of the candidate enterprise in a plurality of historical time periods; the goodness-of-fit generating unit is configured to fit the plurality of positioning data and the plurality of financial data to generate goodness-of-fit of the candidate enterprise; the candidate enterprise determining unit is configured to determine whether the candidate enterprise is a candidate enterprise based on the goodness of fit of the candidate enterprise; the candidate enterprise identification set generation unit is configured for generating an identification set of the candidate enterprises based on the determined candidate enterprises; and the candidate enterprise identification set sending unit is configured to send the identification set of the candidate enterprise to the terminal equipment so that the terminal equipment selects the identification of the candidate enterprise from the identification set of the candidate enterprise as the identification of the target enterprise.
In some embodiments, the candidate business determination unit includes: the comparison subunit is configured to compare the goodness of fit of the candidate enterprise with a preset goodness of fit threshold; the first determining subunit is configured to determine that the candidate enterprise is the candidate enterprise if the goodness of fit of the candidate enterprise is greater than a preset goodness of fit threshold; and the second determining subunit is configured to determine that the candidate enterprise is not the candidate enterprise if the goodness of fit of the candidate enterprise is not greater than the preset goodness of fit threshold.
In some embodiments, the target time period comprises a plurality of target time points; and the apparatus further comprises: a positioning data determining unit configured to determine, for each of a plurality of target time points, whether positioning data for the target time point is missing; and the positioning data filling unit is configured for responding to the determined lack of the positioning data of the target time point and filling the positioning data of the target time point by utilizing an interpolation method.
In some embodiments, locating a data shim cell includes: the first acquisition subunit is configured to acquire positioning data of a preset target time point before the target time point; the second acquisition subunit is configured to acquire positioning data of a preset target time point after the target time point; and the average value operator unit is configured to calculate the average value of the acquired positioning data and serve as the positioning data of the target time point.
In some embodiments, the positioning data comprises a user identification; and an operation condition information generation unit including: the user identification set acquisition subunit is configured to acquire a user identification set corresponding to the object location data; the duplication removing processing subunit is configured to perform duplication removing processing on the user identifier set corresponding to the target location data to obtain a target user identifier set; the target user identifier matching subunit is configured to determine, for each target user identifier in the target user identifier set, whether the target user identifier is successfully matched in the preset identifier set; the first serving subunit is configured to, if the target user identifier is successfully matched in the preset identifier set, serve the target user identifier as an identifier of a worker of the target enterprise; the second as a subunit, configured to, if the target user identifier is unsuccessfully matched in the preset identifier set, use the target user identifier as an identifier of a visitor of the target enterprise; the counting subunit is configured to count the target user identifier set to obtain the number of the staff of the target enterprise and the number of the visitors of the target enterprise; and the operation condition information generation subunit is configured to generate the operation condition information of the target enterprise based on the number of the staff of the target enterprise and the number of the visitors of the target enterprise.
In some embodiments, the operating condition information generating subunit includes: the reference positioning data generation module is configured to acquire positioning data of a user in a reference area in a target time period and generate reference positioning data, wherein the reference area comprises an area of a target enterprise; the user data set acquisition module is configured to acquire a user identifier set corresponding to the reference positioning data; the duplication removal processing module is configured to perform duplication removal processing on the user identifier set corresponding to the reference positioning data to obtain a reference user identifier set; the counting module is configured for counting the reference user identifier set to obtain the number of the reference users; the normalization processing module is configured to utilize the number of the reference users to perform normalization processing on the number of the staff of the target enterprise and the number of the visiting persons of the target enterprise to obtain the normalized number of the staff and the normalized number of the visiting persons; and the operation condition information generation module is configured to generate the operation condition information of the target enterprise based on the normalized number of the workers and the normalized number of the visitors.
In a third aspect, an embodiment of the present application provides a server, where the server includes: one or more processors; storage means for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method as described in any implementation of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method as described in any implementation manner of the first aspect.
According to the information pushing method and device provided by the embodiment of the application, the geographic coordinates of the target enterprise are obtained by matching the identifier of the target enterprise received from the terminal equipment in the enterprise information set stored in advance; then, determining the area of the target enterprise by using the geographic coordinates of the target enterprise; then, collecting positioning data of the user in the area of the target enterprise in the target time period to generate target positioning data; and finally, generating the running state information of the target enterprise based on the target positioning data, and pushing the running state information to the terminal equipment. The collection frequency of the positioning data is high, so that the operating condition information is generated by utilizing the positioning data, the frequency of generating the operating condition information is improved, and the timeliness of the operating condition information is improved.
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Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram to which embodiments of the present application may be applied;
FIG. 2 is a flow diagram of one embodiment of an information push method according to the present application;
FIG. 3 is a flow diagram of yet another embodiment of an information push method according to the present application;
FIG. 4 is a schematic block diagram of one embodiment of an information pushing device according to the present application;
FIG. 5 is a block diagram of a computer system suitable for use in implementing a server according to embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 shows an exemplary system architecture 100 to which embodiments of the information pushing method or information pushing apparatus of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. For example, a user may use terminal devices 101, 102, 103 to send an identification of a target enterprise to server 105 over network 104; the user may also use the terminal devices 101, 102, 103 to receive operational status information of the target enterprise from the server 105 via the network 104.
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting information browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 105 may be a server that provides various services, such as a background server that provides support for the health information displayed on the terminal devices 101, 102, 103. The backend server may analyze and otherwise process data such as an identifier of the target enterprise, and feed back a processing result (for example, operational status information of the target enterprise) to the terminal devices 101, 102, and 103.
It should be noted that the information pushing method provided in the embodiment of the present application is generally executed by the server 105, and accordingly, the information pushing apparatus is generally disposed in the server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to FIG. 2, a flow 200 of one embodiment of an information push method according to the present application is shown. The information pushing method comprises the following steps:
step 201, receiving the identifier of the target enterprise sent by the terminal device.
In this embodiment, the electronic device (for example, the server 105 shown in fig. 1) on which the information push method operates may receive the identification of the target enterprise from the terminal device (for example, the terminal devices 101, 102, 103 shown in fig. 1) through a wired connection manner or a wireless connection manner. The enterprise identification is composed of numbers, letters, symbols and the like, and can be used for uniquely identifying the enterprise. For example, the identification of the business may include, but is not limited to, the name of the business, the trademark of the business, the organizational code of the business, the registration number of the business, and so forth.
In some optional implementation manners of this embodiment, before receiving the identifier of the target enterprise sent by the terminal device, the electronic device may generate an identifier set of candidate enterprises through the following steps and send the identifier set to the terminal device, so that the terminal device selects the identifier of the candidate enterprise from the identifier set of candidate enterprises as the identifier of the target enterprise.
First, the electronic device may receive the set of identifications of the candidate businesses sent by the terminal device.
Then, for the identification of each candidate in the set of identifications of the candidate, the electronic device may obtain a plurality of positioning data of the user in the area of the candidate (the determination method of the positioning data is the same as the determination method of the area of the target enterprise) in a plurality of historical time periods (e.g., a plurality of historical quarters) and a plurality of financial data of the candidate in a plurality of historical time periods. Where financial data may include, but is not limited to, product price, turnover, sales, profit, expense, and the like.
The electronic device may then fit the plurality of positioning data and the plurality of financial data to generate a goodness-of-fit for the candidate enterprise. Specifically, for the positioning data in each historical time period, the electronic device may divide the positioning data in the historical time period by the positioning data in the previous historical time period adjacent to the former historical time period, and take the resulting quotient as a regression value. For the financial data in each historical time period, the electronic device may divide the financial data in the historical time period by the financial data in the previous historical time period adjacent to the financial data in the historical time period, and take the resulting quotient as the observed value. For each regression value and each observation data obtained, the electronic device may calculate the degree of fitting of each regression value to each observation value, and use it as the goodness of fit of the candidate enterprise.
The electronic device may then determine whether the candidate business is a candidate business based on the goodness of fit of the candidate business. Wherein the electronic device may determine whether the candidate business is a candidate business in a variety of ways. As an example, for the identifiers of the candidate enterprises in the identifier set of the candidate enterprises, the electronic device may sort the identifiers of the candidate enterprises according to the goodness of fit, and select the identifiers of a preset number of candidate enterprises from the side with the high goodness of fit as the identifiers of the candidate enterprises. As another example, the electronic device may compare the goodness-of-fit of the candidate enterprise to a preset goodness-of-fit threshold; if the goodness of fit of the candidate enterprise is greater than a preset goodness of fit threshold, the candidate enterprise is a candidate enterprise; and if the goodness-of-fit of the candidate enterprise is not greater than the preset goodness-of-fit threshold, the candidate enterprise is not the candidate enterprise.
And finally, generating an identification set of the candidate enterprises based on the determined candidate enterprises.
Step 202, matching the identifier of the target enterprise in a pre-stored enterprise information set to obtain the geographic coordinates of the target enterprise.
In this embodiment, based on the identifier of the target enterprise received in step 201, the electronic device may compare the identifier of the target enterprise with the identifier of an enterprise in each enterprise information in the pre-stored enterprise information set, if there is one enterprise information in which the identifier of the enterprise is the same as the identifier of the target enterprise, the matching is successful, and obtain the geographic coordinates of the enterprise in the enterprise information that is successfully matched as the geographic coordinates of the target enterprise. Wherein each business information in the set of business information may include an identification of the business and geographic coordinates of the business. The geographical coordinates of the business may be spherical coordinates of the ground point position represented by the longitude and latitude of each vertex of the area of the business, or spherical coordinates of the ground point position represented by the longitude and latitude of the center point of the area of the business.
And step 203, determining the area of the target enterprise by using the geographic coordinates of the target enterprise.
In this embodiment, based on the geographic coordinates of the target enterprise obtained in step 202, the electronic device may determine the area of the target enterprise by using the geographic coordinates of the target enterprise.
In this embodiment, if the geographic coordinates of the target business are spherical coordinates of the ground point position represented by the longitude and latitude of each vertex of the area of the target business, the electronic device may sequentially connect the vertices indicated by the geographic coordinates of the target business to form a polygonal area, and use the polygonal area as the area of the target business. If the geographic coordinates of the target enterprise are spherical coordinates of the ground point position represented by the longitude and the latitude of the central point of the enterprise area, the electronic equipment can also obtain the floor area of the target enterprise from the enterprise information which is successfully matched; and then forming a circular area or a square area with the same area as the occupied area of the target enterprise by taking the central point indicated by the geographic coordinates of the target enterprise as the center, and taking the circular area or the square area as the area of the target enterprise. Wherein each enterprise information in the set of enterprise information may also include a floor area of the enterprise.
Step 204, collecting positioning data of the user in the area of the target enterprise in the target time period, and generating target positioning data.
In this embodiment, based on the area of the target enterprise determined in step 203, the electronic device may collect positioning data of the user in the area of the target enterprise within a target time period (e.g., one week, one half month, one month), and generate target positioning data using the collected positioning data. Wherein the positioning data may comprise position information of the user. Here, the electronic device can directly regard the location data of gathering as the object location data, also can further handle the location data of gathering to regard the location data after will handling as the object location data. As an example, the electronic device may analyze the collected positioning data, and combine a plurality of positioning data of the same user into one positioning data.
In some optional implementations of this embodiment, the mobile phone used by the user may obtain the positioning data of the user through a mobile phone positioning technology. Specifically, the electronic device may first collect positioning data of all mobile phone users within a target time period; and then judging whether the positioning data is the positioning data in the area of the target enterprise or not by utilizing an area inside and outside point judgment algorithm for each acquired positioning data, thereby acquiring the positioning data of the user in the area of the target enterprise in the target time period.
In some optional implementations of the embodiment, a mobile phone used by the user may have various client applications with a positioning function installed thereon, such as a map application. As an example, the electronic device may first collect positioning data of all mobile phone users installed with a certain map application in a target time period; and then judging whether the positioning data is the positioning data in the area of the target enterprise or not by utilizing an area inside and outside point judgment algorithm for each acquired positioning data, thereby acquiring the positioning data of the user in the area of the target enterprise in the target time period.
Here, the intra-area and intra-area dot decision algorithm may include a plurality of decision methods. For example, one of the determination methods is a ray method in which a ray is taken from a point to be determined, an intersection between the ray and a boundary is obtained, and whether the point to be determined is inside or outside the region is determined based on the parity of the number of intersections. The other judgment method is a visible edge triangle direction method, namely, rays are taken from a point to be judged, the nearest intersection point of the rays and the boundary is solved to determine a visible edge, two end points of the visible edge and the point to be judged form a triangle, and whether the point to be judged is in the region or outside the region is judged according to the difference between the direction of the triangle and the direction of the boundary.
And step 205, generating the running state information of the target enterprise based on the target positioning data, and pushing the running state information to the terminal equipment.
In this embodiment, the electronic device may generate operational status information of the target enterprise based on the target location data generated in step 204. The operation condition information of the target enterprise may include, but is not limited to, people flow information of the target enterprise, the number of workers of the target enterprise, the number of visitors of the target enterprise, a business index of the target enterprise, and the like. Here, we use the quantitative index reflecting the operation status of each enterprise to reflect the business change of the enterprise. Usually, the interest index is provided with a middle value, the interest index is regarded as the interest state if the interest index is higher than the middle value, and the higher the interest index is, the more the interest the operation condition of the enterprise is reflected; and if the index is lower than the intermediate value, the index is regarded as a bad weather state, and the lower the weather index is, the lower the running condition of the enterprise is.
In some optional implementation manners of this embodiment, in a case that the operation condition information of the target enterprise is the traffic information of the target enterprise, the electronic device may generate the traffic information of the target enterprise by:
first, the electronic device may obtain a user identifier set corresponding to the object location data. Wherein the positioning data may further comprise a user identification. The user identifier is composed of numbers, letters, symbols, and the like, and can be used for uniquely identifying the user. For example, the identity of the user may be an IMSI (International Mobile Subscriber identity Number) of a Mobile phone used by the user, an account Number filled in when the user registers a map application, or the like.
Then, the electronic device may perform deduplication processing on the user identifier set corresponding to the object location data to obtain the target user identifier set.
Finally, the electronic device may count the number of the target user identifiers included in the target user identifier set, and use the counted number of the target user identifiers as the traffic information of the target enterprise.
In some optional implementations of the embodiment, in a case that the operation condition information of the target enterprise is the number of the staff members of the target enterprise and the number of the visiting persons of the target enterprise, the electronic device may generate the number of the staff members of the target enterprise and the number of the visiting persons of the target enterprise by:
first, the electronic device may obtain a user identifier set corresponding to the object location data. Wherein the positioning data may further comprise a user identification.
And then, the electronic equipment can perform deduplication processing on the user identifier set corresponding to the target location data to obtain a target user identifier set.
Then, for each target user identifier in the target user identifier set, the electronic device may determine whether the target user identifier is successfully matched in the preset identifier set; if the target user identification is successfully matched in the preset identification set, taking the target user identification as the identification of the staff of the target enterprise; and if the target user identification is unsuccessfully matched in the preset identification set, taking the target user identification as the identification of the visitor of the target enterprise. Here, the electronic device may analyze historical positioning data for a period of time (e.g., a year) in the past, and if the positioning data of a user indicated by the same user identifier appears in the historical positioning data more than a preset number of times (e.g., 10 times), the user identifier is regarded as a target user identifier.
Finally, the electronic device can count the target user identification set to obtain the number of the staff of the target enterprise and the number of the visitors of the target enterprise.
In some optional implementations of the embodiment, in the case that the operation condition information of the target enterprise is a business index of the target enterprise, the electronic device may generate the business index of the target enterprise by:
first, the electronic device may obtain a user identifier set corresponding to the object location data. Wherein the positioning data may further comprise a user identification.
Then, the electronic device can perform deduplication processing on the user identifier set corresponding to the object location data to obtain the target user identifier set.
Then, for each target user identifier in the target user identifier set, the electronic device may determine whether the target user identifier is successfully matched in the preset identifier set; if the target user identification is successfully matched in the preset identification set, taking the target user identification as the identification of the staff of the target enterprise; and if the target user identification is unsuccessfully matched in the preset identification set, taking the target user identification as the identification of the visitor of the target enterprise.
Then, the electronic device may count the target user identifier set to obtain the number of workers of the target enterprise and the number of visitors of the target enterprise.
Finally, the electronic device may generate a mood index for the target enterprise based on the number of workers of the target enterprise and the number of visitors of the target enterprise. In general, the greater the number of workers at the target business, the greater the number of visitors to the target business, and the higher the business index of the target business.
In some optional implementations of this embodiment, the electronic device may first collect positioning data of the user in a reference area (e.g., nationwide, provincial, or city) within a target time period (e.g., one week, half month, one month), and generate reference positioning data, where the reference area includes an area of the target enterprise; then acquiring a user identifier set corresponding to the reference positioning data, and performing deduplication processing on the user identifier set corresponding to the reference positioning data to obtain a reference user identifier set; then, counting the reference user identification set to obtain the number of the reference users; then, the number of the staff of the target enterprise and the number of the visiting staff of the target enterprise are normalized by the number of the reference users, and the normalized number of the staff and the normalized number of the visiting staff are obtained; and finally, generating the running condition information of the target enterprise, namely the business index of the target enterprise based on the normalized number of the workers and the normalized number of the visitors.
Here, the electronic device may divide the number of workers of the target enterprise and the number of visitors of the target enterprise by the number of reference users, respectively, to obtain a normalized number of workers and a normalized number of visitors.
Here, the electronic device may generate the interest index y of the target business using the following formula:
y＝a×x+b×(1-x)；
wherein a is the normalized number of workers, b is the normalized number of visitors, and x is the ratio of PMI (Purchasing Managers' Index) of the industry to which the target enterprise belongs to the previous month to 100.
According to the information pushing method provided by the embodiment of the application, the geographic coordinates of the target enterprise are obtained by matching the identifier of the target enterprise received from the terminal equipment in the enterprise information set stored in advance; then, determining the area of the target enterprise by using the geographic coordinates of the target enterprise; then, collecting positioning data of the user in the area of the target enterprise in the target time period to generate target positioning data; and finally, generating the running state information of the target enterprise based on the target positioning data, and pushing the running state information to the terminal equipment. The collection frequency of the positioning data is high, so that the operating condition information is generated by utilizing the positioning data, the frequency of generating the operating condition information is improved, and the timeliness of the operating condition information is improved.
With further reference to fig. 3, a flow 300 of yet another embodiment of an information push method is shown. The process 300 of the information push method includes the following steps:
step 301, receiving the identifier of the target enterprise sent by the terminal device.
In this embodiment, the electronic device (for example, the server 105 shown in fig. 1) on which the information push method operates may receive the identification of the target enterprise from the terminal device (for example, the terminal devices 101, 102, 103 shown in fig. 1) through a wired connection manner or a wireless connection manner. The enterprise identification is composed of numbers, letters, symbols and the like, and can be used for uniquely identifying the enterprise. For example, the identification of the business may include, but is not limited to, the name of the business, the trademark of the business, the organizational code of the business, the registration number of the business, and so forth.
And 302, matching the identifier of the target enterprise in a pre-stored enterprise information set to acquire the geographic coordinates of the target enterprise.
In this embodiment, based on the identifier of the target enterprise received in step 301, the electronic device may compare the identifier of the target enterprise with the identifier of an enterprise in each enterprise information in the pre-stored enterprise information set, if there is one enterprise information in which the identifier of the enterprise is the same as the identifier of the target enterprise, the matching is successful, and obtain the geographic coordinates of the enterprise in the enterprise information that is successfully matched as the geographic coordinates of the target enterprise. Wherein each business information in the set of business information may include an identification of the business and geographic coordinates of the business. The geographical coordinates of the business may be spherical coordinates of the ground point position represented by the longitude and latitude of each vertex of the area of the business, or spherical coordinates of the ground point position represented by the longitude and latitude of the center point of the area of the business.
And step 303, determining the area of the target enterprise by using the geographic coordinates of the target enterprise.
In this embodiment, based on the geographic coordinates of the target enterprise obtained in step 302, the electronic device may determine the area of the target enterprise by using the geographic coordinates of the target enterprise.
Step 304, collecting positioning data of the user in the area of the target enterprise in the target time period.
In this embodiment, based on the area of the target business determined in step 303, the electronic device may collect positioning data of the user within the area of the target business for a target time period (e.g., one week, one half month, one month).
Step 305, for each target time point in the plurality of target time points, determining whether the positioning data of the target time point is missing.
In this embodiment, for the positioning data in the target time period collected in step 304, the electronic device may determine whether the positioning data of each of the target time points in the target time period is missing. If it is determined that there is at least one missing positioning data of the target time point, continue to execute step 306; if it is determined that the positioning data of the target time points are not missing, step 307 is executed. The target time period may include a plurality of target time points, and the electronic device collects positioning data at the plurality of target time points of the target time period.
Step 306, the positioning data of the target time point is filled by using an interpolation method.
In this embodiment, in a case that it is determined that there is at least one missing positioning data of the target time point, the electronic device may fill in the missing positioning data by using an interpolation method. The interpolation method is also called as "interpolation method", and is to use the collected positioning data of a plurality of target time points in the target time period to make a proper specific function, and use the value of the specific function as the positioning data of the missing target time point at the missing target time point.
In some optional implementation manners of this embodiment, the electronic device may first acquire positioning data of a preset target time point before the target time point; then acquiring positioning data of a preset target time point behind the target time point; and finally, calculating the average value of the acquired positioning data, and taking the average value as the positioning data of the target time point.
Step 307, object location data is generated.
In this embodiment, the electronic device may directly use the collected location data of the plurality of target time points as the target location data when the collected location data of the plurality of target time points are not missing. Under the condition that positioning data are missing in the positioning data of a plurality of collected target time points, the electronic equipment can firstly fill the missing positioning data and take the filled positioning data as target positioning data.
And 308, generating the running state information of the target enterprise based on the target positioning data, and pushing the running state information to the terminal equipment.
In this embodiment, the electronic device may generate the operating condition information of the target enterprise based on the target location data generated in step 307. The operation condition information of the target enterprise may include, but is not limited to, people flow information of the target enterprise, the number of workers of the target enterprise, the number of visitors of the target enterprise, a business index of the target enterprise, and the like. Here, we use the quantitative index reflecting the operation status of each enterprise to reflect the business change of the enterprise. Usually, the interest index is provided with a middle value, the interest index is regarded as the interest state if the interest index is higher than the middle value, and the higher the interest index is, the more the interest the operation condition of the enterprise is reflected; and if the index is lower than the intermediate value, the index is regarded as a bad weather state, and the lower the weather index is, the lower the running condition of the enterprise is.
As can be seen from fig. 3, compared with the embodiment corresponding to fig. 2, the flow 300 of the information pushing method in this embodiment highlights the step of filling up the missing positioning data. Therefore, the object location data in the scheme described in the embodiment is more comprehensive, so that the running state information of the target enterprise generated by the object location data is more objective and real.
With further reference to fig. 4, as an implementation of the method shown in the above-mentioned figures, the present application provides an embodiment of an information pushing apparatus, which corresponds to the embodiment of the method shown in fig. 2, and which can be applied in various electronic devices.
As shown in fig. 4, the information pushing apparatus 400 of the present embodiment may include: a target business identification receiving unit 401, a target business identification matching unit 402, a target business area determining unit 403, a target location data generating unit 404, and an operation status information generating unit 405. The target enterprise identifier receiving unit 401 is configured to receive an identifier of a target enterprise sent by a terminal device; a target enterprise identifier matching unit 402, configured to match an identifier of a target enterprise in a pre-stored enterprise information set, and obtain a geographic coordinate of the target enterprise, where each piece of enterprise information in the enterprise information set includes the identifier of the enterprise and the geographic coordinate of the enterprise; a target enterprise region determining unit 403 configured to determine a region of the target enterprise by using the geographic coordinates of the target enterprise; the target positioning data generating unit 404 is configured to collect positioning data of a user in an area of a target enterprise within a target time period, and generate target positioning data; the operation status information generating unit 405 is configured to generate operation status information of the target enterprise based on the target location data, and push the operation status information to the terminal device.
In this embodiment, in the information push apparatus 400: the specific processes of the target enterprise identifier receiving unit 401, the target enterprise identifier matching unit 402, the target enterprise area determining unit 403, the target location data generating unit 404, and the operation status information generating unit 405 and the technical effects thereof may refer to the related descriptions of step 201, step 202, step 203, step 204, and step 205 in the corresponding embodiment of fig. 2, which are not described herein again.
In some optional implementations of this embodiment, the information pushing apparatus 400 may further include: an enterprise candidate identification set receiving unit (not shown in the figure) configured to receive an identification set of an enterprise candidate sent by a terminal device; a positioning data obtaining unit (not shown in the figure) configured to obtain, for the identifier of each candidate enterprise in the identifier set of the candidate enterprise, a plurality of positioning data of the user in the area of the candidate enterprise in a plurality of historical time periods; a financial data acquisition unit (not shown in the figure) configured to acquire a plurality of financial data of the candidate enterprise in a plurality of historical time periods; a goodness-of-fit generating unit (not shown in the figure) configured to fit the plurality of positioning data and the plurality of financial data to generate goodness-of-fit of the candidate enterprise; a candidate enterprise determination unit (not shown in the figure) configured to determine whether the candidate enterprise is a candidate enterprise based on the goodness of fit of the candidate enterprise; a candidate enterprise identity set generating unit (not shown in the figure) configured to generate an identity set of candidate enterprises based on the determined candidate enterprises; and a candidate enterprise identity set sending unit (not shown in the figure) configured to send the identity set of the candidate enterprise to the terminal device, so that the terminal device selects the identity of the candidate enterprise from the identity set of the candidate enterprise as the identity of the target enterprise.
In some optional implementations of this embodiment, the candidate enterprise determining unit may include: a comparison subunit (not shown in the figure) configured to compare the goodness-of-fit of the candidate enterprise with a preset goodness-of-fit threshold; a first determining subunit (not shown in the figure), configured to determine that the candidate enterprise is a candidate enterprise if the goodness-of-fit of the candidate enterprise is greater than a preset goodness-of-fit threshold; and a second determining subunit (not shown in the figure), configured to determine that the candidate enterprise is not the candidate enterprise if the goodness-of-fit of the candidate enterprise is not greater than the preset goodness-of-fit threshold.
In some optional implementations of this embodiment, the target time period may include a plurality of target time points; and the information pushing device 400 may further include: a positioning data determining unit (not shown in the figure) configured to determine, for each of a plurality of target time points, whether positioning data for the target time point is missing; and the positioning data filling unit (not shown in the figure) is configured to fill the positioning data of the target time point by utilizing an interpolation method in response to the fact that the positioning data of the target time point is lack.
In some optional implementations of this embodiment, locating the data shim unit may include: a first obtaining subunit (not shown in the figure), configured to obtain positioning data of a preset target time point before the target time point; a second obtaining subunit (not shown in the figure), configured to obtain positioning data of a preset target time point after the target time point; and an average value operator unit (not shown in the figure) configured to calculate an average value of the acquired positioning data as the positioning data of the target time point.
In some optional implementations of this embodiment, the positioning data may include a user identification; and the operation condition information generation unit 405 may include: a user identifier set obtaining subunit (not shown in the figure), configured to obtain a user identifier set corresponding to the object location data; a deduplication processing subunit (not shown in the figure), configured to perform deduplication processing on the user identifier set corresponding to the target location data, so as to obtain a target user identifier set; a target user identifier matching subunit (not shown in the figure), configured to, for each target user identifier in the target user identifier set, determine whether the target user identifier is successfully matched in the preset identifier set; a first serving subunit (not shown in the figure), configured to, if the target user identifier is successfully matched in the preset identifier set, serve the target user identifier as an identifier of a worker of the target enterprise; a second as subunit (not shown in the figure), configured to, if the target user identifier is unsuccessfully matched in the preset identifier set, use the target user identifier as an identifier of a visitor of the target enterprise; a counting subunit (not shown in the figure) configured to count the target user identifier set to obtain the number of staff of the target enterprise and the number of visitors of the target enterprise; and an operation condition information generating subunit (not shown in the figure) configured to generate the operation condition information of the target enterprise based on the number of persons of the staff of the target enterprise and the number of persons of the visitors of the target enterprise.
In some optional implementations of this embodiment, the operation status information generating subunit may include: a reference positioning data generating module (not shown in the figure) configured to collect positioning data of a user in a reference area within a target time period, and generate reference positioning data, wherein the reference area includes an area of a target enterprise; a user data set obtaining module (not shown in the figure) configured to obtain a user identifier set corresponding to the reference positioning data; a deduplication processing module (not shown in the figure) configured to perform deduplication processing on the user identifier set corresponding to the reference positioning data to obtain a reference user identifier set; a counting module (not shown in the figure) configured to count the reference user identifier set to obtain the number of the reference users; a normalization processing module (not shown in the figure) configured to normalize the number of staff members of the target enterprise and the number of visiting staff members of the target enterprise by the number of reference users to obtain a normalized number of staff members and a normalized number of visiting staff members; and an operation condition information generation module (not shown in the figure) configured to generate operation condition information of the target enterprise based on the normalized number of the staff members and the normalized number of the visiting staff members.
Referring now to FIG. 5, a block diagram of a computer system 500 suitable for use in implementing a server according to embodiments of the present application is shown. The server shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the computer system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program performs the above-described functions defined in the method of the present application when executed by the Central Processing Unit (CPU) 501.
It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor comprises a target enterprise identification receiving unit, a target enterprise identification matching unit, a target enterprise area determining unit, a target positioning data generating unit and an operating condition information generating unit. The names of these units do not in some cases constitute a limitation to the unit itself, and for example, the target enterprise identification receiving unit may also be described as "a unit that receives the identification of the target enterprise transmitted by the terminal device".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the server described in the above embodiments; or may exist separately and not be assembled into the server. The computer readable medium carries one or more programs which, when executed by the server, cause the server to: receiving a target enterprise identifier sent by terminal equipment; matching the identifier of the target enterprise in a pre-stored enterprise information set to obtain the geographic coordinates of the target enterprise, wherein each enterprise information in the enterprise information set comprises the identifier of the enterprise and the geographic coordinates of the enterprise; determining the area of the target enterprise by using the geographic coordinates of the target enterprise; acquiring positioning data of a user in the area of a target enterprise in a target time period to generate target positioning data; and generating the running state information of the target enterprise based on the target positioning data, and pushing the running state information to the terminal equipment.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.

Claims (16)

1. An information pushing method, characterized in that the method comprises:
receiving a target enterprise identifier sent by terminal equipment;
matching the identifier of the target enterprise in a pre-stored enterprise information set to obtain the geographic coordinates of the target enterprise, wherein each enterprise information in the enterprise information set comprises the identifier of the enterprise and the geographic coordinates of the enterprise;
determining the area of the target enterprise by using the geographic coordinates of the target enterprise;
acquiring positioning data of a user in the area of the target enterprise in a target time period to generate target positioning data;
generating operating condition information of the target enterprise based on the target positioning data, and pushing the operating condition information to the terminal equipment;
before receiving the identifier of the target enterprise sent by the terminal device, the method further includes:
for the identification of each candidate enterprise in the identification set of the candidate enterprises, acquiring a plurality of positioning data of a user in the area of the candidate enterprise in a plurality of historical time periods;
acquiring a plurality of financial data of the candidate enterprise in the plurality of historical time periods;
fitting the positioning data and the financial data to generate the goodness of fit of the candidate enterprise;
and determining whether the candidate enterprise is a candidate enterprise or not based on the goodness of fit of the candidate enterprise, wherein the candidate enterprise comprises the candidate enterprise, and the candidate enterprise comprises the target enterprise.
2. The method of claim 1, further comprising, before obtaining, for each candidate enterprise in the set of candidate enterprises, a plurality of positioning data of the user in the area of the candidate enterprise within a plurality of historical time periods, the method further comprising:
receiving an identification set of the alternative enterprises sent by the terminal equipment; and
after determining whether the candidate enterprise is a candidate enterprise based on the goodness-of-fit of the candidate enterprise, the method further includes:
generating an identification set of the candidate enterprises based on the determined candidate enterprises;
and sending the identification set of the candidate enterprises to the terminal equipment so that the terminal equipment selects the identification of the candidate enterprises from the identification set of the candidate enterprises as the identification of the target enterprise.
3. The method of claim 2, wherein determining whether the candidate business is a candidate business based on the goodness-of-fit of the candidate business comprises:
comparing the goodness of fit of the candidate enterprise with a preset goodness of fit threshold;
if the goodness of fit of the candidate enterprise is greater than the preset goodness of fit threshold, the candidate enterprise is a candidate enterprise;
and if the goodness of fit of the candidate enterprise is not greater than the preset goodness of fit threshold, the candidate enterprise is not the candidate enterprise.
4. The method of claim 1, wherein the target time period comprises a plurality of target time points; and
after collecting the positioning data of the user in the area of the target enterprise in the target time period, the method further comprises:
for each target time point in the plurality of target time points, determining whether the positioning data of the target time point is missing;
and filling the positioning data of the target time point by utilizing an interpolation method in response to the fact that the positioning data of the target time point is lack.
5. The method of claim 4, wherein the filling the positioning data of the target time point by interpolation comprises:
acquiring positioning data of a preset target time point before the target time point;
acquiring positioning data of a preset target time point behind the target time point;
and calculating the average value of the acquired positioning data, and taking the average value as the positioning data of the target time point.
6. The method of claim 1, wherein the positioning data comprises a user identification; and
generating the operating condition information of the target enterprise based on the target positioning data, including:
acquiring a user identification set corresponding to the object positioning data;
carrying out duplication elimination processing on a user identification set corresponding to the target positioning data to obtain a target user identification set;
for each target user identifier in the target user identifier set, determining whether the target user identifier is successfully matched in a preset identifier set;
if the target user identification is successfully matched in the preset identification set, taking the target user identification as the identification of the staff of the target enterprise;
if the target user identification is unsuccessfully matched in the preset identification set, taking the target user identification as the identification of the visitor of the target enterprise;
counting the target user identification set to obtain the number of workers of the target enterprise and the number of visitors of the target enterprise;
and generating the running condition information of the target enterprise based on the number of the staff of the target enterprise and the number of the visitors of the target enterprise.
7. The method of claim 6, wherein generating the operational status information for the target business based on the number of workers of the target business and the number of visitors of the target business comprises:
acquiring positioning data of a user in a reference area in the target time period to generate reference positioning data, wherein the reference area comprises the area of the target enterprise;
acquiring a user identification set corresponding to the reference positioning data;
carrying out deduplication processing on a user identification set corresponding to the reference positioning data to obtain a reference user identification set;
counting the reference user identification set to obtain the number of the reference users;
the number of the staff of the target enterprise and the number of the visiting staff of the target enterprise are normalized by the number of the reference users, so that the normalized number of the staff and the normalized number of the visiting staff are obtained;
and generating the operation condition information of the target enterprise based on the normalized number of the workers and the normalized number of the visitors.
8. An information pushing apparatus, characterized in that the apparatus comprises:
the target enterprise identification receiving unit is configured for receiving the identification of the target enterprise sent by the terminal equipment;
the target enterprise identification matching unit is configured to match the identification of the target enterprise in a pre-stored enterprise information set to acquire the geographic coordinates of the target enterprise, wherein each piece of enterprise information in the enterprise information set comprises the identification of the enterprise and the geographic coordinates of the enterprise;
the target enterprise region determining unit is configured to determine a region of the target enterprise by using the geographic coordinates of the target enterprise;
the target positioning data generating unit is configured to acquire positioning data of a user in the area of the target enterprise within a target time period and generate target positioning data;
the operation condition information generating unit is configured to generate operation condition information of the target enterprise based on the target positioning data and push the operation condition information to the terminal equipment;
wherein the apparatus further comprises:
the positioning data acquisition unit is configured to acquire a plurality of positioning data of the user in the area of the candidate enterprise within a plurality of historical time periods for the identifier of each candidate enterprise in the identifier set of the candidate enterprise;
the financial data acquisition unit is configured to acquire a plurality of financial data of the candidate enterprise in the plurality of historical time periods;
the goodness-of-fit generating unit is configured to fit the positioning data and the financial data to generate goodness-of-fit of the candidate enterprise;
and the candidate enterprise determining unit is configured to determine whether the candidate enterprise is a candidate enterprise or not based on the goodness of fit of the candidate enterprise, wherein the candidate enterprise comprises the candidate enterprise, and the candidate enterprise comprises the target enterprise.
9. The apparatus of claim 8, further comprising:
the system comprises an alternative enterprise identification set receiving unit, a terminal device and a service management unit, wherein the alternative enterprise identification set receiving unit is configured to receive an identification set of an alternative enterprise sent by the terminal device;
the candidate enterprise identification set generation unit is configured for generating an identification set of the candidate enterprises based on the determined candidate enterprises;
and the candidate enterprise identification set sending unit is configured to send the identification set of the candidate enterprise to the terminal device, so that the terminal device selects the identification of the candidate enterprise from the identification set of the candidate enterprise as the identification of the target enterprise.
10. The apparatus of claim 9, wherein the candidate business determination unit comprises:
the comparison subunit is configured to compare the goodness of fit of the candidate enterprise with a preset goodness of fit threshold;
the first determining subunit is configured to determine that the candidate enterprise is a candidate enterprise if the goodness of fit of the candidate enterprise is greater than the preset goodness of fit threshold;
and the second determining subunit is configured to determine that the candidate enterprise is not the candidate enterprise if the goodness of fit of the candidate enterprise is not greater than the preset goodness of fit threshold.
11. The apparatus of claim 8, wherein the target time period comprises a plurality of target time points; and
the device further comprises:
a positioning data determining unit configured to determine, for each of the plurality of target time points, whether positioning data for the target time point is missing;
and the positioning data filling unit is configured for responding to the determined lack of the positioning data of the target time point and filling the positioning data of the target time point by utilizing an interpolation method.
12. The apparatus of claim 11, wherein the location data shim unit comprises:
the first acquisition subunit is configured to acquire positioning data of a preset target time point before the target time point;
the second acquisition subunit is configured to acquire positioning data of a preset target time point after the target time point;
and the average value operator unit is configured to calculate the average value of the acquired positioning data and serve as the positioning data of the target time point.
13. The apparatus of claim 8, wherein the positioning data comprises a user identification; and
the operation condition information generation unit includes:
a user identifier set acquiring subunit configured to acquire a user identifier set corresponding to the object location data;
the duplication removing processing subunit is configured to perform duplication removing processing on the user identifier set corresponding to the target location data to obtain a target user identifier set;
the target user identifier matching subunit is configured to determine, for each target user identifier in the target user identifier set, whether the target user identifier is successfully matched in a preset identifier set;
the first serving subunit is configured to, if the target user identifier is successfully matched in the preset identifier set, serve the target user identifier as an identifier of a worker of the target enterprise;
the second as a subunit, configured to, if the target user identifier is unsuccessfully matched in the preset identifier set, use the target user identifier as an identifier of a visitor of the target enterprise;
the counting subunit is configured to count the target user identifier set to obtain the number of the staff of the target enterprise and the number of the visitors of the target enterprise;
and the operation condition information generating subunit is configured to generate the operation condition information of the target enterprise based on the number of the staff of the target enterprise and the number of the visitors of the target enterprise.
14. The apparatus of claim 13, wherein the operating condition information generating subunit comprises:
the reference positioning data generation module is configured to acquire positioning data of a user in a reference area in the target time period and generate reference positioning data, wherein the reference area comprises an area of the target enterprise;
a user data set acquisition module configured to acquire a user identifier set corresponding to the reference positioning data;
the duplication removing processing module is configured to perform duplication removing processing on the user identifier set corresponding to the reference positioning data to obtain a reference user identifier set;
the counting module is configured for counting the reference user identification set to obtain the number of the reference users;
the normalization processing module is configured to utilize the number of the reference users to perform normalization processing on the number of the staff of the target enterprise and the number of the visiting staff of the target enterprise to obtain the normalized number of the staff and the normalized number of the visiting staff;
and the operation condition information generation module is configured to generate the operation condition information of the target enterprise based on the normalized number of the workers and the normalized number of the visitors.
15. A server, characterized in that the server comprises:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
16. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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