CN116701784A - Dot search method, apparatus, device, storage medium, and program product - Google Patents
Dot search method, apparatus, device, storage medium, and program product Download PDFInfo
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- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/953—Querying, e.g. by the use of web search engines
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Abstract
The application relates to a method, a device, equipment, a storage medium and a program product for searching network points, which relate to the technical field of computers and can be used in the financial and technological field or other related fields. The method comprises the following steps: responding to a service network point searching instruction triggered by a user, and acquiring historical track data of at least one service network point which is passed by the user in a historical time period; according to the historical track data, determining interest reference values of users for each service network point; determining target service network points from the service network points according to the interest reference value; and displaying the target service network point. According to the method, the target service network point can be determined from the service network points which are stopped by the user according to the historical track data, namely, the user does not need to spend more time and energy to select the service network point according to a plurality of pieces of information, but searches the proper and familiar service network point for each user according to the historical track data of the user, so that more time and energy are saved, and the service handling efficiency is not influenced.
Description
Technical Field
The present application relates to the field of computer technology, and may be used in the field of financial technology or other related fields, and in particular, to a method, apparatus, device, storage medium, and program product for searching for dots.
Background
With the rapid development of socioeconomic performance, there is an increasing demand for business at the website. In order to provide high-quality service, various branches are established, and hundreds of users can be received every day.
In the related art, when a user searches for a website to transact a service, the user usually selects the website based on various information searched by the user, which wastes more time and energy, and once the user selects the website which has not been previously visited, the user needs to search for the position of the website further, which has a great influence on the service transacting efficiency.
Disclosure of Invention
Based on the foregoing, it is necessary to provide a method, an apparatus, a device, a storage medium and a program product for searching for a website, which can search for a suitable website for a user based on historical track data of the user, so that not only is more time and effort saved, but also the business handling efficiency is not affected.
In a first aspect, an embodiment of the present application provides a method for searching for a website. The method comprises the following steps:
Responding to a service network point searching instruction triggered by a user, and acquiring historical track data of at least one service network point which is passed by the user in a historical time period;
according to the historical track data, determining interest reference values of users for each service network point;
determining target service network points from the service network points according to the interest reference value;
and displaying the target service network point.
In one embodiment, the service node searching instruction carries searching time, and the step of obtaining the historical track data of at least one service node which is passed by the user in the historical time period includes:
determining a historical time period according to the search time;
and acquiring historical track data of at least one business network point which is passed by the user in the historical time period.
In one embodiment, determining the historical time period from the seek time includes:
displaying at least one candidate historical time period according to the search time;
and acquiring a candidate historical time period selected by the user in each candidate historical time period, and taking the selected candidate historical time period as a historical time period.
In one embodiment, determining the interest reference value of the user for each service website according to the historical track data includes:
Determining track weights of historical tracks of each path and residence time of each service network point according to the historical track data;
and determining interest reference values of the users to the service network points according to the track weights and the stay times.
In one embodiment, determining the track weight of each historical track of each path according to the historical track data comprises:
acquiring the time difference between the date of each historical track of each path and the current date from the historical track data;
and determining track weights of the historical tracks of each path according to the current date and each time difference.
In one embodiment, determining the interest reference value of the user for each service network point according to each track weight and each stay time includes:
and aiming at each service node, taking the sum of the products of the time of each stay at the service node and the track weight of the history track where the service node is located as an interest reference value of the user for the service node.
In one embodiment, determining the target service node from the service nodes according to the interest reference value includes:
and determining the service network point corresponding to the interest reference value larger than the preset threshold value as a target service network point from the service network points.
In one embodiment, before acquiring the historical track data of at least one service website that the user has routed through during the historical period, the method further includes:
sending authority detection information to a user;
and if the authority detection information of the user passes, acquiring historical track data of at least one business website which is passed by the user in a historical time period.
In a second aspect, the embodiment of the application also provides a device for searching the network points. The device comprises:
the data acquisition module is used for responding to a service network point searching instruction triggered by a user and acquiring historical track data of at least one service network point which is passed by the user in a historical time period;
the first determining module is used for determining an interest reference value of a user to the service network point according to the historical track data;
the second determining module is used for determining target service network points from the service network points according to the interest reference value;
and the network point display module is used for displaying the target service network points.
In a third aspect, the embodiment of the application further provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the steps of any of the embodiments of the first aspect described above when the processor executes the computer program.
In a fourth aspect, embodiments of the present application also provide a computer-readable storage medium. A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of any of the embodiments of the first aspect described above.
In a fifth aspect, embodiments of the present application also provide a computer program product. A computer program product comprising a computer program which when executed by a processor performs the steps of any of the embodiments of the first aspect described above.
According to the method, the device, the equipment, the storage medium and the program product for searching the network points, the historical track data of at least one service network point which is passed by a user in a historical time period is obtained, further, the interest reference value of the user for each service network point is determined according to the historical track data, then the target service network point is determined from each service network point according to the interest reference value, and finally the target service network point is displayed to the user. According to the method, the target service network point can be determined from the service network points which the user has stopped in the past according to the history track data by introducing the history track data, namely, the user does not need to spend more time and energy to select the service network point according to a plurality of pieces of information, but searches the proper and familiar service network point for each user according to the history track data of the user, so that more time and energy are saved, and the service handling efficiency is not influenced.
Drawings
FIG. 1 is a diagram of an application environment for a dot search method in one embodiment;
FIG. 2 is a flow chart of a method of searching for dots in one embodiment;
FIG. 3 is a schematic diagram of categorizing historical track data in one embodiment;
FIG. 4 is a flow diagram of determining interest reference values in one embodiment;
FIG. 5 is a flowchart of a method for searching for dots according to another embodiment;
FIG. 6 is a schematic diagram of a structure of a dot searching apparatus according to an embodiment;
FIG. 7 is a schematic diagram of a dot searching apparatus according to another embodiment;
FIG. 8 is a schematic diagram of a dot searching apparatus according to another embodiment;
fig. 9 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The method for searching the network points, which is provided by the embodiment of the application, can be applied to an application environment shown in figure 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. Optionally, the terminal 102 is configured to search for a service website by a user, and the user may fill in relevant information for searching for the service website, for example, search time, etc., in a visual interface integrated on the terminal 102. The terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, a method for searching for a website is provided, which is illustrated by using the method applied to the server 104 in fig. 1 as an example, and may include the following steps:
s201, responding to a service network point searching instruction triggered by a user, and acquiring historical track data of at least one service network point which is passed by the user in a historical time period.
In the embodiment of the application, the historical time period is a time period selected for acquiring the historical track data of the user; for example, the historical time period may include one week, one month, three months, half year, and so on.
The historical track data may include historical tracks traversed by the user, the number of times each historical track is traversed, the time difference between the date and the current date of each historical track of each pathway, the number of times each business dot is stopped in each historical track, the time each business dot is stopped, and the like. Optionally, after the historical track data of the historical time period is obtained, the historical track data can be classified, and a classification tree is established. For example, the historical time period is from ten points to twelve points in one month, and the classification tree is built after the historical track data corresponding to the historical time period is obtained, which can be shown in fig. 3; in the historical time period from ten points to twelve points in one month, three historical tracks passed by a user are track 1, track 2 and track 3 respectively; the times of each historical track of the path are respectively 3 times, 1 time and 2 times; the reserved service network points in each history track are respectively a track 1 reserved service network point A, a service network point B and a service network point C, a track 2 reserved service network point B and a service network point E, and a track 3 reserved service network point F; the number of stay service network points is 2 times for stay service network point A/3 times for stay service network point B/1 time for stay service network point C in track 1, 1 time for stay service network point B/1 time for stay service network point E in track 2 and 2 times for stay service network point F in track 3; the residence time of each residence time in each service network point is respectively 10min for the residence service network point A of the 1 st residence time/60 min for the residence service network point A of the 2 nd residence time in the track 1, and the like.
The current date is the date of the query site. Alternatively, the historical track data of the user may be stored in a database, and may be obtained from the database when the historical track data is required to be used.
Because any data about the user can be used only by authorization, authority detection is required before the historical track data of the user is obtained, and the historical track data of the user is obtained under the condition that the detection is passed. In one implementation, rights detection information is sent to a user; and if the authority detection information of the user passes, acquiring historical track data of at least one business website which is passed by the user in a historical time period.
The authority detection information can comprise information such as a name, a telephone, an identity card number, a verification code and the like of the user.
Optionally, a permission detection interface is displayed for the user, wherein the interface comprises permission detection information which needs to be filled by the user; after the user fills in the authority detection information at the corresponding position, the server can verify the authority detection information, and if the verification is correct, the authority detection information of the user passes through, the historical track data of at least one business website which is passed by the user in the historical time period can be obtained from the database.
For example, after the user fills in relevant information for searching for service network points in the visual interface integrated on the terminal, the terminal sends a service network point searching instruction to the server; after receiving the service website searching instruction, the server sends a data acquisition instruction for acquiring the historical track data of the user to the database, and then the database performs authority detection on the user, and if the detection passes, the historical track data of at least one service website which is passed by the user in the historical time period can be acquired.
S202, according to the historical track data, determining interest reference values of users to each service network point.
In the embodiment of the application, the interest reference value represents the interest degree of the user in each service network point.
One implementation may be to input historical trajectory data into a pre-trained model, which outputs a user's interest reference value for each business site.
Another implementation manner may be to input the historical track data into a feature extraction network, and perform feature extraction on the historical track data by the feature extraction network to obtain feature values of each service website; the user's interest reference value for each service site may then be determined based on the determination logic that determines the service site interest reference value. For example, for each service node, a ratio of the characteristic value of the service node to the sum of the characteristic values of the service nodes may be used as a reference value of interest of the user to the service node.
S203, determining target service network points from the service network points according to the interest reference value.
In the embodiment of the application, the number of the target service network points can be one or more.
In an implementation manner, from the service mesh points, the service mesh point corresponding to the interest reference value greater than the preset threshold value is determined as the target service mesh point.
Optionally, a threshold value for determining the target service network point may be preset; for each service node, if the interest reference value of the service node is greater than a preset threshold value, the service node can be used as a target service node.
In another implementation manner, the interest reference value of each service website may be input into a pre-trained model, and the model outputs the target service website.
S204, displaying the target service network point.
Optionally, after determining the target service node, the node information of the target service node may be obtained, and the target service node and the corresponding node information may be displayed. The website information may include website location, website business hours, website business offices, and the like.
If the old people need to search the network points, the mode can be realized with the help of relatives, and the target service network points are determined. For example, the relatives can obtain the historical track data of the old through authorization, the server determines the target service network point based on the S202-S204, the relatives can send the target service network point to the old, and the old selects the final service network point according to own requirements.
In the network point searching method provided by the embodiment of the application, the historical track data of at least one service network point which is passed by a user in a historical time period is obtained, so that the interest reference value of the user for each service network point is determined according to the historical track data, then the target service network point is determined from each service network point according to the interest reference value, and finally the target service network point is displayed to the user. According to the method, the target service network point can be determined from the service network points which the user has stopped in the past according to the history track data by introducing the history track data, namely, the user does not need to spend more time and energy to select the service network point according to a plurality of pieces of information, but searches the proper and familiar service network point for each user according to the history track data of the user, so that more time and energy are saved, and the service handling efficiency is not influenced.
When the historical track data of the user is acquired, corresponding data is required to be acquired according to the actual demands of the user so as to meet different demands of the user, and a proper service network point is accurately found for the user. Based on this, in one embodiment, the acquisition of the history trajectory data of the user according to the history period is further explained in detail. May include: determining a historical time period according to the search time; and acquiring historical track data of at least one business network point which is passed by the user in the historical time period.
Optionally, the service website searching instruction carries searching time, and the historical time period can be determined according to the searching time.
In one implementation, at least one candidate historical time period may be presented according to the seek time; and acquiring a candidate historical time period selected by the user in each candidate historical time period, and taking the selected candidate historical time period as a historical time period.
The service network point searching instruction is received, and the searching time input by the user can be obtained at the same time, and at least one candidate historical time period can be displayed to the user according to the searching time; for example, the seek time is ten midday, and the candidate history period may include ten to twelve points in one week from the current date, ten to twelve points in one month from the current date, ten to twelve points in one half year from the current date, and so on. Further, the user can select a required time period based on the displayed candidate historical time period, and the candidate historical time period selected by the user is used as a historical time period; and further, the historical track data of at least one business network point which is passed by the user in the historical time period can be obtained.
According to the embodiment of the application, the candidate historical time period is displayed to the user according to the searching time, the historical track data corresponding to the historical time period is acquired based on the candidate historical time period selected by the user, the actual requirement of the user is considered, and the proper service network point can be accurately searched for the user.
In one embodiment, an alternative way of determining the reference value of interest of the user to each service node is provided on the basis of the above embodiments. As shown in fig. 4, the following steps may be included:
s301, determining track weights of historical tracks of each path and residence time of each service network point according to the historical track data.
In the embodiment of the application, the track weight is determined based on the time distance of the historical track from the current date and the number of times of the path historical track.
In one implementation, the time difference between the date and the current date of each historical track of each path can be obtained from the historical track data; and determining track weights of the historical tracks of each path according to the current date and each time difference.
For example, for each historical track, track weights for the historical track for each pass may be determined according to the following equation (1).
Q i ＝Y * e^(-a * t i ) (1)
Wherein Y is the current date and is generally set to 100; e is 2.718; a is the attenuation times, and can be set according to actual requirements; t is t i For the i-th approach, the time difference between the date of the history track and the current date; q (Q) i Track weight of the historical track for the ith pass.
In another implementation, for each historical track, the current date, the time difference between the date of the historical track for each approach and the current date may be input into a pre-trained model, and the track weight of the historical track for each approach may be output by the model.
S302, according to the track weights and the stay times, the interest reference value of the user to each service network point is determined.
Optionally, the interest reference value of the user for each service website may be determined according to a preset determination logic for determining the interest reference value.
In one implementation, for each service node, the sum of the product of the time of each stay at the service node and the track weight of the history track where the service node is located can be used as the interest reference value of the user for the service node.
For example, if for a certain service website, the user stays at the website twice, and the stay time of each time at the service website is respectively 10min and 60min; the user approaches the historical track of the service network point twice, and the track weight of the historical track of the service network point in each approach is Q respectively 1 And Q 2 Wherein, stay for 10min corresponds to the track weight Q 1 Stay for 60min corresponding to track weight Q 2 The method comprises the steps of carrying out a first treatment on the surface of the At this time, the reference value of interest of the user to the service network point is Q 1 *10+Q 2 *60。
In the embodiment of the application, the track weight is introduced, the interest reference value of the user for each service network point can be determined according to the track weight and each stay time, and the target service network point can be further determined based on the interest reference value, so that data support is provided for determining the target service network point.
In addition, in one embodiment, the embodiment of the application also provides an alternative example of the dot searching method. As shown in connection with fig. 5, includes:
s401, responding to a service network point searching instruction triggered by a user, and displaying at least one candidate historical time period according to searching time carried in the service network point searching instruction.
S402, acquiring a candidate historical time period selected by a user in each candidate historical time period, and taking the selected candidate historical time period as a historical time period.
S403, acquiring historical track data of at least one business network point which is passed by the user in a historical time period.
Optionally, sending permission detection information to the user; and if the authority detection information of the user passes, acquiring historical track data of at least one business website which is passed by the user in a historical time period.
S404, obtaining the time difference between the date of each historical track of each path and the current date from the historical track data.
S405, determining track weights of historical tracks of each path according to the current date and each time difference.
S406, aiming at each service network point, taking the sum of the products of the time of each stay at the service network point and the track weight of the history track where the service network point is located as the interest reference value of the user to the service network point.
S407, determining the service network point corresponding to the interest reference value larger than the preset threshold value as a target service network point from the service network points.
And S408, displaying the target service network point.
The above processes of S401 to S408 may refer to the descriptions of the above method embodiments, and the implementation principle and technical effects are similar, and are not repeated herein.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a dot searching device for realizing the above-mentioned dot searching method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the device for searching for a website provided below may be referred to the limitation of the method for searching for a website hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 6, there is provided a dot search apparatus 1 including: a data acquisition module 10, a first determination module 20, a second determination module 30, and a dot display module 40, wherein:
the data acquisition module 10 is used for responding to a service website searching instruction triggered by a user to acquire historical track data of at least one service website which is passed by the user in a historical time period;
a first determining module 20, configured to determine, according to the historical track data, an interest reference value of the user for each service website;
a second determining module 30, configured to determine a target service node from the service nodes according to the interest reference value;
the website display module 40 is configured to display the target service website.
In one embodiment, as shown in fig. 7, the data acquisition module 10 may include:
A first determining unit 11 for determining a history period according to the seek time;
a data obtaining unit 12, configured to obtain historical track data of at least one service website that the user has passed through in a historical period.
In one embodiment, the first determining unit 11 may be configured to:
displaying at least one candidate historical time period according to the search time; and acquiring a candidate historical time period selected by the user in each candidate historical time period, and taking the selected candidate historical time period as a historical time period.
In one embodiment, as shown in fig. 8, the first determining module 20 may include:
a second determining unit 21, configured to determine, according to the historical track data, a track weight of each historical track of each path and a residence time of each path at each service node;
a third determining unit 22 is configured to determine, according to the track weights and the stay times, a reference value of interest of the user to each service node.
In one embodiment, the second determining unit 21 may be configured to:
acquiring the time difference between the date of each historical track of each path and the current date from the historical track data; and determining track weights of the historical tracks of each path according to the current date and each time difference.
In one embodiment, the third determining unit 22 may be configured to:
and aiming at each service node, taking the sum of the products of the time of each stay at the service node and the track weight of the history track where the service node is located as an interest reference value of the user for the service node.
In one embodiment, the second determining module 30 may be configured to:
and determining the service network point corresponding to the interest reference value larger than the preset threshold value as a target service network point from the service network points.
In one embodiment, the mesh point searching apparatus 1 further includes:
the information sending module is used for sending authority detection information to the user;
and the information detection module is used for acquiring the historical track data of at least one business website which is passed by the user in the historical time period if the authority detection information of the user passes.
The above-described respective modules in the dot search device may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 9. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing site lookup data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements a method of dot search.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 9 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
responding to a service network point searching instruction triggered by a user, and acquiring historical track data of at least one service network point which is passed by the user in a historical time period;
according to the historical track data, determining interest reference values of users for each service network point;
determining target service network points from the service network points according to the interest reference value;
and displaying the target service network point.
In one embodiment, when the processor executes logic in the computer program to obtain historical track data of at least one service website that the user has traversed during the historical time period, the following steps may be implemented:
determining a historical time period according to the search time; and acquiring historical track data of at least one business network point which is passed by the user in the historical time period.
In one embodiment, when the processor executes logic in the computer program to determine the historical time period based on the seek time, the following steps may be implemented:
displaying at least one candidate historical time period according to the search time; and acquiring a candidate historical time period selected by the user in each candidate historical time period, and taking the selected candidate historical time period as a historical time period.
In one embodiment, when the processor executes logic in the computer program for determining the reference value of interest of the user to each service website according to the historical track data, the following steps may be implemented:
determining track weights of historical tracks of each path and residence time of each service network point according to the historical track data; and determining interest reference values of the users to the service network points according to the track weights and the stay times.
In one embodiment, the processor executes logic in the computer program to determine the track weight for each historical track of the path based on the historical track data, wherein the following steps are implemented:
acquiring the time difference between the date of each historical track of each path and the current date from the historical track data; and determining track weights of the historical tracks of each path according to the current date and each time difference.
In one embodiment, when the processor executes logic in the computer program to determine the reference value of interest of the user to each service website according to each track weight and each residence time, the following steps may be implemented:
and aiming at each service node, taking the sum of the products of the time of each stay at the service node and the track weight of the history track where the service node is located as an interest reference value of the user for the service node.
In one embodiment, when the processor executes logic in the computer program to determine the target service node from the service nodes according to the interest reference value, the following steps may be implemented:
and determining the service network point corresponding to the interest reference value larger than the preset threshold value as a target service network point from the service network points.
In one embodiment, when the processor executes logic before acquiring the historical track data of at least one service website that the user has traversed in the historical time period in the computer program, the following steps may be implemented:
sending authority detection information to a user; and if the authority detection information of the user passes, acquiring historical track data of at least one business website which is passed by the user in a historical time period.
The principles and processes of implementing the above-mentioned embodiments of the computer device may be referred to the description of the embodiments of the dot searching method in the foregoing embodiments, which are not repeated herein.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
responding to a service network point searching instruction triggered by a user, and acquiring historical track data of at least one service network point which is passed by the user in a historical time period;
According to the historical track data, determining interest reference values of users for each service network point;
determining target service network points from the service network points according to the interest reference value;
and displaying the target service network point.
In one embodiment, the logic in the computer program for obtaining historical track data of at least one service node that the user has routed through during the historical time period may implement the following steps when executed by the processor:
determining a historical time period according to the search time; and acquiring historical track data of at least one business network point which is passed by the user in the historical time period.
In one embodiment, the logic in the computer program for determining the historical time period based on the seek time, when executed by the processor, may implement the steps of:
displaying at least one candidate historical time period according to the search time; and acquiring a candidate historical time period selected by the user in each candidate historical time period, and taking the selected candidate historical time period as a historical time period.
In one embodiment, the logic for determining the reference value of interest of the user to each service node according to the historical track data in the computer program may be executed by the processor, and the following steps may be implemented:
Determining track weights of historical tracks of each path and residence time of each service network point according to the historical track data; and determining interest reference values of the users to the service network points according to the track weights and the stay times.
In one embodiment, the logic in the computer program for determining the track weight for each historical track of the pathway based on the historical track data may implement the following steps, each time the logic is executed by the processor:
acquiring the time difference between the date of each historical track of each path and the current date from the historical track data; and determining track weights of the historical tracks of each path according to the current date and each time difference.
In one embodiment, the logic in the computer program for determining the reference value of interest of the user to each service node according to each track weight and each residence time may implement the following steps when executed by the processor:
and aiming at each service node, taking the sum of the products of the time of each stay at the service node and the track weight of the history track where the service node is located as an interest reference value of the user for the service node.
In one embodiment, the logic in the computer program for determining the target service node from the service nodes according to the interest reference value is executed by the processor, and the following steps may be implemented:
And determining the service network point corresponding to the interest reference value larger than the preset threshold value as a target service network point from the service network points.
In one embodiment, the logic before the logic for obtaining the historical track data of at least one service node that the user has routed during the historical time period in the computer program is executed by the processor, may implement the following steps:
sending authority detection information to a user; and if the authority detection information of the user passes, acquiring historical track data of at least one business website which is passed by the user in a historical time period.
The principles and processes of implementing the foregoing embodiments of the computer readable storage medium may be referred to in the foregoing embodiments of the dot searching method, which are not described herein.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
responding to a service network point searching instruction triggered by a user, and acquiring historical track data of at least one service network point which is passed by the user in a historical time period;
according to the historical track data, determining interest reference values of users for each service network point;
Determining target service network points from the service network points according to the interest reference value;
and displaying the target service network point.
In one embodiment, the logic in the computer program for obtaining historical track data of at least one service node that the user has routed through during the historical time period may implement the following steps when executed by the processor:
determining a historical time period according to the search time; and acquiring historical track data of at least one business network point which is passed by the user in the historical time period.
In one embodiment, the logic in the computer program for determining the historical time period based on the seek time, when executed by the processor, may implement the steps of:
displaying at least one candidate historical time period according to the search time; and acquiring a candidate historical time period selected by the user in each candidate historical time period, and taking the selected candidate historical time period as a historical time period.
In one embodiment, the logic for determining the reference value of interest of the user to each service node according to the historical track data in the computer program may be executed by the processor, and the following steps may be implemented:
determining track weights of historical tracks of each path and residence time of each service network point according to the historical track data; and determining interest reference values of the users to the service network points according to the track weights and the stay times.
In one embodiment, the logic in the computer program for determining the track weight for each historical track of the pathway based on the historical track data may implement the following steps, each time the logic is executed by the processor:
acquiring the time difference between the date of each historical track of each path and the current date from the historical track data; and determining track weights of the historical tracks of each path according to the current date and each time difference.
In one embodiment, the logic in the computer program for determining the reference value of interest of the user to each service node according to each track weight and each residence time may implement the following steps when executed by the processor:
and aiming at each service node, taking the sum of the products of the time of each stay at the service node and the track weight of the history track where the service node is located as an interest reference value of the user for the service node.
In one embodiment, the logic in the computer program for determining the target service node from the service nodes according to the interest reference value is executed by the processor, and the following steps may be implemented:
and determining the service network point corresponding to the interest reference value larger than the preset threshold value as a target service network point from the service network points.
In one embodiment, the logic before the logic for obtaining the historical track data of at least one service node that the user has routed during the historical time period in the computer program is executed by the processor, may implement the following steps:
sending authority detection information to a user; and if the authority detection information of the user passes, acquiring historical track data of at least one business website which is passed by the user in a historical time period.
The principles and processes of implementing the embodiments of the computer program product provided above may be referred to in the foregoing embodiments of the dot searching method embodiment, which are not described herein.
The data (including but not limited to, historical track data, etc.) related to the present application is information and data authorized or fully authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (12)
1. A method for searching for dots, the method comprising:
responding to a service network point searching instruction triggered by a user, and acquiring historical track data of at least one service network point which is passed by the user in a historical time period;
determining interest reference values of the user to the service network points according to the historical track data;
determining target service network points from the service network points according to the interest reference value;
And displaying the target service network point.
2. The method according to claim 1, wherein the service node search instruction carries a search time, and the obtaining historical track data of at least one service node that the user has passed in a historical period of time includes:
determining the historical time period according to the search time;
and acquiring historical track data of at least one business network point which is passed by the user in a historical time period.
3. The method of claim 2, wherein said determining said historical period of time from said seek time comprises:
displaying at least one candidate historical time period according to the searching time;
and acquiring a candidate historical time period selected by the user from the candidate historical time periods, and taking the selected candidate historical time period as the historical time period.
4. A method according to any one of claims 1-3, wherein said determining, from said historical trajectory data, a reference value of interest of said user to each of said service sites comprises:
determining track weight of each historical track of each path and residence time of each service network point according to the historical track data;
And determining interest reference values of the users to the service network points according to the track weights and the residence time.
5. The method of claim 4, wherein determining the track weight of each of the historical tracks for each pass based on the historical track data comprises:
acquiring the time difference between the date of each historical track of each path and the current date from the historical track data;
and determining track weights of the historical tracks of each path according to the current date and the time differences.
6. The method of claim 4, wherein said determining the user's interest reference value for each of the service sites based on each of the trajectory weights and each of the dwell times comprises:
and aiming at each service network point, taking the sum of the products of the time of each stay at the service network point and the track weight of the history track where the service network point is located as the interest reference value of the user to the service network point.
7. A method according to any of claims 1-3, wherein said determining a target service node from each of said service nodes based on said interest reference value comprises:
And determining the service network point corresponding to the interest reference value larger than a preset threshold value as the target service network point from the service network points.
8. A method according to any of claims 1-3, wherein prior to obtaining historical trajectory data for at least one service node that the user has traversed over a historical period of time, the method further comprises:
sending permission detection information to the user;
and if the authority detection information of the user passes, acquiring historical track data of at least one business website which is passed by the user in the historical time period.
9. A dot search device, the device comprising:
the data acquisition module is used for responding to a service website searching instruction triggered by a user and acquiring historical track data of at least one service website which is passed by the user in a historical time period;
the first determining module is used for determining interest reference values of the user to the service network points according to the historical track data;
the second determining module is used for determining target service network points from the service network points according to the interest reference value;
and the network point display module is used for displaying the target service network points.
10. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 8 when the computer program is executed.
11. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 8.
12. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the method of any one of claims 1 to 8.
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|---|---|---|---|
| CN202310491875.5A CN116701784A (en) | 2023-05-04 | 2023-05-04 | Dot search method, apparatus, device, storage medium, and program product |
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| CN202310491875.5A CN116701784A (en) | 2023-05-04 | 2023-05-04 | Dot search method, apparatus, device, storage medium, and program product |
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