CN115146156B - Point-of-interest behavior linkage adjustment method, device, equipment and medium - Google Patents
Point-of-interest behavior linkage adjustment method, device, equipment and medium Download PDFInfo
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- CN115146156B CN115146156B CN202210751768.7A CN202210751768A CN115146156B CN 115146156 B CN115146156 B CN 115146156B CN 202210751768 A CN202210751768 A CN 202210751768A CN 115146156 B CN115146156 B CN 115146156B
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Abstract
The disclosure provides a linkage adjustment method, a device, equipment and a medium for the behavior of an interest point, which relate to the technical field of data processing, in particular to the technical field of information linkage processing, and the linkage adjustment method for the behavior of the interest point comprises the following steps: when detecting that the state of behavior of the target interest point is changed, acquiring a target child interest point taking the target interest point as a father interest point; and carrying out linkage adjustment on the behavior state of each target sub-interest point according to the father-son relationship compactness of each target sub-interest point and each target interest point. According to the method and the device, a father-son linkage strategy can be introduced into the point of interest behavior change mining scene, so that better travel experience can be provided for users, and the cost of data updating is greatly reduced.
Description
Technical Field
The disclosure relates to the field of data processing, in particular to the technical field of information linkage processing, and specifically relates to a linkage adjustment method, device, equipment and medium for the behavior of interest points.
Background
In general, a point of interest may be a business, a school, a fast food restaurant, a bank, a hotel, etc. in the real world. The expired interest points have a great influence on the user, and if a user searches a store on a map and finds a door closing after navigating to a destination, the user is not only time-lost but also money-lost.
In the related art, the state change of a single interest point is mainly considered in the point of interest behavior mining. The state change of a single interest point is found to be more difficult, and the interest point is required to have information capable of sensing real world changes. However, some small points of interest or points of interest in remote areas are difficult to acquire changed information in real time by the existing means, so that outdated points of interest cannot be deleted from a map in time, and poor traveling experience is caused to users.
Disclosure of Invention
The disclosure provides a linkage adjustment method, device, equipment and medium for the behavior of interest points.
According to an aspect of the present disclosure, there is provided a linkage adjustment method for the behavior of a point of interest, including:
when detecting that the state of behavior of the target interest point is changed, acquiring a target child interest point taking the target interest point as a father interest point;
and carrying out linkage adjustment on the behavior state of each target sub-interest point according to the father-son relationship compactness of each target sub-interest point and each target interest point.
According to another aspect of the present disclosure, there is provided a linkage adjustment method for point of interest behavior, including:
when the situation that the current state of the target road is changed from the normal state to the outdated state is detected, acquiring an interest point in the road with a binding relation with the target road;
And (5) adjusting the behavior state linkage of the interest points in each road to be an overdue state.
According to another aspect of the present disclosure, there is provided a linkage adjustment device for point of interest behavior, including:
the target sub-interest point acquisition module is configured to acquire a target sub-interest point taking the target interest point as a father interest point when detecting that the behavior state of the target interest point is changed;
the first linkage adjustment module is configured to carry out linkage adjustment on the behavior state of each target sub-interest point according to the father-son relationship compactness of each target sub-interest point and the target interest point.
According to another aspect of the present disclosure, there is provided a linkage adjustment device for point of interest behavior, including:
the in-road interest point acquisition module is configured to acquire an in-road interest point with a binding relation with a target road when detecting that the current state of the target road is changed from a normal state to an overdue state;
and the second linkage adjustment module is configured to carry out linkage adjustment on the behavior states of the interest points in the roads to be in an overdue state.
According to another aspect of the present disclosure, there is provided an electronic device including:
one or more processors;
a storage means for storing one or more programs;
The one or more programs, when executed by the one or more processors, cause the one or more processors to implement a point of interest actionable linkage adjustment method as in any of the embodiments of the present disclosure.
According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium of computer instructions for causing a computer to perform a method of coordinated adjustment of point of interest aggressiveness in any embodiment of the present disclosure.
According to another aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements a method of coordinated adjustment of point of interest aggressiveness in any embodiment of the present disclosure.
According to the technical scheme, the father-son linkage strategy can be introduced into the interest point behavior change mining scene, so that better travel experience can be provided for a user, and the cost of data updating is greatly reduced.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
FIG. 1 is a flow chart of a method for coordinated adjustment of point of interest behavior provided by an embodiment of the present disclosure;
FIG. 2a is a flow chart of a method for coordinated adjustment of point of interest behavior provided by an embodiment of the present disclosure;
FIG. 2b is a flow chart of a coordinated adjustment of point of interest behavior provided by an embodiment of the present disclosure;
fig. 3 is a schematic flow chart of a father-son interest point information linkage adjustment provided in an embodiment of the disclosure;
FIG. 4 is a schematic flow chart of another embodiment of the present disclosure for linking adjustment of parent-child interest point information;
FIG. 5 is a flow chart of a coordinated adjustment of point of interest behavior provided by an embodiment of the present disclosure;
FIG. 6 is a schematic diagram of a point of interest actionable linkage adjustment mechanism provided by the present disclosure;
FIG. 7 is a schematic diagram of another point of interest actionable linkage adjustment mechanism provided by the present disclosure; FIG. 8 illustrates a schematic block diagram of an example electronic device that may be used to implement embodiments of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In one example, fig. 1 is a flowchart of a method for adjusting the point of interest gesture linkage provided in an embodiment of the present disclosure, where the embodiment may be applicable to a case of multi-point gesture linkage adjustment, the method may be performed by a point of interest gesture linkage adjustment device, and the device may be implemented by at least one of software and hardware, and may be generally integrated in an electronic device. Accordingly, as shown in fig. 1, the method includes the following operations:
step 110, when detecting that the behavior state of the target point of interest changes, acquiring a target child point of interest taking the target point of interest as a father point of interest.
The target interest point can be a place with a geographic position and a name, wherein the place needs to be in information linkage. Alternatively, the target points of interest may include, but are not limited to, landmark points present in a digital map. By way of example, the target points of interest may include shops, schools, fast food restaurants, banks, hotels, and the like in a digital map. The actionable state may be used to reflect the latest state of geospatial information provided by the map. The target child point of interest may be a location with a geographic location and a name within the target point of interest as a parent point of interest. The target sub-points of interest may be infrastructure in the target points of interest (e.g., north door, west door, south door, north door, etc.), or may be merchants in the target points of interest.
In the embodiment of the disclosure, the current state of the target interest point can be detected, and when the current state of the detected target interest point is changed, the target child interest point with the target interest point as the father interest point in the region of the target interest point can be further obtained.
It can be understood that when the target point of interest of the normal business stops operating, the target point of interest of the original stop business again normally operates, or a target point of interest is newly generated, the behavior state of the target point of interest is changed.
And 120, carrying out linkage adjustment on the behavior state of each target sub-interest point according to the father-son relationship compactness of each target sub-interest point and the target interest point.
Wherein the father-son relationship closeness can be used for reflecting the change frequency degree of the target child interest points in the target interest points. In general, merchants in a mall are frequently replaced, infrastructure in the mall is not changed basically, and the degree of changing frequency of a target sub-interest point in the mall can be utilized to describe father-son relationship compactness of the target sub-interest point and the target interest point (father-son relationship compactness of the base facility and the mall is stronger than father-son relationship compactness of the merchant and the mall).
In the embodiment of the disclosure, the father-son relationship compactness between each target sub-interest point and the target interest point can be determined according to the change frequency degree of each target sub-interest point at the target interest point, so that the behavior state of each target sub-interest point is updated according to the current behavior state of the target interest point and the father-son relationship compactness between each target sub-interest point and the target interest point, and the behavior state linkage adjustment of the target interest point and the target sub-interest point is realized.
According to the technical scheme, when the situation state change of the target interest point is detected, the target sub-interest point taking the target interest point as the father interest point is obtained, and then linkage adjustment is carried out on the situation state of each target sub-interest point according to the father-son relationship compactness of each target sub-interest point and the target interest point. Because father-son relationship exists between the target interest point and the target sub-interest point, linkage adjustment is carried out on the behavior states of the target sub-interest points according to the father-son relationship compactness of the target sub-interest points and the target interest point, so that the situation that data cannot be updated timely due to the fact that the behavior states of the target sub-interest points are not adjusted when the behavior states of the target interest points are changed can be avoided, the problem that the data updating cost is high due to the fact that the behavior states of the single target sub-interest points are updated in time can be avoided, the problem that user traveling experience is poor due to the fact that the behavior states of the interest points cannot be updated timely in the prior art is solved, a father-son linkage strategy can be introduced into a behavior change mining scene of the interest points, better traveling experience can be provided for users, and the cost of data updating is greatly reduced.
In an example, fig. 2a is a flowchart of a method for adjusting behavior of an interest point according to an embodiment of the present disclosure, where an optional implementation manner of establishing a parent-child relationship compactness between each child interest point and a parent interest point of the parent interest point is provided before a target child interest point using the target interest point as the parent interest point is obtained when a behavior state change of the target interest point is detected. Accordingly, as shown in fig. 2a, the method comprises the following operations:
step 210, establishing a parent-child relationship between the points of interest according to at least one of the addresses, longitudes and latitudes and names of the points of interest.
The point of interest address may be a location where the point of interest is located. The point of interest longitude and latitude may be used to describe the geographic coordinates of the point of interest. The point of interest name may be a place name of the point of interest.
In the embodiment of the disclosure, the address, the longitude and latitude of the interest point and the name of the interest point of each interest point can be obtained based on the existing digital map, the global positioning technology and the like, and then the affiliated relationship among the interest points is determined according to at least one of the address, the longitude and latitude of the interest point and the name of the interest point, and then the father-son relationship among the interest points is established according to the affiliated relationship among the interest points.
Step 220, establishing father-son relationship compactness between each child interest point and the father-son interest point according to the interest point attribute of each child interest point.
The interest point attribute may be a feature of the interest point itself. Optionally, the interest point attributes include, but are not limited to, an actionable state, an interest point name, an interest point type, and an actionable confidence level (i.e., a confidence level for the actionable state), among others. The situational confidence level can be constructed by characteristic construction through available state information (signboard information, comments, reservation information, navigation times and the like) of the interest points, and state prediction is carried out on the interest points through a known model (such as GBDT & TCN model and the like). Illustratively, the actionable confidence level may be represented by a value in the range of 0-1, with a higher value having a greater likelihood that the actionable state of the point of interest is an expired state. The embodiments of the present disclosure do not limit the value interval corresponding to the activity confidence and the correspondence between the value and the possibility of the expiration state.
In the embodiment of the disclosure, the change frequency of each child interest point can be determined based on the interest point attribute of each child interest point, so that the father-son relationship compactness of each child interest point and the father-son relationship compactness of the father interest point are established according to the change frequency of each child interest point. The father-son relationship between the interest points is determined through the information such as the geographic position and/or the name of the interest points, so that the accuracy of the father-son relationship between the interest points can be ensured, and wrong information linkage is avoided.
In an optional embodiment of the disclosure, establishing a parent-child relationship closeness between each child interest point and the parent interest point according to the interest point attribute of each child interest point may include: matching the interest point attribute of the current processing sub-interest point with an infrastructure element library in the region; if the matching is successful, determining that the closeness of the father-son relationship between the current processing child interest point and the father interest point is strong closeness; if the matching fails, determining that the closeness of the father-son relationship between the current processing child interest point and the father interest point is weak closeness.
The current processing child interest point may be a child interest point that needs to determine a closeness of a parent-child relationship with the parent interest point. The in-region infrastructure element library may be a database of infrastructure-related data that exists within the parent point of interest region. Alternatively, the infrastructure element library may include, but is not limited to, an infrastructure type, an infrastructure name, and the like.
In the embodiment of the disclosure, a parent interest point to which the current processing sub-interest point belongs may be determined first, and then an in-area infrastructure element library matched with the parent interest point may be obtained, so that the interest point attribute of the current processing sub-interest point is matched with the in-area infrastructure element library. If the current processing sub-interest point exists in the infrastructure element library in the area, the interest point attribute of the current processing sub-interest point is successfully matched with the infrastructure element library in the area, and the father-son relationship compactness of the current processing sub-interest point and the father-son relationship compactness of the father-son interest point can be determined to be strong compactness. If the current processing sub-interest point is not in the infrastructure element library in the area, the interest point attribute of the current processing sub-interest point is indicated to be failed to be matched with the infrastructure element library in the area, and the father-son relationship compactness of the current processing sub-interest point and the father-son relationship compactness of the father-son interest point is determined to be weak compactness. By matching the current processing sub-interest points with infrastructure elements in the region, the existence of the parent-child relationship between the interest points for determining the compactness of the parent-child relationship can be ensured, and information linkage errors are avoided.
Step 230, when detecting that the behavior state of the target point of interest changes, obtaining a target child point of interest using the target point of interest as a parent point of interest.
In the embodiment of the disclosure, when the operation state of the target interest point is changed from operation to closing, it may be detected that the current state of the target interest point is changed from a normal state to an expired state. When the operation state of the target interest point is changed from shutdown to operation, the change of the behavior state of the target interest point from an expiration state to a normal state can be detected. And when the target interest point is a new interest point generated, the detected state of the target interest point is a normal state. By detecting the behavior state of the target interest point, whether the behavior state of the target interest point is changed or not can be timely determined, and further accurate information linkage is carried out on the target sub-interest point matched with the target interest point.
Step 240, performing linkage adjustment on the behavior state of each target sub-interest point according to the father-son relationship compactness of each target sub-interest point and the target interest point.
In an optional embodiment of the disclosure, performing linkage adjustment on the behavior state of each target sub-interest point according to the closeness of the father-son relationship between each target sub-interest point and the target interest point may include: identifying a first class of sub-interest points with strong closeness of father-son relationship in each target sub-interest point; and carrying out linkage adjustment on the behavior states of the first class sub-interest points according to the behavior state change result of the target interest points.
The first type of sub-interest points can be interest points with strong closeness to father-son relations of the target sub-interest points. The current state change result may be a change result after the current state of the target point of interest is changed.
In the embodiment of the disclosure, the target sub-interest points can be screened according to the father-son relationship compactness of each target sub-interest point and the target interest points, so that the target sub-interest points with strong compactness of the father-son relationship compactness of the target interest points are obtained and used as the first type sub-interest points, the current state change result (such as an expiration state or a normal state) of the target interest points is further obtained, the current state change result of the target interest points is synchronized to each first type sub-interest point, the information linkage adjustment of the target interest points and each first type sub-interest points is realized, and the problem of poor user experience caused by untimely information linkage is prevented.
For example, when the operation state of the target interest point is changed from operation to shutdown, the current state of the first class sub-interest point may be changed from the normal state to the outdated state. When the operation state of the target interest point is changed from closing to operation, the behavior state of the first-class sub-interest point can be changed from an overdue state to a normal state. When the target interest point is a new interest point generated, the first sub-interest point state can be updated to be in a normal state.
In an alternative embodiment of the present disclosure, detecting that the target point of interest is experiencing a change in behavior state may include: detecting that the current state of the target interest point is changed from a normal state to an overdue state; according to the father-son relationship compactness of each target sub-interest point and the target interest point, the linkage adjustment of the behavior state of each target sub-interest point can comprise: identifying a second class of sub-interest points with father-son relationship compactness as weak compactness in each target sub-interest point; and carrying out linkage adjustment on the behavior states of the second class of sub-interest points according to the behavior state change basis of the target interest points.
The second class of sub-interests may be interest points with father-son relationship compactness being weak compactness in the target sub-interest points.
In the embodiment of the disclosure, after detecting that the current state of the target interest point is changed from the normal state to the outdated state, the target sub-interest points can be screened according to the father-son relationship compactness of each target sub-interest point and the target interest point, so as to obtain the target sub-interest point with weak compactness with the father-son relationship compactness of the target interest point, and the target sub-interest point is used as the second class sub-interest point. Further, the state change basis of the current situation of the target interest point is obtained, the state of the current situation of each second class of sub-interest point is linked according to the state change basis of the current situation of the target interest point, accurate linkage adjustment of the target interest point and each second class of sub-interest point is achieved, and the problem that user experience is poor due to untimely information linkage is prevented.
In an optional embodiment of the present disclosure, performing linkage adjustment on the behavior states of the second class of sub-interest points according to the behavior state change basis of the target interest point may include: and if the state change of the current situation of the target interest point is determined according to the manual feedback change, the state linkage of the current situation of each second class of sub-interest point is adjusted to be an overdue state.
In the embodiment of the disclosure, if the behavior state of the target point of interest is an expired state and the behavior state of the target point of interest is changed according to manual feedback, the behavior state of the second class of sub-points of interest is adjusted to be the expired state in a linkage manner. Because the accuracy of the information fed back manually is high, when the state of the current situation of the target point of interest is changed through the manual feedback, the probability of the state change of the current situation of the target point of interest is high, and the state of the current situation of each second class of sub-point of interest and the state of the current situation of the target point of interest are changed in a linkage mode, so that the timely update of the state of the current situation of the point of interest can be ensured, and the accuracy of the state update of the current situation can be ensured.
In an optional embodiment of the present disclosure, performing linkage adjustment on the behavior states of the second class of sub-interest points according to the behavior state change basis of the target interest point may include: if the change basis of the behavior state of the target interest point is model prediction change, calculating the proportion of the second class sub-interest points with the behavior state of an overdue state in all the second class sub-interest points; and if the specific gravity exceeds a preset threshold value, the behavior state linkage of each second class of sub-interest points is adjusted to be an overdue state.
The threshold value may be a preset proportional value.
In the embodiment of the disclosure, the behavior state of the target point of interest may be predicted based on a model that completes training, when the behavior state of the target point of interest is determined to be an outdated state according to the model prediction, the proportion of the second type of sub-points of interest whose behavior state is the outdated state in all the second type of sub-points of interest may be calculated, and if the proportion exceeds a preset threshold, the behavior states of the second type of sub-points of interest are adjusted to be the outdated state in a linkage manner.
Because of error in model prediction, the proportion of the second class sub-interest points with the behavior state being the outdated state in all the second class sub-interest points is adjusted to be the outdated state in a linkage way when the preset threshold value is exceeded, and the situation of error update of the behavior state of the interest points caused by model prediction errors can be avoided.
For example, a topological relation of the points of interest (father-son relation between the points of interest) can be constructed according to the addresses of the points of interest and the longitude and latitude of the points of interest, and strong compactness can be identified by using a number 1, and weak compactness can be identified by using a number 2.
In a specific example, suppose that the point of interest a is mcdonavis (a vantage store), the point of interest B is vantage-siemens, and the point of interest C is vantage, and the three topological relations of interest are stored in the following form:
key point of interest a (mcdonavity), value { 'parent point of interest': point of interest C is a universe of sink, 'flag':2}, representing that point of interest A is a child point of interest C, and the father-son relationship closeness of the two is weak closeness. key point of interest B (universal sink (siemens)), value { 'parent point of interest': the interest point C is a universal sink, 'flag':1}, and indicates that the interest point B is a child interest point of the interest point C, and the father-son relationship compactness of the interest point C and the father-son relationship compactness of the interest point B is strong compactness. key point of interest C (all-round sink), value { 'parent point of interest': no, 'flag' 0}, indicating that there is no parent point of interest for point of interest C.
For example, when there is a manual feedback of the point of interest closing, or when the point of interest closing is predicted based on a model (the actionable confidence level exceeds a set threshold), the actionable state of the point of interest may be changed from a normal state to an outdated state. When the name of the interest point is manually fed back to change or the name of the interest point is perceived to change through the action technology, the name of the interest point is changed in real time. For example, when the name of the interest point of the parent interest point is changed, the addresses and the names of all the child interest points of the interest point need to be modified.
According to the technical scheme, father-son relations among all the interest points are established according to at least one of the interest point addresses, the longitude and latitude of the interest points and the names of the interest points, father-son relation compactness of all the child interest points and the father-son relation compactness of the father interest points is further established according to the interest point attributes of all the child interest points, so that when the situation state change of the target interest point is detected, the target child interest point taking the target interest point as the father interest point is obtained, and linkage adjustment is further carried out on the situation state of all the target child interest points according to the father-son relation compactness of all the target child interest points and the target interest point. The accuracy of the parent-child relationship between the points of interest can be ensured by determining the parent-child relationship between the points of interest through the information such as the geographic position and/or the name of the points of interest. Because father-son relationship exists between the target interest point and the target sub-interest point, linkage adjustment is carried out on the behavior states of the target sub-interest points according to the father-son relationship compactness of the target sub-interest points and the target interest point, so that the situation that data cannot be updated timely due to the fact that the behavior states of the target sub-interest points are not adjusted when the behavior states of the target interest points are changed can be avoided, the problem that the data updating cost is high due to the fact that the behavior states of the single target sub-interest points are updated in time can be avoided, the problem that user traveling experience is poor due to the fact that the behavior states of the interest points cannot be updated timely in the prior art is solved, a father-son linkage strategy can be introduced into a behavior change mining scene of the interest points, better traveling experience can be provided for users, and the cost of data updating is greatly reduced.
In one example, fig. 2b is a flowchart of a coordinated adjustment of the point of interest behavior provided by an embodiment of the present disclosure, as shown in fig. 2b, the method includes:
step 2100, establishing a parent-child relationship between the points of interest according to at least one of the addresses, longitudes and latitudes of the points of interest and the names of the points of interest.
Step 2110, matching the interest fixed attribute of the current processing sub-interest point with an infrastructure element library in the area, if the matching is successful, determining that the closeness of the father-son relationship between the current processing sub-interest point and the father-son relationship of the father-son interest point is strong, and if the matching is failed, determining that the closeness of the father-son relationship between the current processing sub-interest point and the father-son relationship of the father-son interest point is weak.
In step 2120, among the target sub-interest points, a first class of sub-interest points with strong affinity for parent-child relationship is identified.
Step 2130, performing linkage adjustment on the behavior states of the first class sub-interest points according to the behavior state change result of the target interest point.
Step 2140, identify, among the target sub-interest points, a second class of sub-interest points for which the parent-child relationship compactness is weak.
And 2150, performing linkage adjustment on the behavior states of the second class of sub-interest points according to the behavior state change basis of the target interest points.
In an alternative embodiment of the present disclosure, step 2150 may include the step of executing step 2151 if the behavior state of the target point of interest changes according to artificial feedback changes; if the current state of motion change basis is model predictive change, then step 2152 and step 2153 are performed.
And 2151, if it is determined that the current state of the target interest point is changed according to the artificial feedback, adjusting the current state of each second class of sub-interest point to be an outdated state in a linkage manner.
Step 2152, if it is determined that the change basis of the behavior state of the target point of interest is model prediction change, calculating the proportion of the second type of sub-points of interest whose behavior state is an outdated state in all the second type of sub-points of interest.
And 2153, if the specific gravity exceeds a preset threshold, adjusting the behavior state linkage of each second class sub-interest point to be an overdue state.
Fig. 3 is a schematic flow chart of a father-son interest point information linkage adjustment provided by an embodiment of the disclosure, as shown in fig. 3, when detecting that a status state of a father interest point is changed from a normal state to an outdated state (simply referred to as 0 to 1), triggering an operation of recalling all child interest points of the interest point, judging father-son relationship compactness between the interest points, and if the father-son relationship compactness between the father interest point and the child interest point is strong compactness, changing the status state of the child interest point with strong compactness with the father interest point from 0 to 1, wherein the interest point will not appear when searching by a user. Judging the judging type of the behavior state if the father-son relationship compactness between the father-interest point and the son-interest point is weak compactness, changing the behavior state of the son-interest point with weak compactness with the father-interest point from 0 to 1 if the behavior change of the father-interest point is based on manual feedback, further judging whether the proportion of the son-interest point with the behavior state being the outdated state to all the interest points of the father-interest point is more than 50 percent (threshold value) if the behavior change of the father-interest point with weak compactness with the father-interest point is predicted based on the model, changing the behavior state of the son-interest point with weak compactness with the father-interest point from 0 to 1 if the proportion is more than 50 percent, and not changing the behavior state of the son-interest point with weak compactness with the father-interest point if the proportion is not more than 50 percent.
Fig. 4 is a schematic flow chart of another linkage adjustment of father-son interest point information provided by the embodiment of the present disclosure, as shown in fig. 4, when the interest point attribute of the interest point a changes, it is determined whether the name or the behavior state of the interest point a changes, and if it is detected that the name or the behavior state of the interest point a changes, the operation of recalling all the child interest points of the interest point a is triggered. Judging whether the interest point A is the name change or the behavior state change, and if the name of the interest point A is changed, correspondingly modifying the store names and addresses in the names of all the sub-interest points of the interest point A. If the behavior state of the interest point A is changed, the behavior state of the sub-interest point of the interest point A is updated according to the linkage adjustment method of the behavior of the interest point.
According to the technical scheme of the embodiment of the disclosure, the father-son relationship among the interest points is established according to at least one of the interest point address, the longitude and latitude of the interest point and the interest point name of each interest point, so that the interest fixed attribute of the current processing sub-interest point is matched with the infrastructure element library in the area, if the matching is successful, the father-son relationship compactness of the current processing sub-interest point and the father-son relationship compactness of the father-son interest point is determined to be strong compactness, and if the matching is failed, the father-son relationship compactness of the current processing sub-interest point and the father-son interest point is determined to be weak compactness. And in each target sub-interest point, identifying a first class of sub-interest point with strong parent-child relationship compactness, carrying out linkage adjustment on the behavior state of each first class of sub-interest point according to the behavior state change result of the target interest point, identifying a second class of sub-interest point with weak parent-child relationship compactness in each target sub-interest point, carrying out linkage adjustment on the behavior state of each second class of sub-interest point according to the behavior state change basis of the target interest point, carrying out linkage adjustment on the behavior state of each second class of sub-interest point to be an overdue state if the behavior state change basis of the target interest point is changed by manual feedback, calculating the proportion of the second class of sub-interest point with the behavior state being the overdue state in all the second class of sub-interest points if the behavior state change basis of the target interest point is determined to be model prediction change, and carrying out linkage adjustment on the behavior state of each second class of sub-interest point to be the overdue state if the specific gravity of all the second class of sub-interest points exceeds a preset class threshold. Because father-son relationship exists between the target interest point and the target sub-interest point, linkage adjustment is carried out on the behavior states of the target sub-interest points according to the father-son relationship compactness of the target sub-interest points and the target interest point, so that the situation that data cannot be updated timely due to the fact that the behavior states of the target sub-interest points are not adjusted when the behavior states of the target interest points are changed can be avoided, the problem that the data updating cost is high due to the fact that the behavior states of the single target sub-interest points are updated in time can be avoided, the problem that user traveling experience is poor due to the fact that the behavior states of the interest points cannot be updated timely in the prior art is solved, a father-son linkage strategy can be introduced into a behavior change mining scene of the interest points, better traveling experience can be provided for users, and the cost of data updating is greatly reduced.
In an example, fig. 5 is a flowchart of a point of interest active linkage adjustment provided in an embodiment of the present disclosure, where the embodiment may be applicable to a case of information linkage on a road and a location point on the road, the method may be performed by a point of interest active linkage adjustment device, and the device may be implemented by at least one of software and hardware, and may be generally integrated in an electronic device. Accordingly, as shown in fig. 5, the method includes the following operations:
step 310, when detecting that the current state of the target road is changed from the normal state to the outdated state, acquiring the interest points in the road with the binding relation with the target road.
The target road may be any road on which information linkage is required. The interest points in the road can be the interest points in the target road and are in behavior state linkage with the target road.
In the embodiment of the disclosure, the behavior state of the target road can be detected, and when the behavior state of the target road is detected to be changed from the normal state to the outdated state, the interest point in the road with the binding relation with the target road can be further acquired.
Step 320, the behavior state of the interest points in each road is adjusted to be an overdue state in a linkage way.
In the embodiment of the disclosure, the behavior state of the interest point in each road can be associated with the behavior state of the target road, so that the behavior state of the interest point in each road is adjusted to be an outdated state in a linkage manner.
According to the technical scheme, when the situation that the current state of the target road is changed from the normal state to the outdated state is detected, the interest points in the road with the binding relation with the target road are acquired, and then the current state of the interest points in the roads is adjusted to the outdated state in a linkage mode. Because the binding relationship between the target road and the interest points in the road enables the target road to have strong relevance to the interest points in the road, the behavior state of the interest points in each road is adjusted in linkage with the behavior state of the target road, so that the situation that data cannot be updated in time caused by the fact that the interest points in the road are not subjected to behavior state adjustment when the behavior state of the target road is changed can be avoided, the problem that the data updating cost is high when the behavior state of the interest points in a single road is updated is also avoided, the problem that the traveling experience of a user is poor caused by the fact that the behavior state of the interest points in the road cannot be updated in time in the prior art is solved, an information linkage strategy can be introduced into the behavior change mining scene of the interest points in the road, better traveling experience can be provided for users, and the cost of data updating is also greatly reduced.
Fig. 6 is a schematic diagram of a point of interest actionable linkage adjustment mechanism provided in the disclosure, as shown in fig. 6, in which the point of interest actionable linkage adjustment mechanism includes a target sub-point of interest acquisition module 410 and a first linkage adjustment module 420, wherein,
a target sub-interest point obtaining module 410 configured to obtain a target sub-interest point using the target interest point as a parent interest point when detecting that the behavior state of the target interest point is changed;
the first linkage adjustment module 420 is configured to perform linkage adjustment on the behavior state of each target sub-interest point according to the parent-child relationship compactness between each target sub-interest point and the target interest point.
According to the technical scheme, when the situation state change of the target interest point is detected, the target sub-interest point taking the target interest point as the father interest point is obtained, and then linkage adjustment is carried out on the situation state of each target sub-interest point according to the father-son relationship compactness of each target sub-interest point and the target interest point. Because father-son relationship exists between the target interest point and the target sub-interest point, the behavior state of the target sub-interest point is adjusted in a linkage mode according to the father-son relationship compactness of the target sub-interest point and the target interest point, so that the situation that data cannot be updated timely due to the fact that the behavior state of the target sub-interest point is not adjusted when the behavior state of the target interest point is changed can be avoided, the problem that the data updating cost is high due to the fact that the behavior state of a single target sub-interest point is updated is solved, the problem that user traveling experience is poor due to the fact that the behavior state of the interest point cannot be updated timely in the prior art is solved, a father-son linkage strategy can be introduced into a behavior change mining scene of the interest point, better traveling experience can be provided for users, and the cost of data updating is greatly reduced.
Optionally, the first linkage adjustment module 420 is configured to identify, among the target sub-interest points, a first class of sub-interest point in which the closeness of the parent-child relationship is strong; and carrying out linkage adjustment on the behavior states of the first class sub-interest points according to the behavior state change result of the target interest points.
Optionally, the target sub-interest point obtaining module 410 is configured to detect that the current status of the target interest point is changed from the normal status to the outdated status. A first linkage adjustment module 420 configured to identify, among the target sub-interest points, a second class of sub-interest points for which the parent-child relationship compactness is weak; and carrying out linkage adjustment on the behavior state of each second class of sub-interest points according to the behavior state change basis of the target interest points.
Optionally, the first linkage adjustment module 420 is configured to, if it is determined that the current state change of the target interest point is changed according to manual feedback, adjust the current state of each of the second class of sub-interest points to an expired state in a linkage manner.
Optionally, the first linkage adjustment module 420 is configured to calculate a proportion of the second class of sub-interest points with the behavior state being the outdated state in all the second class of sub-interest points if it is determined that the behavior state change basis of the target interest point is model prediction change; and if the specific gravity exceeds a preset threshold value, the state linkage of the behavior of each second class of sub-interest points is adjusted to be an overdue state.
Optionally, the linkage adjustment device of the behavior of the interest points further comprises a compactness establishing module configured to establish a father-son relationship between the interest points according to at least one of the address, longitude and latitude and the name of the interest point; and establishing father-son relationship compactness between each child interest point and the father-son interest point according to the interest point attribute of each child interest point.
Optionally, the compactness establishing module is configured to match the interest point attribute of the current processing sub-interest point with the infrastructure element library in the area; if the matching is successful, determining that the closeness of the father-son relationship between the current processing child interest point and the father interest point is strong closeness; if the matching fails, determining that the closeness of the father-son relationship between the current processing child interest point and the father interest point is weak closeness.
Fig. 7 is a schematic diagram of another point of interest actionable linkage adjustment mechanism provided in the disclosure, as shown in fig. 7, wherein the point of interest actionable linkage adjustment mechanism comprises an in-road point of interest acquisition module 510 and a second linkage adjustment module 520, wherein,
the in-road interest point obtaining module 510 is configured to obtain an in-road interest point having a binding relation with a target road when detecting that the current state of the target road is changed from a normal state to an outdated state;
The second linkage adjustment module 520 is configured to adjust the behavior state of the interest points in each road to an expired state in a linkage manner.
According to the technical scheme, when the situation that the current state of the target road is changed from the normal state to the outdated state is detected, the interest points in the road with the binding relation with the target road are acquired, and then the current state of the interest points in the roads is adjusted to the outdated state in a linkage mode. Because the binding relationship between the target road and the interest points in the road enables the target road to have strong relevance to the interest points in the road, the behavior state of the interest points in each road is adjusted in linkage with the behavior state of the target road, so that the situation that data cannot be updated in time caused by the fact that the interest points in the road are not subjected to behavior state adjustment when the behavior state of the target road is changed can be avoided, the problem that the data updating cost is high when the behavior state of the interest points in a single road is updated is also avoided, the problem that the traveling experience of users is poor due to the fact that the behavior state of the interest points in the road cannot be updated in time in the prior art is solved, a linkage strategy can be introduced into the behavior change mining scene of the interest points in the road, better traveling experience can be provided for users, and the cost of data updating is also greatly reduced.
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a computer-readable storage medium, and a computer program product.
FIG. 8 illustrates a schematic block diagram of an example electronic device that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, desktop computers, workstations, personal digital assistants, servers, mainframes, and other suitable computers. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 8, the electronic device 600 includes at least one processor 601, and a memory, such as a Read Only Memory (ROM) 602, a Random Access Memory (RAM) 603, etc., communicatively connected to the at least one processor 601, in which the memory stores a computer program executable by the at least one processor, and the processor 601 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 602 or the computer program loaded from the storage unit 608 into the Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the electronic device 600 can also be stored. The processor 601, the ROM602, and the RAM 603 are connected to each other through a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
A number of components in the electronic device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, mouse, etc.; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the electronic device 600 to exchange information/data with other devices through a computer network, such as the internet, and/or various telecommunication networks.
The processor 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 601 performs the various methods and processes described above, such as the point of interest actionable linkage adjustment method presented in any of the embodiments. In some embodiments, the presented point of interest actionable linkage adjustment method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into RAM 603 and executed by processor 601, one or more steps of the point of interest gesture linkage adjustment method described above may be performed. Alternatively, in other embodiments, processor 601 may be configured to perform the point of interest actionable linkage adjustment method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on 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.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome. The server may also be a server of a distributed system or a server that incorporates a blockchain.
Artificial intelligence is the discipline of studying the process of making a computer mimic certain mental processes and intelligent behaviors (e.g., learning, reasoning, thinking, planning, etc.) of a person, both hardware-level and software-level techniques. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing, and the like; the artificial intelligent software technology mainly comprises a computer vision technology, a voice recognition technology, a natural language processing technology, a machine learning/deep learning technology, a big data processing technology, a knowledge graph technology and the like.
Cloud computing (cloud computing) refers to a technical system that a shared physical or virtual resource pool which is elastically extensible is accessed through a network, resources can comprise servers, operating systems, networks, software, applications, storage devices and the like, and resources can be deployed and managed in an on-demand and self-service mode. Through cloud computing technology, high-efficiency and powerful data processing capability can be provided for technical application such as artificial intelligence and blockchain, and model training.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel, sequentially, or in a different order, provided that the desired results of the technical solutions provided by the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (9)
1. A linkage adjustment method for the behavior of an interest point comprises the following steps:
establishing father-son relations among all the interest points according to at least one of the interest point addresses, the longitude and latitude of the interest points and the names of the interest points;
matching the interest point attribute of the current processing sub-interest point with an infrastructure element library in the region;
if the matching is successful, determining that the closeness of the father-son relationship between the current processing child interest point and the father interest point is strong closeness;
if the matching fails, determining that the closeness of the father-son relationship between the current processing child interest point and the father interest point is weak closeness;
when detecting that the state of behavior of the target interest point is changed, acquiring a target child interest point taking the target interest point as a father interest point;
the target child interest points comprise places with geographic positions and names in the range of the target interest points serving as father interest points;
According to the father-son relationship compactness of each target sub-interest point and each target interest point, carrying out linkage adjustment on the behavior state of each target sub-interest point;
the father-son relationship compactness is used for reflecting the change frequency degree of the target sub-interest points in the target interest points.
2. The method of claim 1, wherein performing coordinated adjustment of the behavior state of each target sub-interest point according to the parent-child relationship closeness of each target sub-interest point to the target interest point comprises:
identifying a first class of sub-interest points with strong closeness of father-son relationship in each target sub-interest point;
and carrying out linkage adjustment on the behavior states of the first class sub-interest points according to the behavior state change result of the target interest points.
3. The method of claim 2, wherein detecting that the target point of interest is experiencing an actionable state change comprises:
detecting that the current state of the target interest point is changed from a normal state to an overdue state;
according to the closeness of father-son relation between each target sub-interest point and each target interest point, carrying out linkage adjustment on the behavior state of each target sub-interest point, including:
Identifying a second class of sub-interest points with father-son relationship compactness as weak compactness in each target sub-interest point;
and carrying out linkage adjustment on the behavior state of each second class of sub-interest points according to the behavior state change basis of the target interest points.
4. The method of claim 3, wherein performing coordinated adjustment on the behavior states of the second class of sub-interest points according to the behavior state change basis of the target interest point comprises:
and if the state change of the target interest point is determined according to the artificial feedback change, the state linkage of the state of each second class of sub interest point is adjusted to be an overdue state.
5. The method of claim 4, wherein performing coordinated adjustment on the behavior states of the second class of sub-interest points according to the behavior state change basis of the target interest point comprises:
if the change basis of the behavior state of the target interest point is model prediction change, calculating the proportion of the second class of sub-interest points with the behavior state of an overdue state in all the second class of sub-interest points;
and if the specific gravity exceeds a preset threshold value, the state linkage of the behavior of each second class of sub-interest points is adjusted to be an overdue state.
6. A point of interest actionable linkage adjustment apparatus comprising:
the compactness establishing module is configured to establish father-son relations among the interest points according to at least one of the interest point addresses, the longitude and latitude of the interest points and the names of the interest points; matching the interest point attribute of the current processing sub-interest point with an infrastructure element library in the region; if the matching is successful, determining that the closeness of the father-son relationship between the current processing child interest point and the father interest point is strong closeness; if the matching fails, determining that the closeness of the father-son relationship between the current processing child interest point and the father interest point is weak closeness;
the target sub-interest point acquisition module is configured to acquire a target sub-interest point taking the target interest point as a father interest point when detecting that the behavior state of the target interest point is changed;
the target child interest points comprise places with geographic positions and names in the range of the target interest points serving as father interest points;
the first linkage adjustment module is configured to carry out linkage adjustment on the behavior state of each target sub-interest point according to the closeness of the father-son relationship between each target sub-interest point and the target interest point;
The parent-child relationship closeness may be used to reflect the degree of frequency of change of the target child points of interest in the target points of interest.
7. An electronic device, the electronic device comprising:
one or more processors;
a storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of coordinated adjustment of point of interest aggressiveness as claimed in any one of claims 1 to 5.
8. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the coordinated adjustment method of point of interest aggressiveness according to any of claims 1 to 5.
9. A computer program product comprising a computer program which when executed by a processor implements the coordinated adjustment method of point of interest aggressiveness of any of claims 1 to 5.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010277278A (en) * | 2009-05-27 | 2010-12-09 | Pioneer Electronic Corp | Device, method and program for controlling output and recording medium |
| CN104462155A (en) * | 2013-09-25 | 2015-03-25 | 高德软件有限公司 | Point-of-interest set membership establishing method and device |
| CN105740325A (en) * | 2016-01-20 | 2016-07-06 | 国家基础地理信息中心 | Trans-scale geographic information linkage updating technical method based on spatial automatic matching |
| CN108052640A (en) * | 2017-12-21 | 2018-05-18 | 泰康保险集团股份有限公司 | The interlock method and device of status information change |
| CN109582403A (en) * | 2017-09-29 | 2019-04-05 | 北京国双科技有限公司 | Interlocked display method and device between chart inner assembly |
| CN109791547A (en) * | 2016-11-21 | 2019-05-21 | 谷歌有限责任公司 | Electronic map interface |
| CN112052299A (en) * | 2019-06-06 | 2020-12-08 | 腾讯科技（武汉）有限公司 | Method, device, equipment and medium for updating interest points |
| CN112765400A (en) * | 2020-12-31 | 2021-05-07 | 上海众源网络有限公司 | Weight updating method of interest tag, content recommendation method, device and equipment |
| CN113918246A (en) * | 2021-10-27 | 2022-01-11 | Oppo广东移动通信有限公司 | Function control method, function control device, storage medium, and electronic apparatus |
| CN114461658A (en) * | 2022-02-16 | 2022-05-10 | 北京百度网讯科技有限公司 | Name determination method, apparatus, device, program product, and storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120295639A1 (en) * | 2011-05-18 | 2012-11-22 | Microsoft Corporation | Discovering nearby places based on automatic query |
| US20140040761A1 (en) * | 2012-08-03 | 2014-02-06 | Google Inc. | Providing an update associated with a user-created point of interest |
-
2022
- 2022-06-28 CN CN202210751768.7A patent/CN115146156B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010277278A (en) * | 2009-05-27 | 2010-12-09 | Pioneer Electronic Corp | Device, method and program for controlling output and recording medium |
| CN104462155A (en) * | 2013-09-25 | 2015-03-25 | 高德软件有限公司 | Point-of-interest set membership establishing method and device |
| CN105740325A (en) * | 2016-01-20 | 2016-07-06 | 国家基础地理信息中心 | Trans-scale geographic information linkage updating technical method based on spatial automatic matching |
| CN109791547A (en) * | 2016-11-21 | 2019-05-21 | 谷歌有限责任公司 | Electronic map interface |
| CN109582403A (en) * | 2017-09-29 | 2019-04-05 | 北京国双科技有限公司 | Interlocked display method and device between chart inner assembly |
| CN108052640A (en) * | 2017-12-21 | 2018-05-18 | 泰康保险集团股份有限公司 | The interlock method and device of status information change |
| CN112052299A (en) * | 2019-06-06 | 2020-12-08 | 腾讯科技（武汉）有限公司 | Method, device, equipment and medium for updating interest points |
| CN112765400A (en) * | 2020-12-31 | 2021-05-07 | 上海众源网络有限公司 | Weight updating method of interest tag, content recommendation method, device and equipment |
| CN113918246A (en) * | 2021-10-27 | 2022-01-11 | Oppo广东移动通信有限公司 | Function control method, function control device, storage medium, and electronic apparatus |
| CN114461658A (en) * | 2022-02-16 | 2022-05-10 | 北京百度网讯科技有限公司 | Name determination method, apparatus, device, program product, and storage medium |
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