CN111754105A - Resource processing method, device, server and computer readable storage medium - Google Patents

Resource processing method, device, server and computer readable storage medium Download PDF

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CN111754105A
CN111754105A CN202010576208.3A CN202010576208A CN111754105A CN 111754105 A CN111754105 A CN 111754105A CN 202010576208 A CN202010576208 A CN 202010576208A CN 111754105 A CN111754105 A CN 111754105A
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resource
value
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龚鑫
肖茜
杨婷婷
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Beijing Kuxun Technology Co Ltd
Beijing Sankuai Online Technology Co Ltd
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants

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Abstract

The application discloses a resource processing method, a resource processing device, a server and a computer readable storage medium, and belongs to the technical field of internet. The method comprises the following steps: acquiring a first adjustment reference index of a first object to be processed in a target time period, wherein the first adjustment reference index comprises a first sales increase value and a first traffic ranking; acquiring a second adjustment reference index of a second object matched with the first object in the target time period, wherein the second adjustment reference index comprises a second sales increase value; determining an object type of the first object based on the first adjustment reference index and the second adjustment reference index; determining a resource processing mode of the first object according to the object type of the first object; and processing the resources of the first object according to the resources of the first object, the resources of the second object and the resource processing mode. The resource processing method enables the resource processing process of the first object to be more flexible, and therefore the accuracy and the reliability of the resource processing of the first object are improved.

Description

Resource processing method, device, server and computer readable storage medium
Technical Field
The embodiment of the application relates to the technical field of internet, in particular to a resource processing method, a resource processing device, a server and a computer readable storage medium.
Background
Tourism is the sum of all relationships and phenomena that occur during non-stationary travel and touring when people seek a mental pleasure experience. With the improvement of the quality of life of people, traveling has become a mode for people to leave on vacation, but most people determine a hotel before traveling, and when selecting the hotel, people give priority to hotel resources such as hotel price. Therefore, a resource processing method for a hotel is needed to make processing of hotel resources more flexible, and the resource processing process better meets the processing requirements of the hotel, so that the accuracy and reliability of resource processing are improved.
Disclosure of Invention
The embodiment of the application provides a resource processing method, a resource processing device, a server and a computer readable storage medium, which can be used for solving the problems in the related art. The technical scheme is as follows:
in one aspect, an embodiment of the present application provides a resource processing method, where the method includes:
acquiring a first adjustment reference index of a first object to be processed in a target time period, wherein the first adjustment reference index comprises a first sales increase value and a first traffic ranking;
acquiring a second adjustment reference index of a second object matched with the first object in the target time period, wherein the second adjustment reference index comprises a second sales increase value;
determining an object type of the first object based on the first adjustment reference index and the second adjustment reference index;
determining a resource processing mode of the first object according to the object type of the first object;
and processing the resource of the first object according to the resource of the first object, the resource of the second object and the resource processing mode.
In a possible implementation manner, the determining the object type of the first object based on the first adjustment reference indicator and the second adjustment reference indicator includes:
in response to the first sales increase value being lower than the second sales increase value, the first traffic ranking being higher than a target traffic ranking, determining the object type of the first object to be a first type;
in response to the first sales increase value being lower than the second sales increase value, the first traffic ranking being lower than the target traffic ranking, determining the object type of the first object to be a second type;
in response to the first sales increase value being higher than the second sales increase value, the first traffic ranking being lower than the target traffic ranking, determining the object type of the first object to be a third type;
in response to the first sales increase value being greater than the second sales increase value, the first traffic ranking being greater than the target traffic ranking, determining the object type of the first object to be a fourth type.
In a possible implementation manner, the resource processing manner includes a resource increasing manner and a resource decreasing manner;
the determining the resource processing mode of the first object according to the object type of the first object comprises:
determining that the resource processing mode of the first object is a resource improving mode in response to the object type of the first object being a fourth type;
and determining that the resource processing mode of the first object is a resource reduction mode in response to the object type of the first object being a non-fourth type.
In one possible implementation, the first object and the second object each include a plurality of sub-objects;
the processing the resource of the first object according to the resource of the first object, the resource of the second object and the resource processing mode comprises:
determining a first sub-object in the first object based on the resource processing mode;
determining a second sub-object matching the first sub-object in the second object;
and processing the resources of the first sub-object based on the resources of the first sub-object, the resources of the second sub-object and the resource processing mode.
In a possible implementation manner, the processing the resource of the first sub-object based on the resource of the first sub-object, the resource of the second sub-object, and the resource processing manner includes:
in response to the object type of the first sub-object being a fourth type, adjusting the resource value of the first sub-object to a first target value, the first target value being a maximum value of a resource increasing proportion value of the first sub-object and a resource discount value of the first sub-object, the resource increasing proportion value of the first sub-object being a product of the resource value of the first sub-object and the increasing proportion of the second sub-object, the resource discount value of the first sub-object being a product of the resource value of the first sub-object and a limit discount of the first sub-object;
in response to the object type of the first sub-object being a non-fourth type, adjusting the resource value of the first sub-object to a second target value, the second target value being a minimum value of a resource reduction ratio value of the first sub-object multiplied by a reduction ratio of the resource value of the first sub-object multiplied by a restriction discount of the second sub-object, and a resource discount value of the first sub-object multiplied by a restriction discount of the first sub-object.
In a possible implementation manner, after determining, in the second object, a second sub-object that matches the first sub-object, the method further includes:
determining a priority of the first sub-object;
the processing the resource of the first sub-object based on the resource of the first sub-object, the resource of the second sub-object and the resource processing mode comprises:
and processing the resources of the first sub-object based on the resources of the first sub-object, the priority of the first sub-object, the resources of the second sub-object and the resource processing mode.
In another aspect, an embodiment of the present application provides a resource processing apparatus, where the apparatus includes:
the first acquisition module is used for acquiring a first adjustment reference index of a first object to be processed in a target time period, wherein the first adjustment reference index comprises a first sales increase value and a first traffic ranking;
a second obtaining module, configured to obtain a second adjustment reference indicator of a second object matching the first object in the target time period, where the second adjustment reference indicator includes a second sales increase value;
a first determining module, configured to determine an object type of the first object based on the first adjustment reference indicator and the second adjustment reference indicator;
the second determining module is used for determining the resource processing mode of the first object according to the object type of the first object;
and the processing module is used for processing the resource of the first object according to the resource of the first object, the resource of the second object and the resource processing mode.
In one possible implementation, the first determining module is configured to determine that the object type of the first object is a first type in response to the first sales volume increase value being lower than the second sales volume increase value and the first traffic volume ranking being higher than a target traffic volume ranking;
in response to the first sales increase value being lower than the second sales increase value, the first traffic ranking being lower than the target traffic ranking, determining the object type of the first object to be a second type;
in response to the first sales increase value being higher than the second sales increase value, the first traffic ranking being lower than the target traffic ranking, determining the object type of the first object to be a third type;
in response to the first sales increase value being greater than the second sales increase value, the first traffic ranking being greater than the target traffic ranking, determining the object type of the first object to be a fourth type.
In a possible implementation manner, the resource processing manner includes a resource increasing manner and a resource decreasing manner;
the second determining module is configured to determine, in response to that the object type of the first object is a fourth type, that the resource processing mode of the first object is a resource improving mode;
and determining that the resource processing mode of the first object is a resource reduction mode in response to the object type of the first object being a non-fourth type.
In one possible implementation, the first object and the second object each include a plurality of sub-objects;
the processing module is used for determining a first sub-object in the first object based on the resource processing mode;
determining a second sub-object matching the first sub-object in the second object;
and processing the resources of the first sub-object based on the resources of the first sub-object, the resources of the second sub-object and the resource processing mode.
In a possible implementation manner, the processing module is configured to adjust the resource value of the first sub-object to a first target value in response to that the object type of the first sub-object is a fourth type, where the first target value is a maximum value of a resource improvement ratio of the first sub-object and a resource discount value of the first sub-object, the resource improvement ratio of the first sub-object is a product of the resource value of the first sub-object and an improvement ratio of the second sub-object, and the resource discount value of the first sub-object is a product of the resource value of the first sub-object and a limitation discount of the first sub-object;
in response to the object type of the first sub-object being a non-fourth type, adjusting the resource value of the first sub-object to a second target value, the second target value being a minimum value of a resource reduction ratio value of the first sub-object multiplied by a reduction ratio of the resource value of the first sub-object multiplied by a restriction discount of the second sub-object, and a resource discount value of the first sub-object multiplied by a restriction discount of the first sub-object.
In a possible implementation manner, the processing module is further configured to determine a priority of the first sub-object;
and processing the resources of the first sub-object based on the resources of the first sub-object, the priority of the first sub-object, the resources of the second sub-object and the resource processing mode.
In another aspect, a server is provided, which includes a processor and a memory, where at least one program code is stored in the memory, and the at least one program code is loaded and executed by the processor to implement any of the above resource processing methods.
In another aspect, a computer-readable storage medium is provided, in which at least one program code is stored, and the at least one program code is loaded and executed by a processor to implement any of the above-mentioned resource processing methods.
The technical scheme provided by the embodiment of the application at least has the following beneficial effects:
according to the technical scheme, the object type of the first object is determined based on the first adjustment reference index of the first object and the second adjustment reference index of the second object, and the difference between the first object and the second object is considered, so that the object type of the first object can be determined more accurately. And determining the resource processing mode of the first object according to the object type of the first object so as to process the resource of the first object, wherein the resource processing mode determined in the process better meets the resource processing requirement of the first object, so that the resource processing process of the first object is more flexible, and the accuracy and the reliability of the resource processing of the first object are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a resource processing method provided in an embodiment of the present application;
FIG. 2 is a flow chart of determining a second object provided by an embodiment of the present application;
FIG. 3 is a schematic diagram of a process for determining a type of a first object according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a resource processing apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a server according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The embodiment of the application provides a resource processing method which can be applied to a server. The server may be one server or a server cluster composed of a plurality of servers. The server may be at least one of a cloud computing platform and a virtualization center, which is not limited in this embodiment of the present application. The method comprises the steps that a server obtains a first adjustment parameter index of a first object to be processed in a target time period, obtains a second adjustment parameter index of a second object matched with the first object in the target time period, and determines the object type of the first object according to the first adjustment parameter index and the second adjustment parameter index; determining a resource processing mode of the first object based on the object type of the first object; and processing the resources of the first object based on the resources of the first object, the resources of the second object and the resource processing mode. Of course, the server may also include other functional servers to provide more comprehensive and diversified services.
Based on the foregoing implementation environment, an embodiment of the present application provides a resource processing method, which may be executed by a server, taking a flowchart of the resource processing method provided in the embodiment of the present application shown in fig. 1 as an example. As shown in fig. 1, the method comprises the steps of:
in step 101, a first adjustment reference index of a first object to be processed in a target time period is obtained, wherein the first adjustment parameter index includes a first sales increase value and a first traffic rank.
Wherein the first sales increase value is a magnitude of increase of the sales of the first object in the target time period compared with the sales of the previous time period adjacent to the target time period; the first traffic ranking is based on the traffic of the first object in the target time period, such as the search volume, the browsing volume, the click volume and the like, and the ranking is obtained to obtain the ranking of the first object in the target time period.
In one possible implementation manner, the storage space of the server stores the sales volume and the flow volume of a plurality of objects in each time period, wherein the plurality of objects comprise the first object. Therefore, the server acquires the sales volume and the flow volume of the first object in each time period from the storage space of the server.
In a possible implementation manner, after acquiring the sales volume and the flow volume of the first object in each time period, the server calculates a first sales volume increase value of the first object in the target time period based on the sales volume of the target time period and the sales volume of the last time period adjacent to the target time period. And ranking based on the flow of the first object in the target time period to obtain the first flow ranking of the first object.
Illustratively, the first object sells 100 during a first time period and sells 125 during a second time period, which is a time period adjacent to and subsequent to the first time period. Taking the second time segment as a target time segment, calculating the first sales increase value of the second time segment of the first object as (125- & lt 100 >)/100-25%. The traffic of the first object in the second time period is 1300, and the traffic of all the objects in the server is ranked, so that the first traffic ranking of the first object is 20.
In step 102, a second adjusted reference index for a second object matching the first object over the target time period is obtained, the second adjusted reference index including a second sales increase value.
In a possible implementation manner, before obtaining the second adjustment reference index of the second object matching the first object in the target time period, the second object matching the first object needs to be determined, and the determination process of the second object is as follows in steps 1 to 3.
Step 1, acquiring a plurality of candidate objects matched with a first object based on POI (Point of Information) of the first object.
In one possible implementation, the POI of the first object includes, but is not limited to, a name of the first object, a category of the first object, a longitude of the first object, and a latitude of the first object. Taking the first object as a hotel as an example, the POI of the first object includes a name of the hotel, a category of the hotel, a longitude of the hotel, and a latitude of the hotel. The category of the hotel is the star level of the hotel, such as five-star level, four-star level and the like.
In one possible implementation, obtaining a plurality of candidate objects matched with the first object according to the POI of the first object includes: and acquiring a first candidate object with a distance from the first object meeting a distance condition and a second candidate object with a traffic flow direction relation with the first object according to the POI of the first object, and taking the first candidate object and the second candidate object as a plurality of candidate objects matched with the first object.
The process of acquiring a first candidate object with a distance from the first object satisfying a distance condition according to the POI of the first object is as follows: acquiring longitude and latitude of the first object according to the POI of the first object; geographic location data of the first object is determined based on the longitude and latitude of the first object. All objects included within a target distance range centered on the geographic position data of the first object are determined as first candidate objects whose distances from the first object satisfy a distance condition.
Exemplarily, taking the first object as a hotel, geographic location data of the first object is determined according to the longitude and latitude of the first object, and all hotels within a range of 5 kilometers around the geographic location data where the first object is located are determined as first candidate objects. It should be noted that, in the embodiment of the present application, only the target distance is 5 km for example, and the length of the target distance is not limited, and the target distance may be longer or shorter, which is not limited in the embodiment of the present application.
The process of obtaining a second candidate object having a traffic flow relationship with the first object is as follows: the server tracks the target user browsing the first object, determines an object determined by the target user after browsing the first object, and determines the determined object as a second candidate object. Illustratively, the first object is a hotel X, the target user does not place an order at the hotel X after browsing the hotel X, but places an order at the hotel Y, and the hotel Y is taken as an object determined by the target user after browsing the first object, that is, the hotel Y is a second candidate object having a traffic flow relationship with the first object.
And 2, calculating the benchmarking coefficients of the candidate objects based on the indexes of the candidate objects.
In one possible implementation, based on the indexes of the multiple candidate objects, the process of calculating the index coefficients of the multiple candidate objects is as follows:
and weighting the indexes of any candidate object in the plurality of candidate objects, and taking the weighting result as the scaling coefficient of any candidate object.
In one possible implementation, the metrics of the candidate include, but are not limited to, attrition of the candidate over the target time period, a business turn in which the candidate is located, an average price of the candidate, a user rating of the candidate, a sales volume of the candidate over the target time period, a star rating of the candidate, and the like. The quotient circle of the candidate object is determined according to the geographical position of the longitude and the latitude of the candidate object, and the closer the geographical position of the longitude and the latitude of the candidate object is to the geographical position of the first object, the higher the value corresponding to the quotient circle of the candidate object is. For another example, the closer the average price of the candidate object is to the average price of the first object, the higher the value corresponding to the average price of the candidate object.
In a possible implementation manner, different weights are allocated to the indexes of the listed candidate objects, a weighting calculation is performed according to the weight of each index to obtain a weighting result of the weighting calculation, and the weighting result is determined as a benchmarking coefficient of the candidate object. Wherein, the index of the candidate object can be weighted and calculated according to the following formula (1):
S1＝A*A1+B*B1+C*C1+D*D1+E*E1+F*F1(1)
in the above formula (1), S1A weighting result of the weighting calculation for the first candidate object, A being a value corresponding to the attrition of the first candidate object in the target time period, A1Weighting the loss degree of the candidate object in the target time period; b is the value corresponding to the quotient circle where the first candidate object is located, B1The weight of the business circle where the candidate object is located; c is the value corresponding to the average price of the first candidate object, C1A weight that is an average price of the candidate; d value corresponding to the user score of the first candidate object, D1Weights scored for users of the candidate objects; e is a value corresponding to the sales of the first candidate object in the target time period, E1Weighting the sales of the candidate object in the target time period; f is the value corresponding to the star of the first candidate, F1Is the weight of the star of the candidate.
When the candidate object has other indexes, it is necessary to assign a weight to the other indexes, and the rule of assigning weights is such that the weights of all indexes are added to 1.
Illustratively, the scaling factor of the first candidate object is calculated by taking the weight of the attrition of the candidate object in the target time period as 0.1, the weight of the business circle where the candidate object is located as 0.2, the weight of the average price of the candidate object as 0.3, the weight of the user score of the candidate object as 0.1, the weight of the sales of the candidate object in the target time period as 0.1, and the weight of the star of the candidate object as 0.2. The loss degree of the first candidate object in the target time period corresponds to a value of 0.90, the quotient circle where the first candidate object is located corresponds to a value of 3, the average price of the first candidate object corresponds to a value of 200, the user score of the first candidate object corresponds to a value of 4, the sales volume of the first candidate object in the target time period corresponds to a value of 1200, and the star rating of the first candidate object corresponds to a value of 3. Adding the first candidate object according to the above formula (1)Weight calculation, S10.90 × 0.1+3 × 0.2+200 × 0.3+4 × 0.1+1200 × 0.1+3 × 0.2 ═ 181.69, the weighting result of the first candidate object is obtained as 181.69, and the weighting result of the first candidate object is used as the scaling coefficient of the first candidate object.
It should be further noted that, the above-mentioned process of performing weighting calculation only on the index of the first candidate object to obtain a weighting result, and using the weighting result as a scaling coefficient is performed, and the determination process of the scaling coefficients of other candidate objects is consistent with that of the first candidate object, and is not described herein again.
And 3, determining the candidate object with the benchmarking coefficient meeting the benchmarking threshold value as a second object matched with the first object.
In a possible implementation manner, based on the scaling coefficients of the candidate objects obtained in step 2, the process of determining the second object in the plurality of candidate objects is as follows:
determining the star level of the candidate object, determining the candidate object with the star level exceeding the target star level (such as four stars and five stars) as a high star candidate object, and determining the candidate object with the star level less than or equal to the target star level (one star, two stars and three stars) as a non-high star candidate object. The second object may be determined among a plurality of candidate objects using the following implementation.
In one possible implementation manner, a candidate object with a benchmarking coefficient reaching a first target threshold is determined to be a second object in the high-star candidate objects; determining a candidate object of which the benchmarking coefficient reaches a second target threshold value in the non-high star candidate objects as a second object in the non-high star candidate objects; unifying a second object of the high star candidates and a second object of the non-high star candidates as a second object matching the first object.
In a possible implementation manner, in addition to the determination of the second object based on the threshold value, the candidate object arranged before the target position may be determined as the second object based on the ranking of the scaling coefficients of the plurality of candidate objects. The process is as follows:
the high-star candidate objects and the non-high-star candidate objects are respectively sorted according to the scaling coefficients, the scaling coefficients can be sorted from high to low, and the scaling coefficients can also be sorted from low to high, which is not limited in the embodiment of the present application. And determining the candidate object arranged in front of the target position as a second object according to the sorting results of the high star candidate object and the non-high star candidate object.
Fig. 2 is a flowchart for determining a second object according to an embodiment of the present application, where in fig. 2, a first candidate object and a second candidate object are determined based on a POI of a first object, and the first candidate object and the second candidate object are determined as candidate objects, and the process is consistent with step 1, which is not repeated herein. And calculating the scaling coefficient of each candidate object, and determining the candidate object with the scaling coefficient meeting the scaling threshold as the second object, wherein the process is consistent with the steps 2 and 3, and is not repeated herein.
In one possible implementation, a second object matching the first object is determined, in which a second adjusted reference indicator at the target time period is determined, the second adjusted reference indicator comprising a second sales increase value. Wherein the second sales increase value is a magnitude of increase of the sales of the second object in the target time period compared to the sales of the previous time period adjacent to the target time period. The process of determining the second sales volume increase of the second object is consistent with the process of determining the first sales volume increase of the first object in step 101, and is not described herein again.
In step 103, an object type of the first object is determined based on the first adjustment reference index and the second adjustment reference index.
In one possible implementation manner, determining the object type of the first object based on the first adjustment reference index determined in the above step 101 and the second adjustment reference index determined in the above step 102 includes the following four cases.
In response to the first sales increase value being lower than the second sales increase value and the first traffic ranking being higher than the target traffic ranking, the object type of the first object is determined to be the first type.
In a possible implementation manner, the flow rates of all the objects in the target time period may be sorted in a sequence from low to high, or sorted in a sequence from high to low, which is not limited in the embodiment of the present application. And according to the sequencing result, determining the object arranged in front of the target position as the object with the traffic ranking higher than the target traffic ranking, and determining the object arranged behind the target position as the object with the traffic ranking lower than the target traffic ranking. For example, if the target traffic rank is 25 and the first traffic rank is 20, the traffic rank of the first object is determined to be higher than the target traffic rank.
Illustratively, the first object is determined to be of the first type if the first sales increase value is 25%, the first traffic rank is 20, the second sales increase value is 30, and the target traffic rank is 25, since the first sales increase value is lower than the second sales increase value, and the first traffic rank is higher than the target traffic rank.
And in response to the first sales increase value being lower than the second sales increase value and the first traffic ranking being lower than the target traffic ranking, determining the object type of the first object as the second type.
Illustratively, the first object is determined to be of the second type if the first sales increase value is 25%, the first traffic rank is 20, the second sales increase value is 30, and the target traffic rank is 15, since the first sales increase value is lower than the second sales increase value, and the first traffic rank is lower than the target traffic rank.
And in response to the first sales increase value being higher than the second sales increase value and the first traffic ranking being lower than the target traffic ranking, determining that the object type of the first object is the third type.
Illustratively, the first object is determined to be of the third type if the first sales increase value is 25%, the first traffic rank is 20, the second sales increase value is 20, and the target traffic rank is 15, and the first traffic rank is lower than the target traffic rank because the first sales increase value is higher than the second sales increase value.
And in response to the first sales increase value being higher than the second sales increase value and the first traffic ranking being higher than the target traffic ranking, determining that the object type of the first object is the fourth type.
Illustratively, the first object is determined to be of the fourth type if the first sales increase value is 25%, the first traffic rank is 20, the second sales increase value is 20, and the target traffic rank is 25, and the first traffic rank is higher than the target traffic rank because the first sales increase value is higher than the second sales increase value.
Fig. 3 is a schematic diagram illustrating a process for determining an object type of a first object according to an embodiment of the present application, in fig. 3, a first traffic ranking is higher than a target traffic ranking, and the object type of the first object is determined to be a first type. And determining that the object type of the first object is the second type by setting the first sales increase value to be lower than the second sales increase value and setting the first traffic ranking to be lower than the target traffic ranking. And determining the object type of the first object as a third type by enabling the first sales increase value to be higher than the second sales increase value and enabling the first traffic ranking to be lower than the target traffic ranking. And determining the object type of the first object as a fourth type by enabling the first sales increase value to be higher than the second sales increase value and enabling the first traffic ranking to be higher than the target traffic ranking.
It should be noted that the first sales increase value, the first traffic ranking, the second sales increase value, and the target traffic ranking are all exemplified, and in actual application, the first sales increase value and the first traffic ranking are determined based on the actual sales and the traffic of the first object, the second sales increase value is determined based on the actual sales of the second object, and the target traffic ranking is determined based on the traffic ranking of all the objects.
In step 104, a resource handling mode of the first object is determined according to the object type of the first object.
In one possible implementation, the resource processing mode includes a resource increasing mode and a resource decreasing mode. Determining the resource handling manner of the first object based on the object type of the first object includes the following two cases.
In case one, in response to the object type of the first object being the fourth type, determining the resource processing mode of the first object as the resource improving mode.
In one possible implementation, if the first sales increase value of the first object is higher than the second sales increase value, and the first traffic rank of the first object is higher than the target traffic rank, it indicates that the first object has neither a shortage of sales nor a shortage of traffic, and the first object may increase resources appropriately.
And in the second situation, in response to the object type of the first object being not the fourth type, determining the resource processing mode of the first object to be a resource reduction mode.
In one possible implementation, if the first sales increase value of the first object is lower than the second sales increase value, and the first traffic rank is higher than the target traffic rank, the first object is lack of sales, but the first object is not lack of traffic, so that resources need to be reduced appropriately to make the first sales increase value higher than the second sales increase value.
If the first sales increase value of the first object is lower than the second sales increase value, and the first traffic rank is lower than the target traffic rank, it indicates that the first object is short of both sales and traffic, and therefore resources need to be reduced appropriately to increase both sales and traffic of the first object.
If the first sales increase value of the first object is higher than the second sales increase value, the first traffic rank is lower than the target traffic rank, which indicates that the first object does not lack the sales, but lacks the traffic, and therefore, the resources need to be properly reduced so as to increase the traffic of the first object.
In step 105, the resource of the first object is processed according to the resource of the first object, the resource of the second object, and the resource processing method.
In a possible implementation manner, since the first object and the second object each include a plurality of sub-objects, the process of processing the resource of the first object according to the resource of the first object, the resource of the second object, and the resource processing manner includes the following steps 1051 to 1053.
Step 1051, determining a first sub-object in the first object based on the resource processing mode.
In a possible implementation manner, based on the object type of the first object determined in step 103 and the resource processing manner of the first object determined in step 104, a first sub-object that needs to be resource processed is determined in the first phase in a targeted manner, and the determination process of the first sub-object is as follows:
if the object type of the first object is the first type, the highlight sub-object in the first object is taken as the first sub-object, and the highlight sub-object is a sub-object with the highest resource in the first object, for example, a highlight house type in the target hotel. The resource of the key sub-object is adjusted, so that the competitiveness of the first object can be improved, and the sales volume of the first object can be improved.
If the object type of the first object is the second type, the key point sub-object in the first object is used as the first sub-object, for example, the key point house type in the target hotel. The resource of the key sub-object is adjusted, so that the competitiveness of the first object can be improved.
If the object type of the first object is a third type, a focus sub-object and a drainage sub-object in the first object are used as the first sub-object, and the drainage sub-object is a sub-object with the lowest resource in the first object, for example, a drainage house type in a target hotel. The resources of the focus sub-object and the drainage sub-object are adjusted, so that the competitiveness of the first object can be increased while the flow of the first object is improved.
If the object type of the first object is the fourth type, the drainage sub-object in the first object is taken as the first sub-object, for example, the drainage house type in the target hotel. The resources of the sub-object are adjusted, so that the flow of the first object can be improved, and the competitiveness of the first object is improved.
Step 1052, determining a second sub-object matching the first sub-object in the second object.
In one possible implementation, there may be the following steps 1 to 3 to determine a second sub-object matching the first sub-object in the second object.
Step 1, determining a second sub-object which is completely matched with the TDC of the first sub-object in the second object based on a TDC (Travel data Center) matching tool.
In one possible implementation, the matching coefficient between the second sub-object and the first sub-object is calculated based on a TDC matching tool. If the number of the second sub-objects with the matching coefficient of 1 is one, the second sub-object with the matching coefficient of 1 is determined as the second sub-object which is completely matched with the first sub-object TDC. And if the number of the second sub-objects with the matching coefficient of 1 is multiple, determining the second sub-object with the minimum resource difference value with the first sub-object in the second sub-objects with the matching coefficients of 1 as the second sub-object matched with the TDC of the first sub-object.
For example, if the first sub-object is the important sub-object, a second sub-object having a matching coefficient of 1 with the important sub-object is determined among the second objects, and the second sub-object is set as a second sub-object that completely matches the important sub-object TDC.
And 2, if the second sub-object which is completely matched with the TDC of the first sub-object is not determined, determining the second sub-object which is matched with the ETL of the first sub-object based on the Extract-Transform-Load (Extract-Transform-Load) matching (namely house type physical attribute fuzzy matching).
In one possible implementation, the ETL matching is based on physical conditions such as bed type, whether a room has a single guard, whether a room has a window, and the difference in room area is within 10 square meters. If there is one second sub-object with completely consistent physical conditions, the second sub-object with completely consistent physical conditions is used as the second sub-object matched with the first sub-object ETL. And if a plurality of second sub-objects with completely consistent physical conditions exist, determining a second sub-object with the minimum resource difference value with the first sub-object in the plurality of second sub-objects with completely consistent physical conditions as a second sub-object matched with the first sub-object.
For example, the first sub-object is taken as an example of the key sub-object, and based on the physical room type of the key sub-object, a second sub-object that completely matches the physical condition of the key sub-object is determined in the second object, and the second sub-object is determined as the second sub-object that matches the key sub-object ETL.
And 3, if the second sub-object matched with the first sub-object ETL is not determined, determining the second sub-object incompletely matched with the first sub-object TDC based on a TDC matching tool.
In one possible implementation, the matching coefficient between the second sub-object and the first sub-object is calculated based on a TDC matching tool. If a second sub-object with a matching coefficient between 0.5 and 1 exists, the matching coefficient is between 0.5 and 1, and the second sub-object with the largest matching coefficient is determined as the second sub-object which does not completely match the TDC of the first sub-object.
For example, taking the first sub-object as the important sub-object as an example, the second sub-object with the matching coefficient between 0.5 and 1 with the important sub-object is determined in the second object, and the second sub-object with the highest matching coefficient in the determined second sub-objects is taken as the second sub-object that is not completely matched with the TDC of the important sub-object.
In a possible implementation manner, after determining a second sub-object in the second object, which matches the first sub-object of the first object, the priority of the first sub-object needs to be determined, where the determination process of the priority of the first sub-object is as follows:
in one possible implementation, if the second sub-object matched with the first sub-object is a second sub-object determined based on TDC full matching, determining the priority of the first sub-object as a first priority; if the second sub-object matched with the first sub-object is determined based on ETL matching, determining the priority of the first sub-object as a second priority; and if the second sub-object matched with the first sub-object is determined to be the second sub-object based on the TDC incomplete matching, determining the priority of the first sub-object as a third priority.
And 1053, processing the resources of the first sub-object based on the resources of the first sub-object, the resources of the second sub-object and the resource processing mode.
In a possible implementation manner, the resources of the first sub-object in the first object are sequentially processed according to the priority from high to low based on the resources of the first sub-object, the resources of the second sub-object, the resource processing manner, and the priority of the first sub-object.
In a possible implementation manner, since the resource processing manner includes a manner of increasing resources and a manner of decreasing resources, the following two cases are included in the processing of the resources of the first sub-object based on the resources of the first sub-object, the resources of the second sub-object, and the resource processing manner:
in case one, in response to that the object type of the first sub-object is the fourth type, the resource value of the first sub-object is adjusted to a first target value, where the first target value is a maximum value of the resource increasing ratio value of the first sub-object and the resource discount value of the first sub-object.
The resource increasing proportion value of the first sub-object is the product of the resource value of the first sub-object and the increasing proportion of the second sub-object, and the resource discount value of the first sub-object is the product of the resource value of the first sub-object and the limit discount of the first sub-object. The increasing proportion of the second sub-object is the amplitude of the resource increase of the second sub-object in the target time period.
Illustratively, the resource value of the first sub-object is 150, the constraint discount of the first sub-object is 1.2, the resource value of the second sub-object in the target time period is increased from 160 to 190, the increase ratio of the second sub-object is calculated to be 190/160 ═ 1.1875, the resource increase ratio value of the first sub-object is calculated to be 150 × 1.1875 ═ 178.125, the resource discount value of the first sub-object is calculated to be 150 × 1.2 ═ 180, and since 180 is greater than 178.125, the resource discount value of the first sub-object is taken as the first target value, and the resource value of the first sub-object is adjusted to be 180.
And in the second case, in response to the object type of the first sub-object being a non-fourth type, adjusting the resource value of the first sub-object to a second target value, wherein the second target value is the minimum value of the resource reduction proportion value of the first sub-object and the resource discount value of the first sub-object.
The resource reduction ratio value of the first sub-object is the product of the resource value of the first sub-object and the reduction ratio of the second sub-object, and the resource discount value of the first sub-object is the product of the resource value of the first sub-object and the limit discount of the first object. The reduction ratio of the second sub-object is the amplitude of resource reduction of the second sub-object in the target time period.
Illustratively, the resource value of the first sub-object is 200, the constraint discount of the first sub-object is 0.8, the resource value of the second sub-object is decreased from 180 to 150 within one month, the decrease rate of the second sub-object is calculated to be 150/180 ═ 0.83, the decrease rate of the resource of the first sub-object is calculated to be 200 × -0.83 ═ 166, the resource discount value of the first sub-object is calculated to be 200 × -0.8 ═ 160, and since 166 is greater than 160, the resource discount value of the first sub-object is taken as the second target value, and the resource value of the first sub-object is adjusted to be 160.
In one possible implementation manner, in order to make the resource processing procedure of the first sub-object more clear, the resource processing manner is arranged in the form of the following table one.
Watch 1
Figure BDA0002551417950000161
In the first table, the resource of the first sub-object in the first object is processed based on the resource of the first sub-object, the resource of the second sub-object, the resource processing method, and the priority of the first sub-object.
The method determines the object type of the first object based on the first adjustment reference index of the first object and the second adjustment reference index of the second object, and can make the determination of the object type of the first object more accurate because the difference between the first object and the second object is considered. And determining the resource processing mode of the first object according to the object type of the first object so as to process the resource of the first object, wherein the resource processing mode determined in the process better meets the resource processing requirement of the first object, so that the resource processing process of the first object is more flexible, and the accuracy and the reliability of the resource processing of the first object are improved.
Fig. 4 is a structural diagram of a resource processing apparatus according to an embodiment of the present application, and as shown in fig. 4, the apparatus includes:
a first obtaining module 401, configured to obtain a first adjustment reference index of a first object to be processed in a target time period, where the first adjustment reference index includes a first sales increase value and a first traffic rank;
a second obtaining module 402, configured to obtain a second adjustment reference index of a second object matching the first object in the target time period, where the second adjustment reference index includes a second sales increase value;
a first determining module 403, configured to determine an object type of the first object based on the first adjustment reference indicator and the second adjustment reference indicator;
a second determining module 404, configured to determine a resource processing manner of the first object according to the object type of the first object;
the processing module 405 processes the resource of the first object according to the resource of the first object, the resource of the second object, and the resource processing method.
In a possible implementation, the first determining module 403 is configured to determine that the object type of the first object is a first type in response to the first sales volume increase value being lower than the second sales volume increase value and the first traffic volume ranking being higher than the target traffic volume ranking;
in response to the first sales increase value being lower than the second sales increase value, the first traffic ranking being lower than the target traffic ranking, determining the object type of the first object to be a second type;
in response to the first sales increase value being higher than the second sales increase value, the first traffic ranking being lower than the target traffic ranking, determining the object type of the first object to be a third type;
in response to the first sales increase value being greater than the second sales increase value, the first traffic ranking being greater than the target traffic ranking, determining the object type of the first object to be a fourth type.
In a possible implementation manner, the resource processing manner includes a resource increasing manner and a resource decreasing manner;
the second determining module 404 is configured to determine, in response to that the object type of the first object is a fourth type, that the resource processing manner of the first object is a resource improving manner;
and determining that the resource processing mode of the first object is a resource reduction mode in response to the object type of the first object being a non-fourth type.
In one possible implementation, the first object and the second object each include a plurality of sub-objects;
the processing module 405 is configured to determine a first sub-object in the first object based on the resource processing manner;
determining a second sub-object matching the first sub-object in the second object;
and processing the resources of the first sub-object based on the resources of the first sub-object, the resources of the second sub-object and the resource processing mode.
In a possible implementation manner, the processing module 405 is configured to adjust the resource value of the first sub-object to a first target value in response to that the object type of the first sub-object is a fourth type, where the first target value is a maximum value of a resource increasing proportion value of the first sub-object and a resource discount value of the first sub-object, the resource increasing proportion value of the first sub-object is a product of the resource value of the first sub-object and an increasing proportion of the second sub-object, and the resource discount value of the first sub-object is a product of the resource value of the first sub-object and a limit discount of the first sub-object;
in response to the object type of the first sub-object being a non-fourth type, adjusting the resource value of the first sub-object to a second target value, the second target value being a minimum value of a resource reduction ratio value of the first sub-object multiplied by a reduction ratio of the resource value of the first sub-object multiplied by a restriction discount of the second sub-object, and a resource discount value of the first sub-object multiplied by a restriction discount of the first sub-object.
In a possible implementation manner, the processing module 405 is further configured to determine a priority of the first sub-object;
and processing the resources of the first sub-object based on the resources of the first sub-object, the priority of the first sub-object, the resources of the second sub-object and the resource processing mode.
The apparatus determines the object type of the first object based on the first adjustment reference index of the first object and the second adjustment reference index of the second object, and thus may make the determination of the object type of the first object more accurate since a difference between the first object and the second object is taken into consideration. And determining the resource processing mode of the first object according to the object type of the first object so as to process the resource of the first object, wherein the resource processing mode determined in the process better meets the resource processing requirement of the first object, so that the resource processing process of the first object is more flexible, and the accuracy and the reliability of the resource processing of the first object are improved.
It should be noted that: in the resource processing apparatus provided in the foregoing embodiment, when performing resource processing, only the division of the functional modules is illustrated, and in practical applications, the function allocation may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the functions described above. In addition, the resource processing apparatus and the resource processing method provided in the foregoing embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments and are not described herein again.
Fig. 5 is a schematic structural diagram of a server according to an embodiment of the present application, where the server 500 may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 501 and one or more memories 502, where the one or more memories 502 store at least one program instruction, and the at least one program instruction is loaded and executed by the one or more processors 501 to implement the resource Processing method provided by the foregoing method embodiments. Of course, the server 500 may also have components such as a wired or wireless network interface, a keyboard, and an input/output interface, so as to perform input and output, and the server 500 may also include other components for implementing the functions of the device, which is not described herein again.
In an exemplary embodiment, there is also provided a computer-readable storage medium having at least one program code stored therein, the at least one program code being loaded and executed by a processor of a computer device to implement any of the above-mentioned resource processing methods.
Alternatively, the computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a Compact Disc Read-Only Memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.
It should be understood that reference to "a plurality" herein means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
The above description is only exemplary of the present application and is not intended to limit the present application, and any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (10)

1. A method for processing resources, the method comprising:
acquiring a first adjustment reference index of a first object to be processed in a target time period, wherein the first adjustment reference index comprises a first sales increase value and a first traffic ranking;
acquiring a second adjustment reference index of a second object matched with the first object in the target time period, wherein the second adjustment reference index comprises a second sales increase value;
determining an object type of the first object based on the first adjustment reference indicator and the second adjustment reference indicator;
determining a resource processing mode of the first object according to the object type of the first object;
and processing the resources of the first object according to the resources of the first object, the resources of the second object and the resource processing mode.
2. The method of claim 1, wherein determining the object type of the first object based on the first adjusted reference indicator and the second adjusted reference indicator comprises:
in response to the first sales increase value being lower than the second sales increase value, the first traffic ranking being higher than a target traffic ranking, determining an object type of the first object to be a first type;
in response to the first increase in sales value being lower than the second increase in sales value, the first traffic ranking being lower than the target traffic ranking, determining the object type of the first object to be a second type;
in response to the first increase in sales value being greater than the second increase in sales value, the first traffic ranking being lower than the target traffic ranking, determining that the object type of the first object is a third type;
in response to the first increase in sales value being greater than the second increase in sales value, the first traffic ranking being greater than the target traffic ranking, determining that the object type of the first object is a fourth type.
3. The method of claim 1, wherein the resource handling mode comprises an up resource mode and a down resource mode;
the determining the resource processing mode of the first object according to the object type of the first object comprises:
determining that the resource processing mode of the first object is a resource improving mode in response to the object type of the first object being a fourth type;
and determining that the resource processing mode of the first object is a resource reduction mode in response to the object type of the first object being a non-fourth type.
4. The method of any of claims 1-3, wherein the first object and the second object each comprise a plurality of sub-objects;
the processing the resource of the first object according to the resource of the first object, the resource of the second object and the resource processing mode comprises:
determining a first sub-object in the first object based on the resource processing mode;
determining a second sub-object matching the first sub-object in the second object;
and processing the resources of the first sub-object based on the resources of the first sub-object, the resources of the second sub-object and the resource processing mode.
5. The method according to claim 4, wherein the processing the resource of the first sub-object based on the resource of the first sub-object, the resource of the second sub-object and the resource processing manner comprises:
in response to the object type of the first sub-object being a fourth type, adjusting the resource value of the first sub-object to a first target value, the first target value being a maximum value of a resource improvement proportion value of the first sub-object and a resource discount value of the first sub-object, the resource improvement proportion value of the first sub-object being a product of the resource value of the first sub-object and the improvement proportion of the second sub-object, the resource discount value of the first sub-object being a product between the resource value of the first sub-object and the limitation discount of the first sub-object;
in response to the object type of the first sub-object being a non-fourth type, adjusting the resource value of the first sub-object to a second target value, where the second target value is a minimum value of a resource reduction ratio value of the first sub-object and a resource discount value of the first sub-object, the resource reduction ratio value of the first sub-object is a product of the resource value of the first sub-object and a reduction ratio of the second sub-object, and the resource discount value of the first sub-object is a product of the resource value of the first sub-object and a limit discount of the first sub-object.
6. The method of claim 4, wherein after determining the second sub-object in the second object that matches the first sub-object, the method further comprises:
determining a priority of the first sub-object;
the processing the resource of the first sub-object based on the resource of the first sub-object, the resource of the second sub-object and the resource processing mode comprises:
and processing the resources of the first sub-object based on the resources of the first sub-object, the priority of the first sub-object, the resources of the second sub-object and the resource processing mode.
7. An apparatus for resource handling, the apparatus comprising:
the first acquisition module is used for acquiring a first adjustment reference index of a first object to be processed in a target time period, wherein the first adjustment reference index comprises a first sales increase value and a first traffic ranking;
a second obtaining module, configured to obtain a second adjustment reference indicator of a second object matching the first object in the target time period, where the second adjustment reference indicator includes a second sales increase value;
a first determination module for determining an object type of the first object based on the first adjustment reference indicator and the second adjustment reference indicator;
the second determining module is used for determining the resource processing mode of the first object according to the object type of the first object;
and the processing module is used for processing the resources of the first object according to the resources of the first object, the resources of the second object and the resource processing mode.
8. The apparatus of claim 7, wherein the first determining module is configured to determine the object type of the first object as a first type in response to the first increase in sales value being lower than the second increase in sales value and the first traffic ranking being higher than the target traffic ranking;
in response to the first increase in sales value being lower than the second increase in sales value, the first traffic ranking being lower than the target traffic ranking, determining the object type of the first object to be a second type;
in response to the first increase in sales value being greater than the second increase in sales value, the first traffic ranking being lower than the target traffic ranking, determining that the object type of the first object is a third type;
in response to the first increase in sales value being greater than the second increase in sales value, the first traffic ranking being greater than the target traffic ranking, determining that the object type of the first object is a fourth type.
9. A server, characterized in that the server comprises a processor and a memory, in which at least one program code is stored, which is loaded and executed by the processor to implement the resource handling method according to any of claims 1 to 6.
10. A computer-readable storage medium having stored therein at least one program code, the at least one program code being loaded and executed by a processor to implement the resource handling method according to any one of claims 1 to 6.
CN202010576208.3A 2020-06-22 2020-06-22 Resource processing method, device, server and computer readable storage medium Pending CN111754105A (en)

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