CN110189234B - Hotel information adjusting method and device for OTA platform - Google Patents

Hotel information adjusting method and device for OTA platform Download PDF

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CN110189234B
CN110189234B CN201910458719.2A CN201910458719A CN110189234B CN 110189234 B CN110189234 B CN 110189234B CN 201910458719 A CN201910458719 A CN 201910458719A CN 110189234 B CN110189234 B CN 110189234B
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adjusting
value set
data
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CN110189234A (en
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孔鸿运
邢星
王晖
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Beijing Chuangxin Journey Network Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/02—Reservations, e.g. for tickets, services or events
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0206—Price or cost determination based on market factors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283—Price estimation or determination
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants

Abstract

The disclosure relates to a hotel information adjusting method for an OTA platform, wherein the hotel information comprises at least one data value with different sizes, and the method comprises the following steps: determining a first data value set, wherein the first data value set is a hotel information real-time data value set provided by all OTA platforms; determining a second data value set to be subjected to data value adjustment in the first data value set according to a set dimension, wherein the dimension comprises an OTA dimension, a hotel dimension and/or a house type dimension; adjusting a smallest data value of the second set of data values based on the first set of data values. By the method and the device, hotel information adjustment precision can be improved, and adjustment granularity can be reduced.

Description

Hotel information adjusting method and device for OTA platform
Technical Field
The disclosure relates to the technical field of information processing, in particular to a hotel information adjusting method and device for an OTA platform.
Background
Currently, Online Travel Agent (OTA) platforms are increasingly used for hotel booking.
The OTA platform can display hotel information of a hotel to be booked, and the hotel information can be information such as hotel price, house type and the like. Real-time adjustment and update of hotel information on OTA platforms are very important for merchants and users. For example, price information adjustment for OTA platform hotels is a concern for both merchants and users. At present, the adjustment of hotel information of a certain OTA platform is usually performed based on historical information data of the hotel information of the OTA platform, and all hotels in the hotel information of the certain OTA platform are adjusted for the hotel information of the OTA platform, or the hotel information of the OTA platform is integrally adjusted. The information adjusting mode has too coarse adjusting granularity, cannot adjust the hotel information of the OTA platform under specific conditions, and is lack of real-time performance.
Disclosure of Invention
In order to solve the above problems in the prior art, the present disclosure provides a hotel information adjustment method and device for an OTA platform.
A first aspect of the present disclosure provides a hotel information adjustment method for an OTA platform, where adjustment is performed for hotel information including at least one data value with different sizes, including: determining a first data value set, wherein the first data value set is a hotel information real-time data value set provided by all OTA platforms; determining a second data value set to be subjected to data value adjustment in the first data value set according to a set dimension, wherein the dimension comprises an OTA dimension, a hotel dimension and/or a house type dimension; adjusting a smallest data value of the second set of data values based on the first set of data values.
In one example, adjusting a smallest data value of the second set of data values based on the first set of data values includes: determining whether data values in the second set of data values are from the same OTA platform; if so, adjusting the minimum data value in the second data value set according to a preset adjustment discount value; if not, adjusting the minimum data value in the second data value set according to the minimum data value in the second data value set and the minimum data value in the first data value set.
In one example, adjusting a minimum data value of the second set of data values as a function of the minimum data value of the second set of data values and the minimum data value of the first set of data values includes: determining whether a smallest data value in the second set of data values is equal to a smallest data value in the first set of data values; if not, adjusting the minimum data value in the second data value set according to a first difference percentage and a first preset adjustment factor X, wherein the first difference percentage is the difference percentage between the minimum data value in the first data value set and the minimum data value in the second data value set, and X is greater than 0 and less than 1; if the first data value set and the second data value set are equal, adjusting the minimum data value in the second data value set according to a second difference percentage and a second preset adjusting factor Y, wherein the second difference percentage is the difference percentage between the second minimum data value in the first data value set and the minimum data value in the second data value set, and Y is greater than 0 and smaller than 1.
In one example, adjusting a minimum data value in the second set of data values according to a first difference percentage and a first preset adjustment factor X includes: and if the first difference percentage is smaller than a first preset adjustment factor X, adjusting the minimum data value in the second data value set to enable the difference percentage between the adjusted data value and the original data value to be a third preset adjustment factor W, wherein W is larger than 0 and smaller than 1.
In one example, adjusting a minimum data value in the second set of data values according to a second difference percentage and a second preset adjustment factor Y includes: if the second difference percentage is less than or equal to a second preset adjustment factor Y, adjusting the minimum data value in the second data value set, so that the difference percentage between the adjusted value and the minimum data value in the second data value set is the second preset adjustment factor Y; and if the second difference percentage is greater than a second preset adjustment factor Y, adjusting the minimum data value in the second data value set according to a preset adjustment discount value.
In one example, the second smallest data value of the first set of data values is determined as follows: determining a first OTA platform that provides a smallest data value of the second set of data values; determining, in an OTA platform providing the first set of data values, a second OTA platform different from the first OTA platform; determining a minimum data value provided by the second OTA platform as a second-order data value in the first set of data values.
In one example, after adjusting the smallest data value in the second set of data values, the method further comprises:
if the adjusted minimum data value meets the condition of interest offering amplitude protection, the minimum data value in the adjusted second data value set is adjusted again according to the preset condition of interest offering amplitude protection; the offer range protection condition is determined according to the single night offer range, the single order offer range and/or the number of the night.
A second aspect of the present disclosure provides an OTA platform hotel information adjusting apparatus, wherein the hotel information includes at least one data value with different sizes, the apparatus comprising: the first data value set determining unit is used for determining a first data value set, wherein the first data value set is a hotel information real-time data value set provided by all OTA platforms; a second data value set determining unit, configured to determine, according to a set dimension, a second data value set to be subjected to data value adjustment in the first data value set, where the dimension includes an OTA dimension, a hotel dimension, and/or a house type dimension; an adjusting unit, configured to adjust a smallest data value of the second set of data values based on the first set of data values.
In one example, the adjusting unit adjusts a smallest data value of the second set of data values based on the first set of data values as follows: determining whether data values in the second set of data values are from the same OTA platform; if so, adjusting the minimum data value in the second data value set according to a preset adjustment discount value; if not, adjusting the minimum data value in the second data value set according to the minimum data value in the second data value set and the minimum data value in the first data value set.
In one example, the adjustment unit adjusts a minimum data value of the second set of data values according to the minimum data value of the second set of data values and the minimum data value of the first set of data values as follows: determining whether a smallest data value in the second set of data values is equal to a smallest data value in the first set of data values; if not, adjusting the minimum data value in the second data value set according to a first difference percentage and a first preset adjustment factor X, wherein the first difference percentage is the difference percentage between the minimum data value in the first data value set and the minimum data value in the second data value set, and X is greater than 0 and less than 1; if the first data value set and the second data value set are equal, adjusting the minimum data value in the second data value set according to a second difference percentage and a second preset adjusting factor Y, wherein the second difference percentage is the difference percentage between the second minimum data value in the first data value set and the minimum data value in the second data value set, and Y is greater than 0 and smaller than 1.
In one example, the adjusting unit adjusts the minimum data value in the second data value set according to the first difference percentage and a first preset adjustment factor X in the following manner: and if the first difference percentage is smaller than a first preset adjustment factor X, adjusting the minimum data value in the second data value set to enable the difference percentage between the adjusted data value and the original data value to be a third preset adjustment factor W, wherein W is larger than 0 and smaller than 1.
In one example, the adjusting unit adjusts the minimum data value in the second data value set according to a second difference percentage and a second preset adjusting factor Y in the following manner: if the second difference percentage is less than or equal to a second preset adjustment factor Y, adjusting the minimum data value in the second data value set, so that the difference percentage between the adjusted value and the minimum data value in the second data value set is the second preset adjustment factor Y; and if the second difference percentage is greater than a second preset adjustment factor Y, adjusting the minimum data value in the second data value set according to a preset adjustment discount value.
In one example, the second smallest data value of the first set of data values is determined as follows: determining a first OTA platform that provides a smallest data value of the second set of data values; determining, in an OTA platform providing the first set of data values, a second OTA platform different from the first OTA platform; determining a minimum data value provided by the second OTA platform as a second-order data value in the first set of data values.
In one example, the adjusting unit is further configured to: after the minimum data value in the second data value set is adjusted, if the adjusted minimum data value meets the condition of interest-offering amplitude protection, the minimum data value in the adjusted second data value set is adjusted again according to the preset condition of interest-offering amplitude protection; the offer range protection condition is determined according to the single night offer range, the single order offer range and/or the number of the night.
A third aspect of the present disclosure provides an electronic device, wherein the electronic device includes:
a memory to store instructions; and
and a processor, configured to invoke the instruction stored in the memory to execute the OTA platform hotel information adjustment method described in the first aspect or any example of the first aspect.
A fourth aspect of the present disclosure provides a computer-readable storage medium having stored therein instructions that, when executed by a processor, perform the OTA platform hotel information adjustment method of the first aspect or any of the first aspects.
According to the hotel information adjusting method and device of the OTA platform, data value adjustment is carried out on a second data value set to be subjected to data value adjustment according to a first data value set containing a hotel information real-time data value provided by the OTA platform, and compared with a mode of carrying out data value adjustment by using historical data, the method and device are high in instantaneity and accuracy. And the second data value set is determined according to the set dimension, the OTA platform hotel information with the specified dimension can be adjusted, and the adjustment granularity is smaller.
Drawings
The above and other objects, features and advantages of the embodiments of the present disclosure will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the present disclosure are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
fig. 1 shows a flowchart of a hotel information adjustment method for an OTA platform provided according to an embodiment of the present disclosure;
fig. 2 illustrates a flowchart of an implementation of a method for adjusting a minimum data value of a second set of data values based on a first set of data values according to an embodiment of the present disclosure;
FIG. 3 is a flowchart illustrating an embodiment of a method for adjusting a minimum data value of a second set of data values according to the minimum data value of the second set of data values and the minimum data value of the first set of data values;
fig. 4 illustrates a flow chart of a method of adjusting hotel minimum prices in an OTA platform according to an embodiment of the present disclosure;
fig. 5 shows a schematic diagram of a hotel information adjustment device of an OTA platform provided by an embodiment of the disclosure;
fig. 6 shows a schematic diagram of an electronic device provided by an embodiment of the present disclosure.
In the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.
Detailed Description
The principles and spirit of the present disclosure will be described with reference to a number of exemplary embodiments. It is understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the present disclosure, and are not intended to limit the scope of the present disclosure in any way.
It should be noted that, although the expressions "first", "second", etc. are used herein to describe different modules, steps, data, etc. of the embodiments of the present disclosure, the expressions "first", "second", etc. are merely used to distinguish between different modules, steps, data, etc. and do not indicate a particular order or degree of importance. Indeed, the terms "first," "second," and the like are fully interchangeable.
The utility model provides an OTA platform hotel information's adjustment method, carry out the data value adjustment according to the hotel information real-time data value that the OTA platform provided has the data value under the settlement dimension hotel information, improve the degree of accuracy of hotel information adjustment. And the hotel information of the OTA platform with the specified dimensionality is adjusted, so that the adjustment granularity is smaller. In one example, the present disclosure may adjust for a minimum data value of hotel information data values to enable adjustment of a hotel information minimum data value that is sensitive to a user, such as a minimum price adjustment for the same hotel.
The OTA platform hotel information adjustment method provided by the embodiments of the present disclosure may be applied to electronic devices such as terminal devices, computer systems, and servers, which may operate with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with electronic devices, such as terminal devices, computer systems, and servers, include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, networked personal computers, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above, and the like.
Electronic devices such as terminal devices, computer systems, and servers may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, and data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
Fig. 1 is a flowchart illustrating an implementation of a hotel information adjustment method for an OTA platform according to an embodiment of the present disclosure. The hotel information adjusted in this disclosure refers to hotel information that includes one or more data values of varying sizes. Referring to fig. 1, the OTA platform hotel information adjustment method includes steps S101 to S103.
S101: and determining a hotel information real-time data value set provided by all OTA platforms.
In the disclosure, for hotel information to be adjusted, hotel information real-time data values provided by all OTA platforms providing the hotel information to be adjusted may be obtained to obtain hotel information real-time data value sets provided by all OTA platforms. For convenience of description, the hotel information real-time data value set provided by all OTA platforms will be referred to as a first data value set hereinafter.
The hotel information to be adjusted in the present disclosure typically has data values of unequal size, for example, the hotel information may be a hotel price.
In one possible example, the first set of data values may be determined in accordance with the hotel information dimension to be adjusted in the present disclosure. For example, by adjusting hotel prices for a house-type dimension in this disclosure, the real-time hotel prices for the same hotel for all OTA platforms can be obtained here.
S102: and determining a second data value set to be subjected to data value adjustment in the first data value set according to the set dimension.
In the present disclosure, a hotel information dimension to be adjusted may be set, and a hotel information data value corresponding to the dimension in the first data value set is aggregated in the set dimension to obtain a hotel information data value set to be adjusted. The set of hotel information data values to be adjusted is referred to in this disclosure as a second set of data values.
In possible examples, the set dimension in the present disclosure may be an OTA dimension, a hotel dimension, a house dimension, or a combination of multiple dimensions of an OTA dimension, a hotel dimension, and a house dimension. The set dimension may be determined in advance through a background configuration, for example, a hotel list and a room type list to be adjusted by the background configuration. By setting the dimension and aggregating the hotel information data values corresponding to the dimension in the first data value set in the set dimension, the adjustment of the multi-dimensional hotel information can be realized, the flexibility of the hotel information adjustment is improved, and the granularity of the hotel information adjustment is reduced.
For example, in the present disclosure, the dimension is set as a house dimension, the hotel information to be adjusted is a hotel price, and when the second data value set is determined, real-time prices of the same hotel provided by all OTA platforms can be grouped according to the house dimension to obtain hotel prices provided by all OTA platforms in each house dimension, so that the hotel price in each house dimension can be adjusted in the following process.
S103: based on the first set of data values, a minimum data value of the second set of data values is adjusted.
In the disclosure, the minimum data value in the second data value set is adjusted based on the hotel information real-time data value set provided by all OTA platforms, the adjustment precision is higher compared with the adjustment using historical data, and the adjustment of the minimum data value in the second data value set based on the minimum data value in the hotel information data values provided by all OTA platforms can be realized.
The present disclosure now describes implementations of adjusting a minimum data value in a second set of data based on a first set of data values.
Fig. 2 is a flow chart illustrating an implementation of a method for adjusting a minimum data value of a second set of data values based on a first set of data values according to the present disclosure. Referring to fig. 2, the method includes:
s1031: a determination is made whether the data values in the second set of data values are from the same OTA platform. If the data values in the second set of data values are from the same OTA platform, step S1032 is performed. If the data values in the second set of data values are from different OTA platforms, step S1033 is performed.
S1032: and adjusting the minimum data value in the second data value set according to the preset adjustment discount value.
In the present disclosure, the discount value can be preset and adjusted according to actual needs, and is recorded as M. Wherein, M is used to control the discount amplitude for adjusting the minimum data value, and the larger M, the larger discount amplitude. Wherein M is greater than 0 and less than 1.
If the data values in the second data value set are from the same OTA platform, it can be determined that only the OTA platform provides the hotel information data values to be adjusted, and further it can be determined that the minimum data value in the second data value set is the minimum value of all hotel information data values, so that the minimum data value in the second data value set can be directly adjusted according to the preset adjustment discount value, so that the adjusted hotel information data value is the minimum value of all hotel information data values provided by all OTA platforms providing the hotel information data value.
S1033: the minimum data value in the second set of data values is adjusted according to the minimum data value in the second set of data values and the minimum data value in the first set of data values.
In this disclosure, if the data values in the second data value set are from different OTA platforms, it may be determined that a plurality of OTA platforms provide hotel information data values that need to be adjusted, and then the minimum data value in the second data value set and the minimum data value in the first data value set may be combined to adjust the minimum data value in the second data value set, so that the adjusted hotel information data value is the minimum value of all hotel information data values provided by all OTA platforms providing the hotel information data value.
Fig. 3 is a flowchart illustrating an implementation of a method for adjusting a minimum data value in a second set of data values according to the minimum data value in the second set of data values and the minimum data value in the first set of data values, which is shown in fig. 3 and includes:
s1033 a: a determination is made whether a smallest data value in the second set of data values and a smallest data value in the first set of data values are equal.
The smallest data value in the first set of data values and the smallest data value in the second set of data values, denoted as L1 and L2, respectively, may be obtained in this disclosure. A determination is made as to whether the smallest data value L2 in the second set of data values and the smallest data value L1 in the first set of data values are equal. S1033b is performed if the smallest data value L2 in the second set of data values is not equal to the smallest data value L1 in the first set of data values. If the smallest data value in the second set of data values is equal to the smallest data value in the first set of data values, S1033c is performed.
S1033 b: and adjusting the minimum data value in the second data value set according to the first difference percentage and a first preset adjusting factor X.
In the present disclosure, if the minimum data value L2 in the second set of data values and the minimum data value L1 in the first set of data values are not equal, a percentage of difference between the minimum data value L1 in the first set of data values and the minimum data value L2 in the second set of data values is determined, denoted as a first percentage of difference P1. Wherein, P1 is (L1-L2)/L2.
In the present disclosure, an adjustment factor may be further preset, and whether the sub-small data value is adjustable is determined by the preset adjustment factor. This preset adjustment factor is referred to as a first preset adjustment factor X hereinafter, where X is greater than 0 and less than 1. If X is increased, when the hotel information data value to be adjusted is a global secondary small data value, the probability of adjusting the hotel information data value to be adjusted can be increased. It is understood that global references in this disclosure refer to hotel information data values provided by all OTA platforms.
In a possible example, on the one hand, if the first difference percentage is smaller than the first preset adjustment factor X, the minimum data value in the second data value set is adjusted, so that the difference percentage between the adjusted data value and the original data value is a third preset adjustment factor. The third preset adjustment factor is denoted as W in this disclosure. W is used to control the adjustment of the global minor data value to the minimum data value, and the discount margin that can be given up is large. Where the larger W, the greater the magnitude of the discount. Wherein W is greater than 0 and less than 1. For example, in the present disclosure, if the first difference percentage is smaller than the first preset adjustment factor X, the discount value may be set as:
Figure BDA0002077383770000091
so that the percentage of the difference between the adjusted data value and the original data value is a third preset adjustment factor W. On the other hand, if the first difference percentage is greater than or equal to the first preset adjustment factor X, the adjustment of the hotel information data value may be ended.
S1033 c: and adjusting the minimum data value in the second data value set according to the second difference percentage and a second preset adjusting factor Y.
In this disclosure, if the smallest data value L2 in the second set of data values and the smallest data value L1 in the first set of data values are equal, the next smallest data value in the first set of data values, denoted Lw, may be determined.
In the present disclosure, the following may be employed in determining the next-to-small data value Lw in the first set of data values: determining a first OTA platform that provides a smallest data value of the second set of data values; determining, in the OTA platform providing the first set of data values, a second OTA platform different from the first OTA platform; the smallest data value provided by the second OTA platform is taken as the second smallest data value in the first set of data values.
In this disclosure, a percentage of difference between a second smallest data value Lw in the first set of data values and a smallest data value L2 in the second set of data values is determined, denoted as a second percentage of difference P2. Wherein, P2 is (Lw-L2)/L2.
In the present disclosure, an adjustment factor Y may also be preset, where Y is greater than 0 and less than 1 and is recorded as a second preset adjustment factor. The second preset adjustment factor Y is used to determine whether a smallest data value of the second set of data values is adjustable. If Y increases, the probability of adjustment to the hotel information data value to be adjusted may be increased when the minimum data value L2 in the second set of data values is the global minimum data value, and the greater Y, the greater the magnitude of the discount.
In this disclosure, on the one hand, if the second difference percentage is less than or equal to the second preset adjustment factor Y, the minimum data value L2 in the second data value set is adjusted, so that the difference percentage between the adjusted value and the minimum data value in the second data value set is the second preset adjustment factor Y. For example, in the present disclosure, if the second difference percentage is less than or equal to the second preset adjustment factor Y, the discount value may be set as:
Figure BDA0002077383770000101
such that the percentage of difference between the adjusted value and the smallest data value in the second set of values is the second preset adjustment factor Y. On the other hand, if the second difference percentage is greater than the second preset adjustment factor Y, the minimum data value in the second data value set may be adjusted according to the preset adjustment discount value M. For example, the discount value may be set to: (1-M), adjusting a smallest data value of the second set of data values.
In the present disclosure, by setting the first preset adjustment factor X, the second preset adjustment factor Y, the third preset adjustment factor W, and the preset adjustment discount value M, the minimum data value in the second data value set can be adjusted within a controllable range.
Further, in the disclosure, the offer range protection condition may be determined and set according to the single night offer range NC, the single order offer range OC and/or the night number RC. If the minimum data value adjusted in the above manner meets the condition of interest-offering amplitude protection, the minimum data value in the second data value set can be adjusted again according to the preset condition of interest-offering amplitude protection, so as to ensure that the adjusted minimum value realizes adjustment in the maximum range on the premise of ensuring benefit maximization.
In the disclosure, a single night is a short for a room for one night, and a night is a main index of a hotel reservation industry, for example, if a user reserves 2 rooms and stays for 2 nights, the total night is 4. The number of night is the total number of stay night, i.e. number of rooms versus number of nights. For example, if the user booked 2 rooms and stayed 2 nights, the number of nights would be 4.
In a possible example, a single night offer amount NC, a single order offer amount OC, and a night number RC may be preset in the present disclosure. Determining an actual single-night offer amplitude NC according to the adjusted minimum data value, if the determined single-night offer amplitude NC is larger than a preset single-night offer amplitude NC, determining an actual single-order offer amplitude OC according to the adjusted minimum data value and a preset single-order offer amplitude RC, if the determined actual single-order offer amplitude OC is larger than the preset single-order offer amplitude OC, re-determining an adjusted discount value according to the adjusted minimum data value, the preset single-order offer amplitude OC and the preset single-night offer amplitude RC, and re-adjusting the minimum data value in the adjusted second data value set by using the re-adjusted discount value.
It can be understood that, in the present disclosure, the first preset adjustment factor X, the second preset adjustment factor Y, the third preset adjustment factor W, the preset adjustment discount value M, the single night offer range NC, the single order offer range OC, and the night number RC may be set according to empirical values, or may be obtained through data statistics calculation, for example, according to data such as order data, destination visit amount, user visit time, hotel popularity, and the like, and determined by combining real-time analysis and offline analysis.
A typical application scenario of the above-described hotel information adjustment method for the OTA platform provided by the present disclosure is to adjust the minimum price of a hotel in the OTA platform. When the minimum price of the hotel in the OTA platform is adjusted, the minimum price of the hotel of the OTA platform is adjusted according to the set dimension (appointed OTA, appointed hotel or appointed house type) based on the real-time prices of the hotels provided by the plurality of OTA platforms, so that the price adjustment is more accurate. The hotel real-time prices provided by all OTA platforms can be grouped according to set dimensions (OTA, hotel or house type), and the lowest price adjustment of different dimensions can be realized in a controllable range by taking the groups as units. For example, the global minimum price adjustments may be made in groups of master rooms, with each master room group. Specifically, when the lowest price is adjusted, the difference percentage between the lowest price in the set to be adjusted and the global lowest price or the global next-lowest price is calculated, then the adjustment discount value is determined by comparing the difference percentage with the preset adjustment factor, and the lowest price is adjusted, so that the adjusted lowest price is the global lowest price under the cross-platform. And when the lowest price is further adjusted, whether the offering amplitude protection condition (single night discount offering maximum value NC, single order discount offering maximum value OC and living night RC) is triggered or not can be detected, the maximization of the total income is ensured, and the loss of the total profit is avoided.
The present disclosure will be described below with reference to the example of hotel minimum price adjustment for a set OTA in a house-type dimension. Wherein, the preset adjusting factors X, Y, W and M satisfy 0< X, Y, W and M < 1. And presetting a single night discount offer maximum value NC, a single order discount offer maximum value OC and a living night number RC.
Fig. 4 is a flowchart illustrating a method for adjusting a minimum hotel price in an OTA platform according to an embodiment of the disclosure. Referring to fig. 4, the method includes:
s201: a first set of data values, i.e. all real-time price sets for the same hotel room type for all OTA platforms, is determined.
In this disclosure, all OTA platforms record a for all real-time price sets of the same hotel room type, and then a is represented as:
A＝[(ota_id1，price1)，(ota_id2，price2)，…，(ota_idn，pricen)]。
wherein OTA _ id represents the identity of the OTA platform and the price identifies the real-time price provided by the OTA platform.
S202: a second set of data values, i.e. the set of real-time prices offered by the OTAs in the set S of "set OTA" allowing pricing, is determined, denoted as set B.
S203: and judging whether the set B is empty, if so, ending the price adjusting method, and if not, continuing to execute the step S204.
S204: it is determined whether the prices in set B are from the same OTA. If the prices in set B are from different OTAs, step S205 is performed. And if the price in the set B is from the same OTA, acquiring the lowest price in the set B, determining that the adjustment discount value count is 1-M, and jumping to the step S210.
S205: and acquiring the lowest price in the set A and recording the lowest price as LA. And acquiring the lowest price in the set B, and recording the lowest price as LB.
S206: the size of the LA and LB are compared to determine if the set OTA provides the global minimum price. If LA is equal to LB, the global minimum price is provided on behalf of the OTA setting, step S207 is performed to determine the global minimum price LW, and step S208 is performed to calculate the discounted value of the price adjustment. If LA is not equal to LB, go to step S209.
S207: determining a global sub-cost LW.
And determining that the OTA providing the price in the set A is not the same OTA as the OTA providing the LB, and determining that the price with the lowest price is LW. If all prices in set a are the same, LW may be set as LB as long as there are other OTAs.
S208: and determining the difference percentage of the global low price LW and the lowest price LB in the set B, and determining the difference percentage and the preset adjustment factor Y. Wherein the difference percentage of LW and LB is P ═ LW-LB)/LB. If P < ═ Y, the discount value discount is adjusted to (1+ P)/(1+ Y). If P > Y, step S210 is skipped to determine that the adjustment discount value is 1-M.
S209: determining the difference percentage between the lowest price LA in set A and the lowest price LB in set B, and determining the difference percentage and the size of X. Wherein the difference percentage of LA and LB is P ═ LA-LB)/LB. If P < X, the discount value is adjusted to 1/((1+ P) × (1+ W)), and step S210 is skipped. If P > is X, ending the price adjustment.
S210: the adjusted discount value is determined to be 1-M. Wherein M is a preset adjustment discount value.
S211: and adjusting the discount value according to the offering amplitude protection condition.
The present disclosure may determine a single night offer magnitude, for example, as follows:
nc is price (1-discrete). Wherein nc is the single night offer range, price is the price to be adjusted, and discount is the adjustment discount value.
If NC > NC, the adjusted discount value is recalculated. For example, discountNEW ═ (price-NC)/price; where NC is the maximum single night offer magnitude, price is the price to be adjusted, and discountNEW is the recalculated adjustment discount value. And calculating the single order yield magnitude by using the recalculated adjusted discount value.
For example, oc ═ price (1-discountNEW) × RC;
wherein oc is the single order yield magnitude, price is the price to be adjusted, discountNEW is the recalculated adjustment discount value, and RC is the night time.
If OC > OC, the adjusted discount value is recalculated as the adjusted discount value for which price adjustment is ultimately made. This can be determined, for example, as follows:
disocuntfinal＝(price*RC-OC)/price*OC；
wherein, discontunfinal is the adjustment discount value for finally adjusting the price, price is the price to be adjusted, RC is night time, and OC is the maximum discount offer value for single order.
According to the method, the price set of the to-be-adjusted price is searched according to the range of the set OTA, the difference value percentage between the price set and the lowest price or the next lowest price is calculated, the adjustment discount value is determined by comparing the difference value percentage with the adjustment factor, whether the offer margin protection is triggered or not is detected, the final price adjustment discount value is obtained, and the hotel price can be adjusted to be the global lowest price.
Based on the same inventive concept, the embodiment of the disclosure also provides a hotel information adjusting device of the OTA platform.
As shown in fig. 5, an embodiment of the present disclosure further provides an OTA platform hotel information adjusting apparatus 100, where the OTA platform hotel information adjusting apparatus 100 includes a first data value set determining unit 101, a second data value set determining unit 102, and an adjusting unit 103. The first data value set determining unit 101 is configured to determine a first data value set, where the first data value set is a hotel information real-time data value set provided by all OTA platforms; a second data value set determining unit 102, configured to determine, according to a set dimension, a second data value set to be subjected to data value adjustment in the first data value set, where the dimension includes an OTA dimension, a hotel dimension, and/or a house type dimension; an adjusting unit 103, configured to adjust a minimum data value in the second set of data values based on the first set of data values.
In one possible embodiment, the adjusting unit 103 adjusts the minimum data value in the second data value set based on the first data value set by the following method: judging whether the data values in the second data value set come from the same OTA platform or not; if so, adjusting the minimum data value in the second data value set according to a preset adjustment discount value; if not, adjusting the minimum data value in the second data value set according to the minimum data value in the second data value set and the minimum data value in the first data value set.
In one possible embodiment, the adjusting unit 103 adjusts the minimum data value in the second data value set according to the minimum data value in the second data value set and the minimum data value in the first data value set as follows: determining whether a minimum data value in the second set of data values is equal to a minimum data value in the first set of data values; if not, adjusting the minimum data value in the second data value set according to a first difference percentage and a first preset adjusting factor X, wherein the first difference percentage is the difference percentage between the minimum data value in the first data value set and the minimum data value in the second data value set, and X is greater than 0 and less than 1; and if the first data value set is equal to the second data value set, adjusting the minimum data value in the second data value set according to a second difference percentage and a second preset adjusting factor Y, wherein the second difference percentage is the difference percentage between the second minimum data value in the first data value set and the minimum data value in the second data value set, and Y is greater than 0 and smaller than 1.
In one possible embodiment, the adjusting unit 103 adjusts the minimum data value in the second data value set according to the first difference percentage and the first preset adjustment factor X as follows: if the first difference percentage is smaller than the first preset adjustment factor X, the minimum data value in the second data value set is adjusted, so that the difference percentage between the adjusted data value and the original data value is a third preset adjustment factor W, and W is larger than 0 and smaller than 1.
In one possible embodiment, the adjusting unit 103 adjusts the minimum data value in the second data value set according to the second difference percentage and the second preset adjustment factor Y as follows: if the second difference percentage is less than or equal to a second preset adjustment factor Y, adjusting the minimum data value in the second data value set, and enabling the difference percentage between the adjusted value and the minimum data value in the second data value set to be the second preset adjustment factor Y; and if the second difference percentage is greater than a second preset adjustment factor Y, adjusting the minimum data value in the second data value set according to a preset adjustment discount value.
In one possible embodiment, the second data value of the first set of data values is determined as follows: determining a first OTA platform that provides a smallest data value of the second set of data values; determining, in the OTA platform providing the first set of data values, a second OTA platform different from the first OTA platform; the smallest data value provided by the second OTA platform is taken as the second smallest data value in the first set of data values.
In a possible implementation, the adjusting unit 103 is further configured to: after the minimum data value in the second data value set is adjusted, if the adjusted minimum data value meets the condition of interest-offering amplitude protection, the minimum data value in the adjusted second data value set is adjusted again according to the preset condition of interest-offering amplitude protection; the offer range protection condition is determined according to the single night offer range, the single order offer range and/or the number of the night.
It can be understood that the functions implemented by each module unit in the OTA platform hotel information adjusting apparatus according to the embodiment of the present invention correspond to the steps in the OTA platform hotel information adjusting method described above, and for specific implementation and technical effects, please refer to the description above for the method steps, which is not described herein again.
It should be further understood that the structure of the OTA platform hotel information adjusting device according to the above-mentioned embodiments of the present invention (including names and connection relationships of the module units) is only an illustrative example, and the structure of the OTA platform hotel information adjusting device provided based on the same inventive concept as the OTA platform hotel information adjusting method according to the above-mentioned embodiments of the present invention is not limited to the structure of fig. 4, and is not limited to the structure including the above-mentioned module units, and may include other module units, or the above-mentioned module units may be further subdivided.
In some embodiments, the present disclosure also provides an electronic device.
As shown in fig. 6, one embodiment of the present disclosure provides an electronic device 200. The electronic device 200 includes a memory 201, a processor 202, and an Input/Output (I/O) interface 203. The memory 201 is used for storing instructions. And the processor 202 is configured to call the instruction stored in the memory 201 to execute the OTA platform hotel information adjustment method according to the embodiment of the disclosure. The processor 202 is connected to the memory 201 and the I/O interface 203, respectively, for example, via a bus system and/or other connection mechanism (not shown). The memory 201 may be used to store programs and data, including the programs of the OTA platform hotel information adjustment method according to the embodiments of the present disclosure, and the processor 202 executes various functional applications and data processing of the electronic device 200 by executing the programs stored in the memory 201.
In the embodiment of the present disclosure, the processor 202 may be implemented in at least one hardware form of a Digital Signal Processor (DSP), a Field-Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), and the processor 202 may be one or a combination of a Central Processing Unit (CPU) or other Processing units with data Processing capability and/or instruction execution capability.
Memory 201 in the disclosed embodiments may comprise one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile Memory may include, for example, a Random Access Memory (RAM), a cache Memory (cache), and/or the like. The nonvolatile Memory may include, for example, a Read-Only Memory (ROM), a Flash Memory (Flash Memory), a Hard Disk Drive (HDD), a Solid-State Drive (SSD), or the like.
In the embodiment of the present disclosure, the I/O interface 203 may be used to receive input instructions (e.g., numeric or character information, and generate key signal inputs related to user settings and function control of the electronic apparatus 200, etc.), and may also output various information (e.g., images or sounds, etc.) to the outside. The I/O interface 203 in the disclosed embodiments may include one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a mouse, a joystick, a trackball, a microphone, a speaker, a touch panel, and the like.
In some embodiments, the present disclosure also provides a computer-readable storage medium having stored thereon computer-executable instructions. The computer executable instructions, when executed by a processor, perform the method described above.
It is to be understood that although operations are depicted in the drawings in a particular order, this is not to be understood as requiring that such operations be performed in the particular order shown or in serial order, or that all illustrated operations be performed, to achieve desirable results. In certain environments, multitasking and parallel processing may be advantageous.
The methods and apparatus related to embodiments of the present disclosure can be accomplished with standard programming techniques with rule-based logic or other logic to accomplish the various method steps. It should also be noted that the words "means" and "module," as used herein and in the claims, is intended to encompass implementations using one or more lines of software code, and/or hardware implementations, and/or equipment for receiving inputs.
Any of the steps, operations, or procedures described herein may be performed or implemented using one or more hardware or software modules, alone or in combination with other devices. In one embodiment, the software modules are implemented using a computer program product comprising a computer readable medium containing computer program code, which is executable by a computer processor for performing any or all of the described steps, operations, or procedures.
The foregoing description of the implementations of the disclosure has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the disclosure to the precise form disclosed, and modifications and variations are possible in light of the above teachings or may be acquired from practice of the disclosure. The embodiments were chosen and described in order to explain the principles of the disclosure and its practical application to enable one skilled in the art to utilize the disclosure in various embodiments and with various modifications as are suited to the particular use contemplated.

Claims (8)

1. A hotel information adjusting method based on an OTA platform, wherein the OTA is an online travel agency, and the hotel information comprises at least one data value with different sizes, and the method comprises the following steps:
determining a first data value set, wherein the first data value set is a hotel information real-time data value set provided by all OTA platforms;
determining a second data value set to be subjected to data value adjustment in the first data value set according to a set dimension, wherein the dimension comprises an OTA dimension, a hotel dimension and/or a house type dimension;
determining whether data values in the second set of data values are from the same OTA platform;
if so, adjusting the minimum data value in the second data value set according to a preset adjustment discount value;
if not, adjusting the minimum data value in the second data value set according to the minimum data value in the second data value set and the minimum data value in the first data value set;
wherein adjusting a minimum data value of the second set of data values according to the minimum data value of the second set of data values and the minimum data value of the first set of data values comprises:
determining whether a smallest data value in the second set of data values is equal to a smallest data value in the first set of data values;
if not, adjusting the minimum data value in the second data value set according to a first difference percentage and a first preset adjustment factor X, wherein the first difference percentage is the difference percentage between the minimum data value in the first data value set and the minimum data value in the second data value set, and X is greater than 0 and less than 1;
if the first data value set and the second data value set are equal, adjusting the minimum data value in the second data value set according to a second difference percentage and a second preset adjusting factor Y, wherein the second difference percentage is the difference percentage between the second minimum data value in the first data value set and the minimum data value in the second data value set, and Y is greater than 0 and smaller than 1.
2. The method of claim 1, wherein adjusting a smallest data value of the second set of data values according to a first difference percentage, a first preset adjustment factor X, comprises:
and if the first difference percentage is smaller than a first preset adjustment factor X, adjusting the minimum data value in the second data value set to enable the difference percentage between the adjusted data value and the original data value to be a third preset adjustment factor W, wherein W is larger than 0 and smaller than 1.
3. The method of claim 1, wherein adjusting a smallest data value of the second set of data values according to a second difference percentage, a second preset adjustment factor Y, comprises:
if the second difference percentage is less than or equal to a second preset adjustment factor Y, adjusting the minimum data value in the second data value set, so that the difference percentage between the adjusted value and the minimum data value in the second data value set is the second preset adjustment factor Y;
and if the second difference percentage is greater than a second preset adjustment factor Y, adjusting the minimum data value in the second data value set according to a preset adjustment discount value.
4. The method of claim 1, wherein the second smallest data value of the first set of data values is determined by:
determining a first OTA platform that provides a smallest data value of the second set of data values;
determining, in an OTA platform providing the first set of data values, a second OTA platform different from the first OTA platform;
determining a minimum data value provided by the second OTA platform as a second-order data value in the first set of data values.
5. The method of any of claims 1-4, wherein after adjusting a smallest data value of the second set of data values, the method further comprises:
if the adjusted minimum data value meets the condition of interest offering amplitude protection, the minimum data value in the adjusted second data value set is adjusted again according to the preset condition of interest offering amplitude protection;
the offer range protection condition is determined according to the single night offer range, the single order offer range and/or the number of the night.
6. An OTA platform hotel information adjustment apparatus, wherein the OTA is an online travel agency, the hotel information includes at least one data value of varying size, the apparatus comprising:
the first data value set determining unit is used for determining a first data value set, wherein the first data value set is a hotel information real-time data value set provided by all OTA platforms;
a second data value set determining unit, configured to determine, according to a set dimension, a second data value set to be subjected to data value adjustment in the first data value set, where the dimension includes an OTA dimension, a hotel dimension, and/or a house type dimension;
the adjusting unit is used for judging whether the data values in the second data value set come from the same OTA platform or not; if so, adjusting the minimum data value in the second data value set according to a preset adjustment discount value; if not, adjusting the minimum data value in the second data value set according to the minimum data value in the second data value set and the minimum data value in the first data value set;
wherein adjusting a minimum data value of the second set of data values according to the minimum data value of the second set of data values and the minimum data value of the first set of data values comprises:
determining whether a smallest data value in the second set of data values is equal to a smallest data value in the first set of data values;
if not, adjusting the minimum data value in the second data value set according to a first difference percentage and a first preset adjustment factor X, wherein the first difference percentage is the difference percentage between the minimum data value in the first data value set and the minimum data value in the second data value set, and X is greater than 0 and less than 1;
if the first data value set and the second data value set are equal, adjusting the minimum data value in the second data value set according to a second difference percentage and a second preset adjusting factor Y, wherein the second difference percentage is the difference percentage between the second minimum data value in the first data value set and the minimum data value in the second data value set, and Y is greater than 0 and smaller than 1.
7. An electronic device, wherein the electronic device comprises:
a memory to store instructions; and
a processor for invoking the memory stored instructions to perform the OTA platform hotel information adjustment method of any of claims 1 to 5.
8. A computer readable storage medium having stored therein instructions which, when executed by a processor, perform the OTA platform hotel information adjustment method of any one of claims 1 to 5.
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