CN111798261A - Information updating method and device - Google Patents
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Abstract
The embodiment of the disclosure discloses a method and a device for updating information. One embodiment of the method comprises: acquiring the current value and the historical order of the target object; obtaining a plurality of value intervals based on the current value of the target object and a preset rule, grouping the historical orders according to the value intervals, and generating a value set corresponding to each group; in response to the fact that a first value set exists in the value sets, selecting a first value in a first value interval corresponding to the first value set, updating value information of the target object, and acquiring an order of the target object generated at the first value so that the data volume in the first value set is not less than a preset threshold value; in response to determining that the first value set does not exist in the plurality of value sets, updating the value information of the target item based on the value intervals and the current value corresponding to the value sets. The method and the device solve the problem of inaccurate value information updating caused by insufficient historical data volume, and improve the income of the target object.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a method and a device for updating information.
Background
The rapid development of economy has brought about an increasing frequency in the trading activity of items, and the need for the assessment of the value (e.g. price) of an item has become more and more vigorous.
The related art item evaluation method often requires a large amount of history data, but the history data of a large number of items is not sufficient. For example, many items may have a small number of historical price adjustments or a small range of price adjustments, and may not have sufficient historical data. In the background of lack of historical data, the value information of the item cannot be accurately updated.
Disclosure of Invention
The embodiment of the disclosure provides a method and a device for updating information.
In a first aspect, an embodiment of the present disclosure provides an information updating method, where the method includes: acquiring the current value and the historical order of the target object; obtaining a plurality of value intervals based on the current value of the target object and a preset rule, grouping the historical orders according to the value intervals, and generating a value set corresponding to each group; in response to the fact that a first value set exists in the value sets, selecting a first value in a first value interval corresponding to the first value set, updating value information of the target object, and acquiring an order generated by the target object in the first value set so that the data volume in the first value set is not smaller than a preset threshold value, wherein the first value set is a value set of which the data volume is smaller than the preset threshold value; in response to determining that the first value set does not exist in the plurality of value sets, updating the value information of the target item based on the value intervals and the current value corresponding to the value sets.
In some embodiments, in response to determining that a first value set exists in the plurality of value sets, selecting a first value in a first value interval corresponding to the first value set, updating the value information for the target item, comprising: in response to determining that the first value set does not exist in the value sets, determining a target value set meeting a preset condition from the value sets based on each group of the historical orders; and updating the value information of the target item based on the value interval corresponding to the target value set and the current value.
In some embodiments, obtaining a plurality of value intervals based on the current value of the target item and a preset rule, grouping the historical orders according to the value intervals, and generating a value set corresponding to each group, includes: determining an adjustable value range of the target item based on the current value of the target item; dividing the adjustable value range into a plurality of value intervals according to a preset rule; based on the historical value contained in the historical order, dividing the historical order into historical order groups corresponding to all value intervals; for a value section among the plurality of value sections, a value set corresponding to the value section is generated using a history value included in the history order group corresponding to the value section.
In some embodiments, dividing the historical orders into historical order sets corresponding to value intervals based on historical values contained in the historical orders comprises: determining the historical average value of the historical orders in a unit time period based on the historical values contained in the historical orders; and dividing the historical orders into historical order groups corresponding to the value intervals by using the determined historical average value.
In some embodiments, updating value information for the target item based on the value interval and the current value corresponding to the target value set comprises: determining whether the current value belongs to a value interval corresponding to the target value set; if so, keeping the current value of the target object unchanged; if not, updating the value information of the target article based on the value interval corresponding to the target value set and the value interval corresponding to the current value by using a hypothesis testing mode.
In some embodiments, updating the value information of the target item based on the value interval corresponding to the target value set and the value interval corresponding to the current value using a hypothesis testing approach includes: judging whether the target value set meets a preset judgment condition of hypothesis testing or not by using a hypothesis testing mode, wherein the preset judgment condition is used for representing that the target value set does not meet a preset confidence index; if so, keeping the current value of the target object unchanged; if not, selecting the value from the value interval corresponding to the target value set to update the current value of the target item.
In some embodiments, in response to determining that a first value set exists in the plurality of value sets, selecting a first value in a first value interval corresponding to the first value set, updating the value information for the target item, comprising: in response to determining that at least two first value sets exist in the value sets, sorting the at least two first value intervals according to the distance between each first value interval and the value interval where the current value is located; and sequentially selecting a first value from the sorted first value intervals, and updating the value information of the target object.
In some embodiments, after updating the value information of the target item, the method further comprises: acquiring an order generated by a target object within a preset time period; and in response to determining that the acquired order does not meet the preset requirement, canceling the updated value information, and deleting the value interval in which the updated value is located.
In some embodiments, after keeping the current value of the target item unchanged, the method comprises: and in response to the fact that the value of the target object is not changed within the preset time length, selecting a second value from a second value interval to update the current value, wherein the second value interval is a value interval which does not contain the current value.
In a second aspect, an embodiment of the present disclosure provides an apparatus for updating information, the apparatus including: a first acquisition unit configured to acquire a current value and a historical order of a target item; the grouping unit is configured to obtain a plurality of value intervals based on the current value of the target object and a preset rule, group the historical orders according to the value intervals and generate a value set corresponding to each group; the first updating unit is configured to respond to the fact that a first value set exists in a plurality of value sets, select a first value in a first value interval corresponding to the first value set, update value information of the target object, and acquire an order generated by the target object at the first value, so that the data volume in the first value set is not smaller than a preset threshold value, wherein the first value set is a value set of which the data volume is smaller than the preset threshold value; a second updating unit configured to update the value information of the target item based on the value intervals corresponding to the value sets and the current value in response to determining that the first value set does not exist in the plurality of value sets.
In some embodiments, the second updating unit comprises: a first determination module configured to determine, based on each grouping of historical orders, a target value set satisfying a preset condition from among the value sets in response to determining that the first value set does not exist among the value sets; an update module configured to update value information of the target item based on the value interval corresponding to the target value set and the current value.
In some embodiments, the grouping unit comprises: a second determination module configured to determine an adjustable value range for the target item based on the current value of the target item; the dividing module is configured to divide the adjustable value range into a plurality of value intervals according to a preset rule; the grouping module is configured to divide the historical orders into historical order groups corresponding to the value intervals based on the historical values contained in the historical orders; and a generation module configured to generate a value set corresponding to a value section of the value sections by using the historical value included in the historical order set corresponding to the value section.
In some embodiments, the grouping module is further configured to: determining the historical average value of the historical orders in a unit time period based on the historical values contained in the historical orders; and dividing the historical orders into historical order groups corresponding to the value intervals by using the determined historical average value.
In some embodiments, the update module is further configured to: determining whether the current value belongs to a value interval corresponding to the target value set; if so, keeping the current value of the target object unchanged; if not, updating the value information of the target article based on the value interval corresponding to the target value set and the value interval corresponding to the current value by using a hypothesis testing mode.
In some embodiments, the update module is further configured to: judging whether the target value set meets a preset judgment condition of hypothesis testing or not by using a hypothesis testing mode, wherein the preset judgment condition is used for representing that the target value set does not meet a preset confidence index; if so, keeping the current value of the target object unchanged; if not, selecting the value from the value interval corresponding to the target value set to update the current value of the target item.
In some embodiments, the first update unit is further configured to: in response to determining that at least two first value sets exist in the value sets, sorting the at least two first value intervals according to the distance between each first value interval and the value interval where the current value is located; and sequentially selecting a first value from the sorted first value intervals, and updating the value information of the target object.
In some embodiments, the apparatus further comprises: a second acquisition unit configured to acquire an order generated by the target item within a preset time period; and the deleting unit is configured to cancel the updated value information and delete the value interval in which the updated value is positioned in response to the fact that the acquired order does not meet the preset requirement.
In some embodiments, the apparatus further comprises: and the third updating unit is configured to select a second price value from a second price value interval to update the current value in response to the fact that the value of the target object is not changed within the preset time length, wherein the second price value interval is a value interval which does not contain the current value.
The method and the device for updating information provided by the embodiment of the disclosure obtain a plurality of value intervals based on the current value of a target item and a preset rule by obtaining the current value and a history order of the target item, group the history orders according to the value intervals to generate a value set corresponding to each group, then select a first value from the first value intervals corresponding to the first value sets in response to determining that the first value sets exist in the plurality of value sets, update the value information of the target item, obtain an order generated by the target item at the first value so that the data volume in the first value sets is not less than a preset threshold value, and finally update the value information of the target item based on the value intervals corresponding to the value sets and the current value in response to determining that the first value sets do not exist in the plurality of value sets. The method for automatically updating the value information of the target object under two scenes of lack of historical data and sufficient historical data sets is provided, and the method for updating the value information of the lack of the historical data can also update supplementary data for the value information of the target object later, so that the target object can have sufficient data, the accuracy of updating the value information is improved, and the benefit of the target object is guaranteed.
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Other features, objects and advantages of the disclosure will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which some embodiments of the present disclosure may be applied;
FIG. 2 is a flow diagram for one embodiment of a method of information updating according to the present disclosure;
FIG. 3 is a flow diagram of one implementation of obtaining a value set in an information update method according to the present embodiment;
FIG. 4 is a flow diagram of yet another embodiment of a method of information updating according to the present disclosure;
FIG. 5 is a schematic block diagram illustrating one embodiment of an apparatus for information updating according to the present disclosure;
FIG. 6 is a schematic structural diagram of an electronic device suitable for use in implementing embodiments of the present disclosure.
Detailed Description
The present disclosure is described in further detail below with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 illustrates an exemplary system architecture 100 to which the method of information updating or the apparatus of information updating of embodiments of the present disclosure may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have various communication client applications installed thereon, such as a web browser application, a shopping application, a search application, an instant messaging tool, a mailbox client, social platform software, and the like.
The terminal apparatuses 101, 102, and 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices having a display screen and supporting functions of online shopping, web browsing, etc., including but not limited to smart phones, tablet computers, e-book readers, laptop portable computers, desktop computers, etc. When the terminal apparatuses 101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
The server 105 may be a server providing various services, such as a background server providing support for target items displayed on the terminal devices 101, 102, 103. The background server may analyze and otherwise process data such as a current value and a historical order of the target item, and feed back a processing result (e.g., updated value information) to the terminal device.
It should be noted that the method for updating information provided by the embodiment of the present disclosure may be executed by the terminal devices 101, 102, and 103, or may be executed by the server 105. Accordingly, the information updating device may be provided in the terminal apparatuses 101, 102, and 103, or may be provided in the server 105. And is not particularly limited herein.
The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules, for example, to provide distributed services, or as a single piece of software or software module. And is not particularly limited herein.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to FIG. 2, a flow 200 of one embodiment of a method of information updating in accordance with the present disclosure is shown. The information updating method comprises the following steps:
In this embodiment, for a target item for which the item value information is to be updated, an executive (e.g., the server shown in fig. 1) of the information updating method may obtain the current value and the historical order of the target item. It will be appreciated that the current value and historical order for the target item may be stored locally at the fulfillment host, or the fulfillment host may retrieve the current value and historical order for the target item from other devices. The historical orders may include historical value and historical transaction amount. The value of the target item may be a price displayed by the target item at the terminal. The value of the target item may include, but is not limited to, real currency, virtual currency (e.g., bitcoin), points of the e-commerce platform, without limitation. Further, the historical orders acquired by the execution main body may be orders generated within a preset historical time period, where the preset historical time period may be set according to the type characteristics of the target object. As an example, the target item is a class whose sales are affected by seasons, and the preset history period may be set to 90 days, that is, the execution subject described above may acquire a history order of the target item generated within the past 90 days.
In some optional implementation manners of this embodiment, the executive body may further filter the acquired historical orders, and delete the historical orders (for example, second order, sales promotion order) generated by the manual intervention value and the like from the historical orders, so that the orders generated by the manual intervention value and the like may be prevented from affecting the accuracy of updating the value information.
In this embodiment, the execution subject (e.g., the server shown in fig. 1) may obtain a plurality of value intervals based on the preset rule and the current value obtained in step 201. As an example, if the current value is a dividing point, one value section may be generated every other preset value, if the current value is 69, and the preset rule is to generate 4 value sections every 5 value sections, then (59, 64], (64, 69), (74, 79), (79, 84) may be obtained, and then, using the obtained value sections, the historical orders may be divided into different groups according to the historical prices displayed by the historical orders, thereby obtaining a value set corresponding to each value section, the value set may be composed of the historical prices included in the historical orders, as an example, if the historical price of the historical order is 66, the historical order may be divided into groups corresponding to the value sections (64, 69), and using the historical value of the historical order in the group corresponding to the value sections (64, 69), 69.
In this embodiment, based on the value sets obtained in step 202, the executing entity may determine whether the first value set exists in each value set. The first value set may be a value set in which the data amount in the value set is smaller than a preset threshold. If there is a first value set in the value sets, the execution body may select a first value from the first value interval, and update the current value with the selected first value. The first value interval may be a value interval corresponding to the first value set. Finally, the executing agent may collect orders generated by the target item at the selected first price value after updating the current value with the first price value. After the collected data of the order is added to the corresponding first value set, the data volume of the first value set can be made not less than the preset threshold, and at this time, the first value set is a common value set whose data volume meets the requirement. It is understood that if there are multiple first value sets in the multiple value sets, enough data can be collected by this step, so that each value set satisfies the requirement that the data amount is not less than the preset threshold.
In some optional implementations of this embodiment, if there are at least two first value sets in each value set, the executing entity may calculate the distance between each first value interval and the current value in various ways. For example, the execution subject may obtain a value having a smallest difference from the current value from each first value interval, and may subtract the obtained value from the current value, where the obtained difference may represent a distance between the first value interval in which the value is located and the current value. Then, the execution body may sort the first value intervals according to the distance between the first value intervals and the current value, so as to obtain a sequence of the first value intervals. And finally, selecting first values from the sorted first value intervals according to the sequence of the distances from small to large, updating the current value of the target in sequence, and acquiring orders of the target object generated under each first value. It is understood that each first value may set a start time and an end time of issuance of the first value when updating the current value, so that conflicts in each first value during updating may be avoided. The method provided by the implementation mode can ensure that the first price value of the first price value interval close to the current value can be preferentially issued, thereby avoiding the value information of the target object from greatly fluctuating and reducing the price adjusting risk.
And 204, in response to determining that the first value set does not exist in the value sets, updating the value information of the target item based on the value intervals and the current values corresponding to the value sets.
In this embodiment, when determining that the first value set does not exist in each value set, the executing entity may process each value interval and the current value by using an elastic price theory, so as to obtain value information for updating the current value of the target item. The execution subject may send the updated value information to the terminal device. It is understood that the reason for the absence of the first set of price values in each set of values may include two: there is no first value set in each value set obtained after the step 202 is completed; alternatively, the first value set originally exists in each value set obtained after the execution of step 202 is completed, but data is accumulated for the first value set after the execution of step 203 is completed, so that the first value set with the data amount smaller than the preset threshold value does not exist in each value set.
In some optional implementation manners of this embodiment, after updating the value information of the target item, the executing entity may further obtain an order generated by the target item within a preset time period, and then revoke the updated value information and delete the value interval in which the updated value is located in response to determining that the obtained order does not meet the preset requirement. Here, the preset requirement may be that the profit of the target item generated under the updated value information is greater than the preset profit, and if the profit of the target item under the updated value is less than or equal to the preset profit, it may be indicated that there is an obvious profit loss of the target item under the updated value, the updated value is an unreasonable value, and it is considered that other values in the value interval in which the value is located are unreasonable, and at this time, the value may be cancelled, and the value interval in which the value is located may be deleted at the same time. Further, if the reason that the order obtained by the target object under the updated value does not meet the preset requirement is that the updated value is too high, all the value intervals in which the order is greater than the updated value can be deleted.
The profit of the target item may be a profit of the target item, which may be calculated by the following formula: GP ═ P-C) × Q, where GP denotes the profit of the target item, P is the updated value, C is the cost of the target item, and Q is the sales volume of the target item. Alternatively, the profit of the target item may be the sales amount of the target item, and the sales amount of the target item may be calculated by the following formula: GMV denotes the sales of the target item, P is the updated value, and Q is the sales volume of the target item.
In some optional implementation manners of this embodiment, the execution subject may set a frequency of updating the value information, for example, may set to execute the information updating method provided by this application every 7 days to update the value information of the target item. Further, when the value of the target item (e.g., a brand promotion activity) needs to be manually set, the information updating method provided by the present application may be suspended until it is restarted when the value information of the target item needs to be automatically updated again.
In some alternative implementations, as shown in fig. 3, a flowchart 300 of one implementation of obtaining a value set in the information updating method of the present embodiment is shown. In step 202 in this embodiment, each value set may be obtained by:
In this implementation, the executing entity may process the current value of the target item in various ways, so as to determine the adjustable price range of the target item. The adjustable value range is the value adjustable range of the target item. As an example, the adjustable value range of the execution subject may be: [ P ]0×(1-r1)，P0×(1-r2)]Wherein P is0Representing the current value, r1Indicating a magnitude of depreciation, r2Represents a rising valence amplitude, and 0<r1<1、0<r2<1，P0Is a positive number. Of course, the adjustable value range may be determined in other ways, and not hereThere is a unique definition.
In this implementation, based on the adjustable value range obtained in step 301, the executing entity may divide the obtained adjustable value range into a plurality of value sections according to a preset rule. As an example, the value of the target item may be a price, the preset rule may be a price mantissa rule, for example, the price mantissa may be 5, 9, etc., the conditional interval may be [50, 69], and the divided value interval may be [50, 55], (55, 59], (59, 65], (65, 69) ], it is understood that a person skilled in the art may set the preset rule according to needs, and for example, the value intervals may be divided in an average manner.
In this implementation, the execution agent may generate a value set corresponding to each value section based on the value section obtained in step 302. Specifically, the executing entity may first determine a historical value (e.g., a historical price) included in the acquired historical orders, and then divide the historical orders into historical order groups corresponding to the value intervals according to the historical values of the historical orders.
In some alternative implementations, the execution subject may determine a historical average value of the historical order per unit time based on the obtained historical values of the historical orders. It will be appreciated that the unit time may be set by one skilled in the art according to actual needs, for example, the unit time may be days, and the executive may determine the historical average value of the target item per day. The executive may then divide the historical order into historical order sets corresponding to each value interval using the determined historical average value. The implementation may facilitate statistical analysis of historical order data by grouping historical orders in units of time such as days.
At step 304, a value set corresponding to the value section is generated for the value section among the plurality of value sections by using the historical values included in the historical order group corresponding to the value section.
In the present embodiment, the execution subject may process the historical value included in the history order group corresponding to the given value section in various ways for any one of the plurality of value sections, and may generate the value set corresponding to the value section. Alternatively, the executing entity may obtain the historical average value of the historical orders per day in a daily average manner, and the historical value in the value set may be the historical average value per day.
The method provided by the implementation mode can divide the value interval by setting the adjustable value range, and further group the historical orders according to the value interval, so that the rationality of grouping the historical orders is improved, the accuracy of updating the value information of the target object is further improved, and the income generated by the target object under the updated value is larger.
The method provided by the above embodiment of the present disclosure obtains a current value and a historical order of a target item, obtains a plurality of value intervals based on the current value and a preset rule of the target item, groups the historical orders according to the value intervals, generates a value set corresponding to each group, then selects a first value from the first value intervals corresponding to the first value sets in response to determining that the first value sets exist in the plurality of value sets, updates value information of the target item, obtains an order generated by the target item at the first value, so that the data amount in the first value sets is not less than a preset threshold value, and finally updates the value information of the target item based on the value intervals and the current value corresponding to the value sets in response to determining that the first value sets do not exist in the plurality of value sets. The method for automatically updating the value information of the target object under two scenes of lack of historical data and sufficient historical data sets is provided, and the method for updating the value information of the lack of the historical data can also update supplementary data for the value information of the target object later, so that the target object can have sufficient data, the accuracy of updating the value information is improved, and the benefit of the target object is guaranteed.
With further reference to fig. 4, a flow 400 of yet another embodiment of a method of information updating is shown. The process 400 of the information updating method includes the following steps:
In this embodiment, the content included in the steps 401 to 403 is similar to that in the steps 201 to 203 in the embodiment, and is not described again here.
In response to determining that the first value set does not exist in the plurality of value sets, a target value set satisfying a preset condition is determined from the value sets based on the groups of the historical orders, step 404.
In this embodiment, if it is determined that the first value set with the data amount smaller than the preset threshold does not exist in each value set, the executing entity may determine, based on the grouping of the historical orders, a target value set satisfying a preset condition from each value set. It will be appreciated that the preset conditions can be set by those skilled in the art according to actual needs. As an example, the preset condition may be that the average profit of the price set is the maximum. It is to be understood that each historical value included in the value set may be provided with identification information of the sales volume, for example, if the historical value in the value set is an average value per day, the identification information of the historical value may be the sales volume corresponding to the average value per day. The average profit can be calculated by the following formula:
wherein the content of the first and second substances,
representing the average revenue of the value set, n representing the number of historical values contained in the value set, PiA value, Q, representing the ith historical value in the value setiRepresenting the sales volume of the ith historical value in the value set.
In this embodiment, based on the target value set determined in step 404, the executing entity may update the value information of the target item based on the value interval corresponding to the target value set and the current value. As an example, the executing entity may directly select a value from the value interval corresponding to the determined target value set to update the current value of the target item, for example, select the maximum value from the value interval corresponding to the target value set to update the current value of the target item.
In some optional implementation manners of this embodiment, the executing entity may further process the value interval and the current value corresponding to the target value set by: determining whether the current value belongs to a value interval corresponding to the target value set; if so, keeping the current value of the target object unchanged; if not, updating the value information of the target article based on the value interval corresponding to the target value set and the value interval corresponding to the current value by using a hypothesis testing mode. The realization method can further improve the accuracy of the updated value information in a current value judgment mode, and improve the income of the target object.
In some optional implementations of the embodiment, the executing entity may further determine whether the target value set satisfies a preset determination condition of hypothesis testing by using a hypothesis testing method. Here, a preset determination condition may be used to represent that the target value set does not satisfy a preset confidence index. The preset judgment condition can be that the average income from the target value set is less than that of the value set of the current value, and the confidence level of the hypothesis test can be set to be 0.8-0.9. If the outcome of the test is assumed to be rejected (i.e., the average return of the target value set is significantly greater than the average return of the value set in which the current value is located), then a value (e.g., the maximum value) may be selected from the value interval corresponding to the target value set to update the current value of the target item. If the result of the test is assumed to be not rejected, the current value of the target item may be kept unchanged. The realization method can control the unreliability brought by the randomness, so that the finally determined updated value information is the optimal value information, and the accuracy of the updated value information is further improved.
In some optional implementations of this embodiment, after keeping the current value of the target item unchanged, the executing entity may further determine whether the value of the target item is kept unchanged for a preset time period. If yes, the second value can be selected from the second value interval to update the current value. Wherein the second value interval is a value interval that does not include the current value. The implementation mode can avoid the price solidification of the target object and better meet the pricing requirement of the target object.
As can be seen from fig. 4, compared with the embodiment corresponding to fig. 2, the process 400 of the information updating method in this embodiment may select the target value set from each value set, and then determine the updated value information by using the value interval corresponding to the target value set and the current value, so as to narrow the range of obtaining the updated value information and further improve the accuracy of the updated value information.
With further reference to fig. 5, as an implementation of the methods shown in the above-mentioned figures, the present disclosure provides an embodiment of a method and apparatus for information updating, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be specifically applied to various electronic devices.
As shown in fig. 5, the method and apparatus 500 for updating information of this embodiment includes: a first obtaining unit 501, a grouping unit 502, a first updating unit 503 and a second updating unit 504. The first obtaining unit is configured to obtain a current value and a historical order of the target item; the grouping unit is configured to obtain a plurality of value intervals based on the current value of the target object and a preset rule, group the historical orders according to the value intervals and generate a value set corresponding to each group; the first updating unit is configured to respond to the fact that a first value set exists in a plurality of value sets, select a first value in a first value interval corresponding to the first value set, update value information of the target object, and acquire an order generated by the target object at the first value, so that the data volume in the first value set is not smaller than a preset threshold value, wherein the first value set is a value set of which the data volume is smaller than the preset threshold value; a second updating unit configured to update the value information of the target item based on the value intervals corresponding to the value sets and the current value in response to determining that the first value set does not exist in the plurality of value sets.
In some optional implementations of the present embodiment, the second updating unit 504 includes: a first determination module configured to determine, based on each grouping of historical orders, a target value set satisfying a preset condition from among the value sets in response to determining that the first value set does not exist among the value sets; an update module configured to update value information of the target item based on the value interval corresponding to the target value set and the current value.
In some optional implementations of this embodiment, the grouping unit 502 includes: a second determination module configured to determine an adjustable value range for the target item based on the current value of the target item; the dividing module is configured to divide the adjustable value range into a plurality of value intervals according to a preset rule; the grouping module is configured to divide the historical orders into historical order groups corresponding to the value intervals based on the historical values contained in the historical orders; and a generation module configured to generate a value set corresponding to a value section of the value sections by using the historical value included in the historical order set corresponding to the value section.
In some optional implementations of this embodiment, the grouping module is further configured to: determining the historical average value of the historical orders in a unit time period based on the historical values contained in the historical orders; and dividing the historical orders into historical order groups corresponding to the value intervals by using the determined historical average value.
In some optional implementations of this embodiment, the update module is further configured to: determining whether the current value belongs to a value interval corresponding to the target value set; if so, keeping the current value of the target object unchanged; if not, updating the value information of the target article based on the value interval corresponding to the target value set and the value interval corresponding to the current value by using a hypothesis testing mode.
In some optional implementations of this embodiment, the update module is further configured to: judging whether the target value set meets a preset judgment condition of hypothesis testing or not by using a hypothesis testing mode, wherein the preset judgment condition is used for representing that the target value set does not meet a preset confidence index; if so, keeping the current value of the target object unchanged; if not, selecting the value from the value interval corresponding to the target value set to update the current value of the target item.
In some optional implementations of the present embodiment, the first updating unit 503 is further configured to: in response to determining that at least two first value sets exist in the value sets, sorting the at least two first value intervals according to the distance between each first value interval and the value interval where the current value is located; and sequentially selecting a first value from the sorted first value intervals, and updating the value information of the target object.
In some optional implementations of this embodiment, the apparatus 500 further includes: a second acquisition unit configured to acquire an order generated by the target item within a preset time period; and the deleting unit is configured to cancel the updated value information and delete the value interval in which the updated value is positioned in response to the fact that the acquired order does not meet the preset requirement.
In some optional implementations of this embodiment, the apparatus 500 further includes: and the third updating unit is configured to select a second price value from a second price value interval to update the current value in response to the fact that the value of the target object is not changed within the preset time length, wherein the second price value interval is a value interval which does not contain the current value.
The units recited in the apparatus 500 correspond to the various steps in the method described with reference to fig. 2. Thus, the operations and features described above for the method are equally applicable to the apparatus 500 and the units included therein, and are not described in detail here.
Referring now to FIG. 6, a schematic diagram of an electronic device (e.g., the server of FIG. 1) 600 suitable for use in implementing embodiments of the present disclosure is shown. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 6, electronic device 600 may include a processing means (e.g., central processing unit, graphics processor, etc.) 601 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data necessary for the operation of the electronic apparatus 600 are also stored. The processing device 601, the ROM 602, and the RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
Generally, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 illustrates an electronic device 600 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 6 may represent one device or may represent multiple devices as desired.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 609, or may be installed from the storage means 608, or may be installed from the ROM 602. The computer program, when executed by the processing device 601, performs the above-described functions defined in the methods of embodiments of the present disclosure. It should be noted that the computer readable medium described in the embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In embodiments of the present disclosure, however, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring the current value and the historical order of the target object; obtaining a plurality of value intervals based on the current value of the target object and a preset rule, grouping the historical orders according to the value intervals, and generating a value set corresponding to each group; in response to the fact that a first value set exists in the value sets, selecting a first value in a first value interval corresponding to the first value set, updating value information of the target object, and acquiring an order generated by the target object in the first value set so that the data volume in the first value set is not smaller than a preset threshold value, wherein the first value set is a value set of which the data volume is smaller than the preset threshold value; in response to determining that the first value set does not exist in the plurality of value sets, updating the value information of the target item based on the value intervals and the current value corresponding to the value sets.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a first acquisition unit, a grouping unit, a first update unit, and a second update unit. Where the names of these units do not in some cases constitute a limitation on the units themselves, for example, the first acquiring unit may also be described as a "unit acquiring the current value and historical order of the target item".
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (12)
1. A method of information updating, comprising:
acquiring the current value and the historical order of the target object;
obtaining a plurality of value intervals based on the current value of the target object and a preset rule, grouping the historical orders according to the value intervals, and generating a value set corresponding to each group;
in response to determining that a first value set exists in the value sets, selecting a first value in a first value interval corresponding to the first value set, updating the value information of the target item, and acquiring an order generated by the target item at the first value, so that the data volume in the first value set is not less than a preset threshold value, wherein the first value set is a value set of which the data volume is less than the preset threshold value;
in response to determining that the first value set does not exist in the plurality of value sets, updating value information for the target item based on a value interval corresponding to each of the value sets and the current value.
2. The method of claim 1, wherein updating the value information of the target item in response to determining that a first set of values exists among the plurality of value sets, selecting a first value in a first value interval corresponding to the first set of values, comprises:
in response to determining that the first set of price values does not exist in the plurality of value sets, determining a target value set satisfying a preset condition from the value sets based on the groups of the historical orders;
updating the value information of the target item based on the value interval corresponding to the target value set and the current value.
3. The method of claim 1, wherein the obtaining a plurality of value intervals based on the current value of the target item and a preset rule, grouping the historical orders according to the value intervals, and generating a value set corresponding to each group comprises:
determining an adjustable value range of the target item based on the current value of the target item;
dividing the adjustable value range into a plurality of value intervals according to a preset rule;
based on the historical value contained in the historical order, dividing the historical order into historical order groups corresponding to the value intervals;
and generating a value set corresponding to the value section by using the historical value contained in the historical order group corresponding to the value section aiming at the value section in the value sections.
4. The method of claim 3, wherein the dividing the historical order into historical order sets corresponding to the value intervals based on the historical values contained in the historical order comprises:
determining the historical average value of the historical orders in a unit time period based on the historical values contained in the historical orders;
and dividing the historical orders into historical order groups corresponding to the value intervals by using the determined historical average value.
5. The method of claim 2, wherein said updating value information for the target item based on the value interval corresponding to the target value set and the current value comprises:
determining whether the current value belongs to a value interval corresponding to the target value set;
if so, keeping the current value of the target item unchanged;
and if not, updating the value information of the target article based on the value interval corresponding to the target value set and the value interval corresponding to the current value by using a hypothesis testing mode.
6. The method of claim 5, wherein updating the value information of the target item based on the value interval corresponding to the target value set and the value interval corresponding to the current value using hypothesis testing comprises:
judging whether the target value set meets a preset judgment condition of hypothesis test or not by using the hypothesis test mode, wherein the preset judgment condition is used for representing that the target value set does not meet a preset confidence index;
if so, keeping the current value of the target item unchanged;
and if not, selecting a value from the value interval corresponding to the target value set to update the current value of the target item.
7. The method of claim 1, wherein updating the value information of the target item in response to determining that a first set of values exists among the plurality of value sets, selecting a first value in a first value interval corresponding to the first set of values, comprises:
in response to determining that at least two first value sets exist in the value sets, sorting the at least two first value intervals according to the distance between each first value interval and the value interval in which the current value exists;
and sequentially selecting a first value from the sorted first value intervals, and updating the value information of the target object.
8. The method of claim 1, wherein after updating the value information of the target item, the method further comprises:
acquiring an order generated by the target object within a preset time period;
and in response to determining that the acquired order does not meet the preset requirement, canceling the updated value information, and deleting the value interval in which the updated value is located.
9. The method of claim 5 or 6, wherein after keeping the current value of the target item unchanged, the method comprises:
and in response to the fact that the value of the target object is not changed within the preset time length, selecting a second value from a second value interval to update the current value, wherein the second value interval is a value interval which does not contain the current value.
10. An apparatus for information updating, comprising:
a first acquisition unit configured to acquire a current value and a historical order of a target item;
the grouping unit is configured to obtain a plurality of value intervals based on the current value of the target object and a preset rule, group the historical orders according to the value intervals, and generate a value set corresponding to each group;
the first updating unit is configured to respond to the fact that a first value set exists in the value sets, select a first value in a first value interval corresponding to the first value set, update value information of the target object, and acquire an order generated by the target object at the first value, so that the data quantity in the first value set is not less than a preset threshold value, wherein the first value set is a value set of which the data quantity is less than a preset threshold value;
a second updating unit configured to update the value information of the target item based on a value interval corresponding to each of the value sets and the current value in response to determining that the first value set does not exist in the plurality of value sets.
11. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-9.
12. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-9.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113554385A (en) * | 2021-05-27 | 2021-10-26 | 北京每日优鲜电子商务有限公司 | Distribution robot control method, distribution robot control device, electronic equipment and computer readable medium |
| CN113763097A (en) * | 2020-12-14 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Method and device for updating article information |
| CN113988923A (en) * | 2021-10-27 | 2022-01-28 | 北京百度网讯科技有限公司 | Method, device, equipment and storage medium for determining information |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120323822A1 (en) * | 2010-01-04 | 2012-12-20 | Ebay Inc. | System and method for adaptive item pricing |
| WO2016169100A1 (en) * | 2015-04-21 | 2016-10-27 | 陈博 | Electronic payment method, device and system on the basis of price adjustment |
| CN109685540A (en) * | 2018-08-31 | 2019-04-26 | 深圳壹账通智能科技有限公司 | Electric business platform and its commercial promotions control method, equipment, readable storage medium storing program for executing |
| CN109785072A (en) * | 2019-01-23 | 2019-05-21 | 北京京东尚科信息技术有限公司 | Method and apparatus for generating information |
| CN110084643A (en) * | 2019-04-24 | 2019-08-02 | 广州市巴图鲁信息科技有限公司 | A kind of merchandise valuation method and device based on historical trading distribution |
| CN110400184A (en) * | 2019-07-31 | 2019-11-01 | 北京百度网讯科技有限公司 | Method and apparatus for generating information |
| CN110415004A (en) * | 2018-04-27 | 2019-11-05 | 杉数科技(北京)有限公司 | For determining the method and device of merchandise valuation |
| CN110458622A (en) * | 2019-08-14 | 2019-11-15 | 金瓜子科技发展（北京）有限公司 | Price determines method, apparatus and server |
| CN110633840A (en) * | 2019-08-08 | 2019-12-31 | 卓尔智联(武汉)研究院有限公司 | Data processing method, device and storage medium |
| CN110874775A (en) * | 2018-08-30 | 2020-03-10 | 中兴通讯股份有限公司 | Commodity pushing method and device, equipment and storage medium |
-
2020
- 2020-03-24 CN CN202010211631.3A patent/CN111798261A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120323822A1 (en) * | 2010-01-04 | 2012-12-20 | Ebay Inc. | System and method for adaptive item pricing |
| WO2016169100A1 (en) * | 2015-04-21 | 2016-10-27 | 陈博 | Electronic payment method, device and system on the basis of price adjustment |
| CN110415004A (en) * | 2018-04-27 | 2019-11-05 | 杉数科技(北京)有限公司 | For determining the method and device of merchandise valuation |
| CN110874775A (en) * | 2018-08-30 | 2020-03-10 | 中兴通讯股份有限公司 | Commodity pushing method and device, equipment and storage medium |
| CN109685540A (en) * | 2018-08-31 | 2019-04-26 | 深圳壹账通智能科技有限公司 | Electric business platform and its commercial promotions control method, equipment, readable storage medium storing program for executing |
| CN109785072A (en) * | 2019-01-23 | 2019-05-21 | 北京京东尚科信息技术有限公司 | Method and apparatus for generating information |
| CN110084643A (en) * | 2019-04-24 | 2019-08-02 | 广州市巴图鲁信息科技有限公司 | A kind of merchandise valuation method and device based on historical trading distribution |
| CN110400184A (en) * | 2019-07-31 | 2019-11-01 | 北京百度网讯科技有限公司 | Method and apparatus for generating information |
| CN110633840A (en) * | 2019-08-08 | 2019-12-31 | 卓尔智联(武汉)研究院有限公司 | Data processing method, device and storage medium |
| CN110458622A (en) * | 2019-08-14 | 2019-11-15 | 金瓜子科技发展（北京）有限公司 | Price determines method, apparatus and server |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113763097A (en) * | 2020-12-14 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Method and device for updating article information |
| CN113554385A (en) * | 2021-05-27 | 2021-10-26 | 北京每日优鲜电子商务有限公司 | Distribution robot control method, distribution robot control device, electronic equipment and computer readable medium |
| CN113554385B (en) * | 2021-05-27 | 2024-01-05 | 广东中顺信息科技有限公司 | Distribution robot control method, distribution robot control device, electronic equipment and computer readable medium |
| CN113988923A (en) * | 2021-10-27 | 2022-01-28 | 北京百度网讯科技有限公司 | Method, device, equipment and storage medium for determining information |
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