CN112258244A

CN112258244A - Method, device, equipment and storage medium for determining task of target object

Info

Publication number: CN112258244A
Application number: CN202011233282.1A
Authority: CN
Inventors: 黄志华
Original assignee: Weiyiyun Hangzhou Holding Co ltd
Current assignee: Weiyiyun Hangzhou Holding Co ltd
Priority date: 2020-11-06
Filing date: 2020-11-06
Publication date: 2021-01-22
Anticipated expiration: 2040-11-06
Also published as: CN112258244B

Abstract

The embodiment of the invention discloses a method, a device, equipment and a storage medium for determining a task to which a target object belongs, wherein the method comprises the following steps: determining at least one item attribute information of a target item, and respectively determining an attribute identifier of each item attribute information; aiming at an attribute identifier corresponding to each item attribute information, acquiring a task to be processed corresponding to a current attribute identifier from a pre-established data structure corresponding to the current attribute identifier; and determining a target task corresponding to the target object according to the to-be-processed task corresponding to each attribute identifier. The technical scheme of the embodiment of the invention solves the problems of high matching complexity and low matching efficiency and the problem of poor universality of the platform built-in task determination function when a one-by-one matching mode is adopted, achieves the technical effect of reducing the matching complexity and further improving the matching efficiency, and can improve the universality in a component form.

Description

Method, device, equipment and storage medium for determining task of target object

Technical Field

The embodiments of the present invention relate to data structure technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining a task to which a target object belongs.

Background

The e-commerce platform can hold the activities at irregular intervals, so that the user can determine the activities corresponding to the articles when selecting the corresponding articles, and the purpose of saving is achieved.

At present, different activities correspond to a series of articles respectively, and when determining an activity that a certain article can participate in, matching needs to be performed one by one from an activity library according to an article identifier.

However, the activity library not only includes the article types, but also includes the merchant types, the article types, and the like, that is, the content stored in the activity library is more, and when a one-by-one matching mode is adopted, the matching complexity is higher, and the matching efficiency is lower.

In addition, currently, a corresponding activity library needs to be downloaded on each terminal, and when a fault occurs in the operation process, the activity information in which an article participates cannot be further determined, so that the technical problem of poor universality exists.

Disclosure of Invention

The invention provides a method, a device, equipment and a storage medium for determining a task to which a target object belongs, so as to respectively determine a task to be processed according to attribute information of each object and further determine the target task, thereby improving the speed of determining the target task and enhancing the technical effect of universality.

In a first aspect, an embodiment of the present invention provides a method for determining a task to which a target item belongs, including:

determining at least one item attribute information of a target item, and respectively determining an attribute identifier of each item attribute information; the at least one item attribute information comprises an item class of the target item, a direct object to which the target item belongs, a brand object to which the target item belongs, and a responsible object to which the target item belongs; the article class, the direct object, the brand object and the responsible object are different in corresponding attribute class;

aiming at an attribute identifier corresponding to each item attribute information, acquiring a task to be processed corresponding to a current attribute identifier from a pre-established data structure corresponding to the current attribute identifier; the data structure comprises tasks corresponding to the attribute information of the articles with the same attribute category;

and determining a target task corresponding to the target object according to the to-be-processed task corresponding to each attribute identifier.

In a second aspect, an embodiment of the present invention further provides an apparatus for determining a task to which a target item belongs, including:

the attribute identification determining module is used for determining at least one item attribute information of the target item and respectively determining the attribute identification of each item attribute information; the at least one item attribute information comprises an item class of the target item, a direct object to which the target item belongs, a brand object to which the target item belongs, and a responsible object to which the target item belongs; the article class, the direct object, the brand object and the responsible object are different in corresponding attribute class;

the to-be-processed task acquisition module is used for acquiring a to-be-processed task corresponding to the current attribute identifier from a pre-established data structure corresponding to the current attribute identifier aiming at the attribute identifier corresponding to each item attribute information; the data structure comprises tasks corresponding to the attribute information of the articles with the same attribute category;

and the target task determining module is used for determining a target task corresponding to the target object according to the to-be-processed task corresponding to each attribute identifier.

In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement a method for determining a task to which a target item belongs according to any one of embodiments of the present invention.

In a fourth aspect, embodiments of the present invention also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are used to perform a method for determining a task to which a target item belongs according to any one of the embodiments of the present invention.

According to the technical scheme of the embodiment of the invention, the target task is determined by determining the attribute information and the attribute identification of the target object and acquiring the task to be processed from the pre-established data structure corresponding to the attribute identification, so that the problems of high matching complexity and low matching efficiency and poor universality of the platform built-in task determination function in a one-by-one matching mode are solved, the technical effect of reducing the matching complexity and improving the matching efficiency is achieved, and the universality can be improved in a component form.

Drawings

In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, a brief description is given below of the drawings used in describing the embodiments. It should be clear that the described figures are only views of some of the embodiments of the invention to be described, not all, and that for a person skilled in the art, other figures can be derived from these figures without inventive effort.

Fig. 1 is a flowchart illustrating a method for determining a task to which a target item belongs according to a first embodiment of the present invention;

fig. 2 is a flowchart illustrating a method for determining a task to which a target item belongs according to a second embodiment of the present invention;

fig. 3 is a schematic diagram illustrating a corresponding representation manner of mask information and attribute types according to a second embodiment of the present invention;

FIG. 4 is a diagram illustrating the result of determining the task according to the target item category according to the second embodiment of the present invention;

fig. 5 is a schematic structural diagram of an apparatus for determining a task to which a target item belongs according to a third embodiment of the present invention;

fig. 6 is a schematic structural diagram of an assembly for determining a task to which a target item belongs according to a third embodiment of the present invention;

fig. 7 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.

Example one

Fig. 1 is a flowchart of a method for determining a task to which a target item belongs according to an embodiment of the present invention, which is applicable to a case where a target task is determined according to item attribute information of a target item, for example, when a user triggers a target item, a corresponding attribute identifier is determined according to attribute information corresponding to the target item, and then an activity corresponding to the target item, that is, a target task, is called based on the attribute identifier.

Before the technical scheme of the embodiment of the invention is introduced, the following application scenarios are simply introduced. Currently, a user may purchase an item on an e-commerce platform and engage in an activity related to the item to achieve a cost savings goal. Therefore, the method for determining the task to which the target object belongs in the embodiment can be applied to the e-commerce platform. In order to improve the universality of the method, the method for determining the task to which the target object belongs can be packaged in the component, and can be connected to the e-commerce platform in a plug-in mode.

As shown in fig. 1, the method of this embodiment specifically includes the following steps:

s110, determining at least one item attribute information of the target item, and respectively determining an attribute identifier of each item attribute information.

In this embodiment, an article triggered by a user is taken as the target article, that is, the target article is an article triggered by the user. Each item may have a plurality of item attribute information. The item attribute information is information related to the item, including an item class, a direct object, a brand object, and a responsible object. For example, the article type is information for uniquely identifying the article, and may be minimum unit category information of the article, and all upper category information including the article type may also be determined according to the article type, for example: if the article class is washing machine a, the target article can be determined to belong to the washing machine, and further the target article can be determined to belong to the appliance class. The direct object is a store selling the item, the brand object is a brand to which the item belongs, and the responsible object is a merchant selling the item. The item class of each item and the direct object to which the item belongs, the brand object and the responsible object are all unique, and the item class, the direct object, the brand object and the responsible object are 4 different attribute categories. The attribute identifier corresponds to the item attribute information one to one, for example: if the article class of the target article is washing machine a, the attribute flag corresponding to the article class of target article a is aaa, the direct object to which target article a belongs is B, the attribute flag bbb corresponding to direct object B, and so on.

Specifically, when a user triggers a control corresponding to an article on an article display interface, the article can be used as a target article, and the article type of the target article is obtained, so that information such as a merchant, a shop, a brand and the like to which the target article belongs can be determined according to the article type. According to the article type of the target article and the merchant, shop and brand to which the target article belongs, the article attribute identification corresponding to each attribute information can be respectively obtained from the pre-established association relation table of the article attribute information and the attribute identification.

And S120, aiming at the attribute identifier corresponding to each item attribute information, acquiring the task to be processed corresponding to the current attribute identifier from the pre-established data structure corresponding to the current attribute identifier.

The data structure stores a plurality of attribute categories, and for example, the direct object, the responsible object, and the like in the attribute information may be respectively regarded as one attribute category. Multiple tasks can be stored under each attribute category, for example, if the attribute category to which the direct object belongs is a, multiple tasks can be stored under a, and the attribute identifications of each task are different. The advantage of setting multiple attribute categories is that: the task to be processed corresponding to the article attribute identification can be conveniently determined according to the article attribute category corresponding to the article attribute identification. And the task to be processed is a task corresponding to the attribute identifier, which is acquired from the attribute category to which the attribute identifier belongs according to the attribute identifier. The specific implementation mode of the method can refer to the step, and if the target object is executed in sequence, the step can be executed repeatedly.

Specifically, an attribute identifier corresponding to the article attribute information of the target article is obtained, and an attribute category corresponding to the attribute identifier is determined according to the attribute identifier. And determining the task to be processed corresponding to the attribute identification in the attribute category corresponding to the attribute identification.

It should be noted that the attribute category does not include all attribute identifiers, and if the attribute category does not include any attribute identifier, it indicates that the attribute identifier does not correspond to any task to be processed. Meanwhile, there may be a plurality of tasks to be processed corresponding to the attribute identifier in each attribute category. For example: if the brand object type does not contain the brand object A, indicating that the task to be processed corresponding to the brand object A does not exist; if the tasks corresponding to the direct object B in the direct object category are task P and task Q, it may be determined that the to-be-processed tasks corresponding to the direct object B are P and Q.

Optionally, the index of the attribute category corresponding to each item attribute information may also be stored in an array to facilitate searching. For example: the elements in the array may be represented in binary form, e.g., 00000000, with different locations representing different attribute categories, e.g., 00000001, representing the attribute category as an item category. To facilitate management of the information stored under each attribute category, the corresponding attribute category may be characterized by adjusting the numbers at different locations. The attribute categories corresponding to the index information of each position may be a category associated with the platform, an item category, a direct object, a brand object, a superior item category responsible for the object and the item category, respectively. The associated category of the platform refers to a category to which tasks involving all articles in the platform belong, and the superior category of the article category refers to a primary category of the article, such as: clothing, accessories, home furnishing, mother and infant and the like.

And S130, determining a target task corresponding to the target object according to the to-be-processed task corresponding to each attribute identifier.

The target task is a task corresponding to the target object, and the specific determination may be a task obtained by combining and filtering the to-be-processed tasks corresponding to the attribute identifiers.

It should be noted that the to-be-processed tasks corresponding to different attribute identifiers may be the same or different, and if the to-be-processed tasks are the same, the to-be-processed tasks may be merged and filtered in order to clearly feed back the corresponding target task to the user.

For a clear understanding of how to merge and filter the tasks to be processed, a specific example can be taken as an example, as follows: the merging process may be: the direct object corresponding to the target object A is B, the attribute identifier is bbb, the brand object corresponding to the target object A is C, the attribute identifier is ccc, the task to be processed determined according to the attribute identifier bbb comprises a task D, the task to be processed determined according to the attribute identifier ccc also comprises the task D, and then two identical tasks D to be processed are determined as a target task D; the filtering process may be: the direct object of the target article A is B, the attribute mark is bbb, the determined task to be processed is task C, and the rejection content in the task C contains information that the article A does not participate in the task, so that the task C to be processed can be filtered. The removed content may be represented in a text form or in an attribute identifier form, which is not specifically limited in this embodiment.

Further, the merged and filtered tasks are determined as target tasks, and the target tasks are fed back to the target terminal, so that a user can trigger and select the fed-back target tasks on the target terminal, and thus the user can participate in corresponding activities.

According to the technical scheme, the to-be-processed task is acquired from the pre-established data structure corresponding to the attribute identification by determining the attribute information and the attribute identification of the target object, so that the target task is determined, the problems that the matching complexity is high, the matching efficiency is low and the universality of the built-in task determination function of the platform is poor when a one-by-one matching mode is adopted are solved, the technical effect of reducing the matching complexity and improving the matching efficiency is achieved, and the universality can be improved in a component form.

Example two

Fig. 2 is a flowchart illustrating a method for determining a task to which a target item belongs according to a second embodiment of the present invention. On the basis of the technical scheme, the establishment of the data structure and the determination of the target task are further optimized. Wherein explanations of the same or corresponding terms as those of the above embodiments are omitted.

As shown in fig. 2, the method of this embodiment includes:

s210, determining at least one item attribute information of the target item, and respectively determining an attribute identifier of each item attribute information.

Specifically, the article attribute information corresponding to the target article may be determined according to the target article, and the article attribute information includes: item class, direct object, brand object, and responsible object. And determining corresponding attribute identification according to the attribute information corresponding to the article.

Optionally, S210 may include the following steps:

step one, when the target article control is detected to be triggered, the article type of the target article is obtained.

Wherein the target item control is a control corresponding to the target item.

Specifically, a user can select an article on a platform interface, the platform interface includes the article and a control corresponding to the article, the user can select by triggering the control corresponding to the target article and take the selected article as the target article, and when the control corresponding to the target article is triggered, the article type of the target article can be obtained. The method for acquiring the article type may be to call the article type from a preset storage space, or may be determined according to a pre-established association relationship between the article control and the article.

And step two, according to the article class, determining a direct object containing the article class, a responsible object containing the article class and a brand object containing the article class.

It should be noted that, the correspondence relationship between the item class and the direct object including the item class, the responsible object including the item class, and the brand object including the item class may be established in advance, so that when the trigger target item is detected, the corresponding attribute information is called from the correspondence relationship according to the item class of the target item.

Specifically, according to the acquired article type corresponding to the target article, each attribute information corresponding to the target article type may be determined from the correspondence between the article type and the article attribute information that is established in advance. Optionally, the method for determining the direct object containing the item class, the responsible object containing the item class, and the brand object containing the item class may further obtain related information of the item according to the item class of the target item, such as a name of the item and detailed information of the item, and extracting the keyword from the related information may obtain the direct object containing the item class, the responsible object containing the item class, and the brand object containing the item class.

And step three, taking the direct object, the article class, the responsible object and the brand object as the attribute information of the target article, and respectively determining the attribute identification corresponding to each content in the attribute information.

Specifically, the determined item class of the target item, and the direct object, the brand object, and the responsible object including the item class of the target item are used as the attribute information of the target item. Further, the attribute identifier corresponding to the attribute information may be determined according to the attribute information, and may be determined according to a pre-established association relationship between the attribute information and the attribute identifier. In order to facilitate the determination of the attribute identifier, the association relationship between the attribute information and the attribute identifier may be stored according to different attribute categories.

For example, when it is detected that the user triggers the control corresponding to the target item a, it may be determined that the item class corresponding to the target item a is B according to the target item a, further, it may be determined that the direct object corresponding to the item class B is C, the brand object is D, and the responsible object is E according to the item class B, then, according to the above information, it may further determine the attribute identifier corresponding to each item attribute information from the association relationship between the attribute information and the attribute identifier, where the identifier corresponding to the item class B is 12a34B, the identifier corresponding to the direct object C is 25C78D, the identifier corresponding to the brand object D is 56E84f, and the identifier corresponding to the responsible object E is 62g68 h.

S220, determining current mask information corresponding to the current attribute identifier according to each attribute identifier, and acquiring the to-be-processed task corresponding to the current attribute identifier from a data structure corresponding to the current mask information.

The mask information corresponds to the attribute categories and is used for representing the corresponding attribute categories. For example: the mask information of the attribute type corresponding to the direct object is 00000010, and the mask information of the attribute type corresponding to the brand object is 00000100. The corresponding representation of the mask information and the attribute category may be as shown in fig. 3. The mask information corresponding to the attribute category is stored in an index array with a length of 17, which can be used as a main directory when determining a target task, elements in the array can be represented in a binary form, such as 00000000, and different positions represent different attribute categories. To facilitate management of the information stored under each attribute category, the corresponding attribute category may be characterized by adjusting the numbers at different locations.

Before the task to be processed corresponding to the current attribute identification is acquired from the data structure, the data structure including the task needs to be established.

Alternatively, the establishment of the data structure including the task may be established as follows.

And determining each attribute identifier to be stored belonging to the current attribute category aiming at each attribute category, storing each attribute identifier to be stored into an index list corresponding to the current attribute category in a data structure, storing the task to be stored corresponding to each attribute identifier to a target position, and calling the task stored in the target storage position according to the attribute identifier. And determining a data structure comprising the task based on the index list corresponding to each attribute category.

The task to be stored is a task corresponding to the attribute identifier to be stored, namely the task to be stored in the data structure. Specifically, the task to be stored includes an execution mode for executing the task to be stored and a screening condition for executing the task to be stored, where the execution mode is information related to task execution, for example: when the task corresponds to the purchased article, the execution mode of the task can be discount and the like, the screening condition can include relevant information of the removed content, and the removed content is used for indicating the attribute information of the article which does not participate in the task to be processed corresponding to the attribute identification. The target location can be high in the clouds and/or local, and the benefit of using the high in the clouds as target location lies in can saving a large amount of data, and scalability is strong, and the benefit of using the local target location lies in need not to communicate with the external world and can seek the task, and it is fast to seek, in order to combine the advantage of the two, also can be with task storage to local to regularly update according to the task of high in the clouds.

Specifically, the to-be-stored identifier included in each attribute category may be stored in a data structure corresponding to the attribute category, and the to-be-stored attribute identifier and the to-be-stored task may be stored correspondingly. Preferably, the storage mode may be to store the index list corresponding to the attribute category, and the use of the index list has an advantage of improving the efficiency of searching for the task. The attribute identifications to be stored in each attribute category may be stored as indices into an index list, which indices are capable of providing pointers to tasks to be stored. The storage location of the task to be stored pointed by the pointer may be cloud and/or local, and the specific storage location may be set according to user requirements. Further, the data structure including the task may be determined according to the index list corresponding to each attribute category.

Optionally, the task to be stored may further include mask information corresponding to the task to be stored, and the advantage of including the mask information is that the tasks to be stored in the same execution manner and the same screening condition can be merged to save the storage space. The specific method comprises the following steps:

step one, when detecting that the execution modes and the screening conditions corresponding to a plurality of tasks to be stored are the same, combining the plurality of tasks to be stored into one task to be stored, and associating the task to be stored with the storage attribute identifications corresponding to the plurality of tasks to be stored respectively.

Specifically, when it is detected that the execution modes and the screening conditions corresponding to a plurality of tasks to be stored are the same, it indicates that the task contents of the tasks to be stored are the same, but the corresponding attributes to be stored are different in identification, and redundant information exists if storage is performed for multiple times, which causes waste of storage space. Therefore, a plurality of tasks to be stored can be merged to obtain one task to be stored, and the corresponding relationship between the merged task to be stored and the original attribute identifications of the plurality of tasks to be stored is determined again, so that the tasks can be conveniently searched.

And step two, respectively determining mask information of a plurality of tasks to be stored, updating the identification bits corresponding to the mask information in the tasks to be stored from idle values to use values, and determining the attribute categories corresponding to the tasks to be stored based on the use values.

The mask information may be formed by a character string, the character string includes a plurality of characters, the characters have corresponding orders in the character string, that is, there is location information, and different locations may be used to represent corresponding attribute categories. The different positions may be referred to as identification bits, and the number in the identification bits may indicate the attribute category corresponding to the identification bit, for example, the identification bit is located at the second position in the character string, the second position is used to indicate the responsible object, if the number of the identification bit is 0, the corresponding attribute category is not the attribute category to which the responsible object belongs, and if the number of the identification bit is 1, the corresponding attribute category is the attribute category to which the responsible object belongs. At this time, 0 may be used as an idle value and 1 may be used as a used value.

Specifically, each task to be stored includes mask information corresponding to the task to be stored, that is, mask information corresponding to the attribute category to which the task belongs, for example: the attribute category corresponding to the task to be stored is a direct object, and accordingly the mask information can be determined to be 00000010. According to the mask information of a plurality of tasks to be stored, or operation may be performed on each mask information to obtain new mask information, for example: the mask information of the plurality of tasks to be stored before merging is 00001000 corresponding to the article class, 00000100 corresponding to the direct object and 00010000 corresponding to the brand object respectively, and then the new mask information of the merged tasks to be stored is 00011100. That is, it indicates that the identification bit corresponding to each mask information in the task to be stored is updated from the free value to the used value, which is changed from "0" to "1" in this embodiment. At this time, the attribute type corresponding to the task may be determined according to the mask information of the task to be stored, for example: the mask information of the task to be stored is 00001100, and it can be determined that the attribute class corresponding to the task is an article class and a direct object.

Optionally, in order to ensure the availability of the tasks to be stored in the data structure, each task to be stored may be acquired at regular time, and the data structure may be updated based on the attribute identifier of each task to be stored.

In the actual application process, the articles participating in the activity are changed, or the articles are not changed, but the activity corresponding to the articles is changed, so that whether the articles participating in the activity are changed or not and whether the corresponding activity type is changed or not can be detected at regular time in order to accurately determine the articles participating in the activity and the specific activity participating in the activity. If each article is detected at the current moment, the article detected to participate in the activity at the current moment and the specific activity participated by the article can be used as the task to be stored.

Specifically, a fixed time interval may be set, and information related to the item and the task may be obtained from a data source related to the platform, for example: every third day, every other week, etc. When the data structure is updated, each article and activity information at the current moment can be acquired from the e-commerce platform, and the article and the specific activity in which the article participates are correspondingly stored in the data structure corresponding to the article attribute category.

And S230, determining the execution mode corresponding to each task to be processed according to the task to be processed corresponding to each attribute identifier, and combining the tasks to be processed with the same execution mode to obtain at least one task to be determined.

Specifically, the corresponding to-be-processed task can be obtained according to each attribute identifier, and since the attribute identifier of the target article is multiple, and the to-be-processed task corresponding to each attribute identifier may also be multiple, there may be a case where the to-be-processed tasks are executed in the same manner. In order to avoid taking a plurality of tasks to be processed with the same execution mode as target tasks, the execution modes corresponding to the tasks to be processed need to be determined, and the tasks to be processed with the same execution modes need to be merged. And then the tasks to be processed with different execution modes can be obtained, and one or more combined tasks to be processed can be obtained, so that the tasks to be processed are used as at least one task to be determined.

S240, determining a target task from at least one task to be determined according to the screening condition corresponding to the task to be processed.

The screening condition may be related information of the removed content, where the removed content is used to indicate information of an article that does not participate in the task to be determined corresponding to the attribute identifier, for example: the direct object of the target article A is B, the attribute mark is bbb, the determined task to be processed is task C, after the merging processing, the task C is taken as the task to be determined, however, because the rejection content in the task C contains the information that the article A does not participate in the task, the task C to be determined can be filtered. The removed content may be represented in a text form or in an attribute identifier form, which is not specifically limited in this embodiment.

Specifically, at least one task to be determined is screened according to the screening condition corresponding to the task to be processed, the task to be determined which does not meet the screening condition is removed, and the task to be determined which meets the screening condition is left to serve as the target task.

And S250, determining task associated information corresponding to the target task.

The task-related information includes limitation information for executing the target task, for example: information mutually exclusive with other tasks, information limiting execution time, information limiting platform version, and the like.

Specifically, the target task should include a task identifier and may also include task association information. If the task to be processed does not include the detailed task information, the task association information corresponding to the task identifier can be determined in the existing task database of the platform according to the task identifier. And determining whether each target task can be provided to the user for the user to view and select according to the task association information corresponding to the target task.

And S260, executing the target task based on the relevant information and the execution mode corresponding to the target task.

Specifically, after the association information of the target task is determined, the target task can be further screened, the target tasks which do not meet the limiting conditions are eliminated, and the target tasks with mutually exclusive task execution modes can be prompted to execute the corresponding target tasks according to the execution modes.

Illustratively, the target task corresponding to each attribute identifier of the target article a is B, C, D, E, F. The target tasks B and C cannot participate simultaneously, the target task D limits participation in 10-month-30-year 2020, and the target task F limits participation in the mobile terminal platform. If the fact that the user triggers the determination control of the target article A by the PC terminal in 10-29 th of 2020 is detected, the target task corresponding to the target article A is determined, and the target task D does not accord with the time limit and the target task F does not accord with the platform limit, the target tasks B, C and E are provided to the terminal of the client as the target tasks. Optionally, the mutual exclusion condition of B and C may be prompted when the user triggers a selection control of any one of the tasks, where the prompting mode may be pop-up information prompting, or may be a mode in which the target task C is processed as unavailable when the target task B is selected, and a specific implementation manner is not particularly limited in this embodiment.

When the user triggers a plurality of target items, the technical solution provided in this embodiment may be repeatedly executed to determine the target task corresponding to the target item, and the result of obtaining the target task may be as follows, see fig. 4: it can be determined that the target task corresponding to the target object a has task 1, task 2 and task 3, and the target task corresponding to the target object B has task 3. It should be noted that, if the corresponding task is found according to the item attribute information of the target item Z, it indicates that the target item Z does not participate in any task.

Optionally, the target task is provided to a terminal device of the user for the user to select, and after the user selects the task to which the target object belongs, the activity result information of the target object can be integrated and rendered to a terminal interface for the user to view and select.

Optionally, the task to be processed includes an execution mode corresponding to the target object, and the execution mode includes: activity identification, activity type, user role participating in the activity.

The task to be processed may be an activity corresponding to the target item. The activity identifier is an identifier for distinguishing each activity. The activity type is obtained by dividing the activity according to different forms, and can be various types such as descending, decreasing and filling, etc. The user roles participating in the activity comprise common users and advanced users, the advanced users can also be divided into different levels, the reason for introducing the user roles is that the user roles are taken as limiting conditions in the associated information of part of the tasks to be processed, and when the user roles are detected to be not in accordance with the user role limiting conditions in the associated information of the tasks to be processed, the tasks to be processed can be filtered.

Optionally, the method may be connected to the e-commerce platform in the form of an independent component, or may be connected to a shopping cart of the user, an item list, item details, or a transaction list, and when the user triggers a component for determining a task to which the target item belongs, the determination of the activity corresponding to the item may be completed.

EXAMPLE III

Fig. 5 is a schematic structural diagram of an apparatus for determining a task to which a target item belongs according to a third embodiment of the present invention, where the apparatus includes: an attribute identification determination module 310, a pending task acquisition module 320, and a target task determination module 330.

The attribute identifier determining module 310 is configured to determine at least one item attribute information of a target item, and determine an attribute identifier of each item attribute information; the at least one item attribute information comprises an item class of the target item, a direct object to which the target item belongs, a brand object to which the target item belongs, and a responsible object to which the target item belongs; the object type, the direct object, the brand object and the attribute type corresponding to the responsible object are different; a to-be-processed task obtaining module 320, configured to, for an attribute identifier corresponding to each item attribute information, obtain a to-be-processed task corresponding to a current attribute identifier from a pre-created data structure corresponding to the current attribute identifier; the data structure comprises tasks corresponding to the attribute information of the articles with the same attribute category; and the target task determining module 330 is configured to determine a target task corresponding to the target item according to the to-be-processed task corresponding to each attribute identifier.

Optionally, the attribute identifier determining module 310 is further configured to, when it is detected that the target item control is triggered, obtain an item class of the target item; according to the article class, determining a direct object containing the article class, a responsible object containing the article class and a brand object containing the article class; and taking the direct object, the article class, the responsible object and the brand object as the attribute information of the target article, and respectively determining the attribute identification corresponding to each content in the attribute information.

Optionally, the to-be-processed task obtaining module 320 is further configured to determine, for each attribute identifier, current mask information corresponding to the current attribute identifier, and obtain, from a data structure corresponding to the current mask information, a to-be-processed task corresponding to the current attribute identifier; wherein the mask information corresponds to the attribute category.

Optionally, the device is further configured to establish a data structure including a task, and is configured to determine, for each attribute category, each attribute identifier to be stored that belongs to a current attribute category, store each attribute identifier to be stored in an index list corresponding to the current attribute category in the data structure, store the task to be stored that corresponds to each attribute identifier to be stored in a target location, and retrieve the task stored in the target storage location according to the attribute identifier; the task to be stored comprises an execution mode for executing the task to be stored and a screening condition for executing the task to be stored; the target position comprises a cloud end and/or a local position; and determining a data structure comprising the task based on the index list corresponding to each attribute category.

Optionally, the task to be stored further includes mask information corresponding to the task to be stored, and the apparatus is further configured to, when it is detected that the execution manners and the screening conditions corresponding to the multiple tasks to be stored are the same, combine the multiple tasks to be stored into one task to be stored, and associate the task to be stored with the storage attribute identifiers corresponding to the multiple tasks to be stored, respectively; respectively determining mask information of a plurality of tasks to be stored, updating identification bits corresponding to the mask information in the tasks to be stored into use values from idle values, and determining attribute categories corresponding to the tasks to be stored based on the use values.

Optionally, the device is further configured to obtain the tasks to be stored at regular time, and update the data structure based on the attribute identifier of each task to be stored.

Optionally, the target task determining module 330 is further configured to determine, according to the to-be-processed task corresponding to each attribute identifier, an execution manner corresponding to each to-be-processed task, and merge the to-be-processed tasks with the same execution manner to obtain at least one to-be-determined task; and determining a target task from at least one task to be determined according to the screening condition corresponding to the task to be processed.

Optionally, the apparatus is further configured to determine task related information corresponding to the target task, where the task related information includes execution target task limitation information; and executing the target task based on the associated information and the execution mode corresponding to the target task.

Optionally, the task to be processed in the apparatus includes an execution mode corresponding to the target item, and the execution mode includes: activity identification, activity type, user role participating in the activity.

Fig. 6 is a schematic structural diagram of an assembly for determining a task to which a target item belongs according to a third embodiment of the present invention, where the assembly includes an inverted index module, a cache management module, and a calculation module.

The reverse index module is used for storing a reverse index data structure between the article and the task; the cache management module is used for setting different updating time for different reverse indexes so as to update the reverse indexes; the calculation module is used for calculating the price of the target item after the task is determined and the like.

Specifically, the above components may be connected to an e-commerce platform, any platform connected to the components may be used as an application, corresponding items may exist in a shopping cart, an item list, item details and/or a transaction list in the corresponding application, and a user may trigger any item. When the user triggers the target item, the methods stored in the components and the pre-stored information may be retrieved to determine the activity corresponding to the target item, i.e., determine the target task.

The device for determining the task to which the target object belongs, provided by the embodiment of the invention, can execute the method for determining the task to which the target object belongs, provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

It should be noted that, the units and modules included in the system are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiment of the invention.

Example four

Fig. 7 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention. FIG. 7 illustrates a block diagram of an exemplary electronic device 40 suitable for use in implementing embodiments of the present invention. The electronic device 40 shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.

As shown in fig. 7, electronic device 40 is embodied in the form of a general purpose computing device. The components of electronic device 40 may include, but are not limited to: one or more processors or processing units 401, a system memory 402, and a bus 403 that couples the various system components (including the system memory 402 and the processing unit 401).

Bus 403 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

Electronic device 40 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by electronic device 40 and includes both volatile and nonvolatile media, removable and non-removable media.

The system memory 402 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)404 and/or cache memory 405. The electronic device 40 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 406 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 7, commonly referred to as a "hard drive"). Although not shown in FIG. 7, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 403 by one or more data media interfaces. Memory 402 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.

A program/utility 408 having a set (at least one) of program modules 407 may be stored, for example, in memory 402, such program modules 407 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 407 generally perform the functions and/or methods of the described embodiments of the invention.

The electronic device 40 may also communicate with one or more external devices 409 (e.g., keyboard, pointing device, display 410, etc.), with one or more devices that enable a user to interact with the electronic device 40, and/or with any devices (e.g., network card, modem, etc.) that enable the electronic device 40 to communicate with one or more other computing devices. Such communication may be through input/output (I/O) interface 411. Also, the electronic device 40 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 412. As shown, the network adapter 412 communicates with the other modules of the electronic device 40 over the bus 403. It should be appreciated that although not shown in FIG. 7, other hardware and/or software modules may be used in conjunction with electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

The processing unit 401 executes various functional applications and data processing by executing programs stored in the system memory 402, for example, to implement the method for determining the task to which the target item belongs provided by the embodiment of the present invention.

EXAMPLE five

Embodiments of the present invention also provide a storage medium containing computer-executable instructions that, when executed by a computer processor, perform a method of determining a task to which a target item belongs.

The method comprises the following steps:

determining at least one item attribute information of a target item, and respectively determining an attribute identifier of each item attribute information; the at least one item attribute information comprises an item class of the target item, a direct object to which the target item belongs, a brand object to which the target item belongs and a responsible object to which the target item belongs; the object type, the direct object, the brand object and the attribute type corresponding to the responsible object are different;

aiming at the attribute identifier corresponding to each item attribute information, acquiring a task to be processed corresponding to the current attribute identifier from a pre-established data structure corresponding to the current attribute identifier; the data structure comprises tasks corresponding to the attribute information of the articles with the same attribute category;

Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. 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 (a non-exhaustive list) of the computer readable storage medium would include the following: 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 the context of this document, 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.

A computer readable signal medium may include 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 wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like 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).

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method of determining a task to which a target item belongs, comprising:

2. The method of claim 1, wherein the determining at least one item attribute information of the target item and determining an attribute identifier of each item attribute information respectively comprises:

when the target article control is detected to be triggered, acquiring the article type of the target article;

determining, from the item class, a direct object containing the item class, a responsible object containing the item class, and a brand object containing the item class;

and taking the direct object, the article class, the responsible object and the brand object as attribute information of the target article, and respectively determining attribute identifications corresponding to each content in the attribute information.

3. The method according to claim 1, wherein the obtaining, for the attribute identifier corresponding to each item attribute information, the task to be processed corresponding to the current attribute identifier from the pre-created data structure corresponding to the current attribute identifier comprises:

determining current mask information corresponding to the current attribute identifier according to each attribute identifier, and acquiring a task to be processed corresponding to the current attribute identifier from a data structure corresponding to the current mask information; wherein the mask information corresponds to the attribute category.

4. The method of claim 1, further comprising: establishing a data structure comprising tasks;

the establishing of the data structure including the task comprises:

for each attribute category, determining each attribute identifier to be stored belonging to the current attribute category, storing each attribute identifier to be stored into an index list corresponding to the current attribute category in the data structure, and storing a task to be stored corresponding to each attribute identifier to a target position so as to call the task stored in the target storage position according to the attribute identifier; the task to be stored comprises an execution mode for executing the task to be stored and a screening condition for executing the task to be stored; the target position comprises a cloud end and/or a local position;

and determining a data structure comprising the task based on the index list corresponding to each attribute category.

5. The method according to claim 4, wherein the task to be stored further includes mask information corresponding to the task to be stored, and the method further includes:

when detecting that the execution modes and the screening conditions corresponding to a plurality of tasks to be stored are the same, combining the plurality of tasks to be stored into one task to be stored, and associating the task to be stored with the storage attribute identifications corresponding to the plurality of tasks to be stored respectively;

respectively determining mask information of the plurality of tasks to be stored, and updating identification bits corresponding to the mask information in the tasks to be stored into use values from idle values so as to determine attribute categories corresponding to the tasks to be stored based on the use values.

6. The method of claim 4, further comprising:

and regularly acquiring each task to be stored, and updating the data structure based on the attribute identification of each task to be stored.

7. The method according to claim 4, wherein the identifying the corresponding to-be-processed task according to each attribute and determining the target task corresponding to the target item comprises:

determining an execution mode corresponding to each task to be processed according to the task to be processed corresponding to each attribute identifier, and combining the tasks to be processed with the same execution mode to obtain at least one task to be determined;

and determining a target task from the at least one task to be determined according to the screening condition corresponding to the task to be processed.

8. The method according to claim 4, wherein after identifying the corresponding task to be processed according to the attributes and determining the target task corresponding to the target item, the method further comprises:

determining task associated information corresponding to the target task, wherein the task associated information comprises executing the target task limiting information;

and executing the target task based on the associated information and the execution mode corresponding to the target task.

9. The method of any of claims 1-8, wherein the pending task comprises an execution corresponding to the target item, the execution comprising: activity identification, activity type, user role participating in the activity.

10. An apparatus for determining a task to which a target item belongs, comprising:

11. An electronic device, characterized in that the electronic device comprises:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement a method of determining a task to which a target item belongs as recited in any of claims 1-9.

12. A storage medium containing computer-executable instructions for performing a method of determining a task to which a target item belongs as recited in any one of claims 1-9 when executed by a computer processor.