CN107992604B - Task item distribution method and related device - Google Patents
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- CN107992604B CN107992604B CN201711339711.1A CN201711339711A CN107992604B CN 107992604 B CN107992604 B CN 107992604B CN 201711339711 A CN201711339711 A CN 201711339711A CN 107992604 B CN107992604 B CN 107992604B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
Abstract
The application provides a task item distribution method and a related device, wherein the method comprises the following steps: acquiring a plurality of task items to be picked up, wherein each task item has a corresponding life cycle; determining a historical completion task of a current user, and acquiring task attributes which are good for the current user according to the historical completion task; acquiring matching results of the plurality of task items and the task attributes; and dividing the plurality of task items into a plurality of task sets according to the matching results of the plurality of task items and the task attributes, and distributing the task sets to users, wherein the plurality of task sets are used for displaying the plurality of task items to the current users in a classified manner. Therefore, in the embodiment of the invention, the user does not check and pick up the task items from a large number of task items, but displays the task items to the user in a classified manner, so that the user can quickly find the task items from the interested task set, and the backlog of the task items is reduced, thereby saving the computing resources and improving the user experience.
Description
Technical Field
The present application relates to the field of internet, and in particular, to a task item distribution method and a related device.
Background
With the continuous development of the internet field, the way that users publish and search information through the internet is widely applied to daily life. In an application scenario, a user wants to acquire information on the internet, and can ask a question on knowledge platforms such as question answering and guidance, the platform creates a task item of the question in a task list and describes requirements of the task item, other users get the task item, and relevant information is issued according to the requirements of the task item to reply the question asked by the user. These task entries typically have a life cycle, and when the time to enter the task list (i.e., go online) exceeds the life cycle, but is not yet picked up by the user, they are removed from the task list (i.e., go offline) until the task list is re-entered.
At present, when task items in a task list are displayed, sequencing is usually performed according to the value of the task items or the remaining time in a life cycle, and a user is difficult to quickly find interested task items, so that the task items are overstocked and are continuously online and offline, the user experience is poor, and the waste of computing resources is caused by continuous online and offline.
Therefore, how to distribute task items enables a user to quickly find task items that can be completed, and backlog of task items is reduced, so that computing resources are saved and user experience is improved.
Disclosure of Invention
The technical problem to be solved by the application is to provide a task item distribution method and a related device, which can distribute a plurality of task items, so that a user can quickly find task items which can be completed, thereby saving computing resources and improving user experience.
Therefore, the technical scheme for solving the technical problem is as follows:
the embodiment of the invention provides a task item distribution method, which comprises the following steps:
acquiring a plurality of task items to be picked up, wherein each task item has a corresponding life cycle;
determining a historical completion task of a current user, and acquiring task attributes which are good for the current user according to the historical completion task;
acquiring matching results of the plurality of task items and the task attributes;
and dividing the plurality of task items into a plurality of task sets according to the matching results of the plurality of task items and the task attributes, and distributing the task sets to users, wherein the plurality of task sets are used for displaying the plurality of task items to the current users in a classified manner.
Optionally, the task attribute includes a task classification and/or a task tag.
Optionally, the task attribute includes a task classification; obtaining task attributes of the current user excellence according to the historical completion tasks, wherein the task attributes comprise:
determining a historical completion task meeting preset conditions from the historical completion tasks; the preset conditions include: classifying corresponding to the same task and enabling the number of the tasks to reach a preset threshold value;
and classifying the tasks of the historical completed tasks meeting the preset conditions as the task classification which is good at the current user.
Optionally, the task attribute includes a task tag; obtaining task attributes of the current user excellence according to the historical completion tasks, wherein the task attributes comprise:
acquiring a plurality of task labels respectively corresponding to the historical completion tasks and the repetition times of each task label;
and determining the task label good for the current user from the plurality of task labels respectively corresponding to the task labels according to the repetition times of each task label.
Optionally, the task attribute includes a task classification and a task label;
dividing the plurality of task entries into a plurality of task sets, comprising:
dividing the plurality of task entries into the following four task sets: a task set that matches both the task category and the task label that the current user is good at, a task set that matches the task category that the current user is good at and that does not match the task label that the current user is good at, a task set that does not match the task category that the current user is good at and that matches the task label that the current user is good at, and a task set that does not match both the task category and the task label that the current user is good at.
Optionally, the method further includes:
ordering the plurality of task entries according to a first ordering rule, the first ordering rule comprising: and the task items in the task set with high matching degree with the task attributes are prior to the task items in the task set with low matching degree with the task attributes.
Optionally, the method further includes:
in each task set, respectively sequencing the task items in the task set according to a second sequencing rule; the second ordering rule comprises: and sequencing according to the remaining time of the life cycle of the task items and the failure times of the task items.
Optionally, in each task set, respectively sorting the task items included in the task set according to a second sorting rule, where the sorting includes:
in each task set, acquiring the N value of each task item in the task set, wherein the N value of each task item is the difference value between the remaining days of the life cycle of the task item and the offline times of the task item;
and sequencing each task item in the task set according to the sequence of the N value of each task item from small to large.
Optionally, the method further includes:
in each task set, the task items with the same N value are sorted according to the sequence of the attention degrees of the task items from less to more.
Optionally, the method further includes:
and in each task set, the task items with the same attention degree are sorted according to the sequence of the values of the task items from small to large.
Optionally, the method further includes:
setting an initial value of any one of the plurality of task items according to any one or more of the following parameters: difficulty level, urgency, number of failures, browsing weight, and similarity to other task items.
Optionally, the method further includes:
and when any task item is on-line again, adjusting the value of any task item according to the failure times of any task item, wherein the adjusted value is higher than the value before adjustment.
The embodiment of the present invention further provides a device for distributing task items, including:
the task obtaining module is used for obtaining a plurality of task items to be obtained, wherein each task item has a corresponding life cycle;
the task determination module is used for determining the historical completion task of the current user;
the attribute acquisition module is used for acquiring the task attribute which is good at the current user according to the historical completed task;
the result acquisition module is used for acquiring the matching results of the plurality of task items and the task attributes;
and the distribution module is used for dividing the plurality of task items into a plurality of task sets according to the matching results of the plurality of task items and the task attributes and distributing the task sets to users, wherein the plurality of task sets are used for displaying the plurality of task items to the current users in a classified manner.
Optionally, the task attribute includes a task classification and/or a task tag.
Optionally, the task attribute includes a task classification; the attribute acquisition module includes:
the task determining unit is used for determining a historical completion task meeting preset conditions from the historical completion tasks; the preset conditions include: classifying corresponding to the same task and enabling the number of the tasks to reach a preset threshold value;
and the classification acquisition unit is used for classifying the tasks of the historical completion tasks meeting the preset conditions as the task classification which is good at the current user.
Optionally, the task attribute includes a task tag; the attribute acquisition module includes:
the label obtaining unit is used for obtaining a plurality of task labels respectively corresponding to the historical completion tasks and the repetition times of each task label;
and the label determining unit is used for determining the task label good for the current user from the plurality of task labels respectively corresponding to the task label according to the repetition times of each task label.
Optionally, the task attribute includes a task classification and a task label; when the plurality of task entries are divided into a plurality of task sets, the distribution unit is specifically configured to divide the plurality of task entries into the following four task sets: a task set that matches both the task category and the task label that the current user is good at, a task set that matches the task category that the current user is good at and that does not match the task label that the current user is good at, a task set that does not match the task category that the current user is good at and that matches the task label that the current user is good at, and a task set that does not match both the task category and the task label that the current user is good at.
Optionally, the method further includes:
a first ordering module to order the plurality of task entries according to a first ordering rule, the first ordering rule comprising: and the task items in the task set with high matching degree with the task attributes are prior to the task items in the task set with low matching degree with the task attributes.
Optionally, the method further includes:
the second sequencing module is used for sequencing the task items in each task set according to a second sequencing rule; the second ordering rule comprises: and sequencing according to the remaining time of the life cycle of the task items and the failure times of the task items.
Optionally, the second sorting module includes:
the N value acquisition unit is used for acquiring the N value of each task item in each task set, wherein the N value of each task item is the difference value between the remaining days of the life cycle of the task item and the offline times of the task item;
and the first sequencing unit is used for sequencing each task item in the task set according to the sequence of the N value of each task item from small to large.
Optionally, the second sorting module further includes:
and the second sequencing unit is used for sequencing the task items with the same N value in each task set according to the sequence of the attention degrees of the task items from less to more.
Optionally, the second sorting module further includes:
and the third sequencing unit is used for sequencing the task items with the same attention degree in each task set according to the sequence of the small value to the large value of the task items.
Optionally, the method further includes:
a value setting unit, configured to set an initial value of any one of the plurality of task items according to any one or more of the following parameters: difficulty level, urgency, number of failures, browsing weight, and similarity to other task items.
Optionally, the method further includes:
and the value adjusting unit is used for adjusting the value of any task item according to the failure times of any task item when any task item is on-line again, wherein the adjusted value is higher than the value before adjustment.
An embodiment of the present invention also provides an apparatus for distributing task entries, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs configured to be executed by the one or more processors include instructions for:
acquiring a plurality of task items to be picked up, wherein each task item has a corresponding life cycle;
determining a historical completion task of a current user, and acquiring task attributes which are good for the current user according to the historical completion task;
acquiring matching results of the plurality of task items and the task attributes;
and dividing the plurality of task items into a plurality of task sets according to the matching results of the plurality of task items and the task attributes, and distributing the task sets to users, wherein the plurality of task sets are used for displaying the plurality of task items to the current users in a classified manner.
Embodiments of the present invention also provide a machine-readable medium having stored thereon instructions, which when executed by one or more processors, cause an apparatus to perform a distribution method as described in any one or more of the above embodiments.
According to the technical scheme, when the plurality of task items to be retrieved are distributed to the current user, the historical completion task of the current user is determined, the task attribute which is good at the current user is obtained according to the historical completion task, the matching result of the plurality of task items and the task attribute is obtained, and the plurality of task items are divided into the plurality of task sets according to the matching result and are distributed to the user, so that the plurality of task items are displayed to the current user in a classified mode. Therefore, in the embodiment of the invention, the user does not check and pick up the task items from a large number of task items, but divides the task items into a plurality of task sets according to the matching result of the task attribute which is good for the user and the task items to be picked up and distributes the task sets to the user, so that the task items are displayed to the user in a classified manner, therefore, the user can quickly find the task items from the interested task sets, the backlog of the task items is reduced, the computing resources are saved, and the user experience is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a schematic flow chart of an embodiment of a method provided in an embodiment of the present application;
FIG. 2 is a schematic structural diagram of an embodiment of an apparatus according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of another embodiment of an apparatus according to the present disclosure;
fig. 4 is a schematic structural diagram of another embodiment of an apparatus according to an embodiment of the present disclosure.
Detailed Description
In an application scenario, a user wants to acquire information on the internet, questions can be provided on knowledge platforms such as question answering and guide, task items are created in a task list by the platform, requirements of the task items are described, other users get the task items, and relevant information is issued according to the requirements of the task items to reply the questions provided by the user, so that the task items are completed. For example, the created task item is entitled "how to do good with braised pork in brown sauce", and other users can complete the task item by publishing information such as pictures or characters related to the braised pork in brown sauce. In order to encourage the user to collect and complete the task items, the user is rewarded according to the price values of the task items after the user completes the task items, for example, the user is paid with the reward amount corresponding to the task items. These task entries typically have a certain life cycle, and when entering the task list (i.e., going online), the user can pick up the task entry and publish information within a certain period (e.g., 24 hours), and when passing the system audit, the task entry is completed by the user as the user's historical completion task. When the time for entering the task list exceeds the life cycle, but is not yet received by the user, the task list is deleted (namely, offline) until the task list is re-entered.
At present, when task items in a task list are displayed, sequencing is usually performed according to the reward amount or the remaining time in the life cycle, and personalized distribution is not performed for a user, so that the user is difficult to quickly find out the good task items, the task items are overstocked and are continuously online and offline, the user experience is poor, and the waste of computing resources is caused by continuous online and offline.
The technical problem to be solved by the application is to provide a task item distribution method and a related device, which can distribute a plurality of task items, so that a user can quickly find task items which can be completed, thereby saving computing resources and improving user experience.
Referring to fig. 1, an embodiment of the present application provides a method embodiment of a task item distribution method. The method of the embodiment comprises the following steps:
s101: a plurality of task items to be retrieved are obtained, wherein each task item has a corresponding life cycle.
In the embodiment of the invention, the task entry is used for indicating the user to complete the corresponding task by publishing the information, wherein the title of the task entry generally describes the information to be published. For example, the task item is entitled "how to do good with braised pork in brown sauce", and the user can complete the task item by issuing information such as pictures or characters related to the preparation of braised pork in brown sauce.
The lifecycle of a task entry generally refers to the time when the task entry enters a task list (i.e., online), and during the lifecycle, the task entry can be picked up and completed by a user, and when the lifecycle is exceeded but is not picked up yet by the user, the task entry is deleted from the task list (i.e., offline) until the task list is re-entered.
S102: and determining the historical completion task of the current user, and acquiring the task attribute which is good at the current user according to the historical completion task.
The current user may refer to a user currently logged in or currently browsing a web page on which a task list is displayed. The historical completion task refers to a task entry completed by the current user in the historical use process, for example, a task entry including information published by the current user and approved by the system.
In the embodiment of the invention, the task property which the current user excels in can be determined according to the historical task completion, such as the task classification and/or the task label which the current user excels in. The task classification refers to the category of the task entry, and the task label refers to a keyword corresponding to the task entry, for example, the task entry is entitled "how to do good with meat cooked in red", the task classification of the task entry is entitled "food", and the task label is entitled "meat cooked in red".
S103: and acquiring a matching result of the plurality of task items and the task attributes.
In the embodiment of the present invention, task attributes corresponding to a plurality of task items may be obtained first, and then the task attributes corresponding to the plurality of task items are matched with task attributes that are good for the current user, so as to obtain a matching result between the plurality of task items and the task attributes. For example, the task that the user is currently adept at is classified as "food", and a task item that matches the task classification "food" is determined from among the plurality of task items.
S104: and dividing the plurality of task items into a plurality of task sets according to the matching results of the plurality of task items and the task attributes, and distributing the task sets to users, wherein the plurality of task sets are used for displaying the plurality of task items to the current users in a classified manner.
Wherein the plurality of task entries may be divided into at least two task sets: the task attribute matching module is used for matching the task attribute with the task item, and the task attribute matching module is used for matching the task attribute with the task item. The set formed by the task items matched with the task attributes can be further divided into a set formed by the task items completely matched with the task attributes and a set formed by the task items partially matched with the task attributes. Dividing the plurality of task items into a plurality of task sets, and distributing the task items to users in a task set mode so as to display the plurality of task items to the current users in a classified mode.
It should be noted that, in the embodiment of the present invention, all classified task sets may be distributed to the current user, where all task sets may be sorted according to the matching degree; or the classified partial task set can be distributed to the current user, for example, a set composed of task items matched with the task attributes is distributed to the current user, so that each user distributes task items matched with the attributes which the user excels in.
According to the technical scheme, the user does not check and pick up the task items from a large number of task items any more in the embodiment of the invention, but divides the task items into a plurality of task sets according to the matching result of the task attribute which is good for the user and the task items to be picked up, and distributes the task sets to the user, so that the task items are displayed to the user in a classified manner, therefore, the user can quickly find the task items from the interested task sets, the backlog of the task items is reduced, the computing resources are saved, and the user experience is improved.
In an embodiment of the present invention, the task attribute that the current user is good at includes a task category that the current user is good at and/or a task label that the current user is good at. The manner of obtaining the task attribute is also different according to the task classification and the characteristics of the task label, and is described below.
When the task attribute good for the current user comprises the task classification good for the current user, the task classification good for the current user can be obtained according to the task classification to which the historical task belongs.
Specifically, obtaining the task attribute good at the current user according to the historical completion task may include: determining a historical completion task meeting preset conditions from the historical completion tasks; and classifying the tasks of the historical completed tasks meeting the preset conditions as the task classification which is good at the current user.
Wherein the preset conditions include: corresponding to the same task classification and the number of the tasks reaches a preset threshold value. The preset conditions may include, in addition to the above conditions: the method belongs to the preferred task, the preferred task refers to a task item with better quality in the historical completion task, and the task item can be judged by the system. For example, the preset threshold is 3, and if at least 3 tasks corresponding to preferred tasks in the historical completed tasks of the current user are classified as "food", it can be determined that the task classification "food" is the task classification that the current user excels at. If the task classification good for the current user is more than the preset number, the task classification good for the current user can be further screened according to the number of the tasks which are finished according to the history corresponding to the same classification, for example, the first 3 tasks with the largest number of the corresponding preferred tasks are classified as the task classification good for the current user.
When the task attribute good for the current user comprises the task label good for the current user, the task label good for the current user can be obtained according to the repeated times of the task labels corresponding to the historical completed tasks.
Specifically, obtaining the task attribute good at the current user according to the historical completion task may include: acquiring a plurality of task labels respectively corresponding to the historical completion tasks and the repetition times of each task label; and determining the task label good for the current user from the plurality of task labels respectively corresponding to the task labels according to the repetition times of each task label.
For example, the plurality of task tags respectively corresponding to the historical completion tasks are sorted according to the number of repetitions, and the top 5 task tags are used as the task tags good for the current user.
In the embodiment of the present invention, when the task attribute good for the current user includes a task classification good for the current user and a task label, the task attribute good for the current user may be specifically divided into the following four task sets: a task set that matches both the task category that the current user is good at and the task label (consisting of task items that match both the task category that the current user is good at and the task label), a task set that matches the task category that the current user is good at and that does not match the task label that the current user is good at (consisting of task items that match the task category that the current user is good at and that do not match the task label that the current user is good at), a task set that does not match the task category that the current user excels in and that matches the task label that the current user excels in (consisting of task entries that do not match the task category that the current user excels in and that match the task label that the current user excels in), and a task set that does not match both the task category that the current user excels in and the task label (consisting of task entries that do not match both the task category that the current user excels in and the task label).
In order to further reduce the backlog of task items, the task items can be sorted, so that the task items with high matching degree with the task attributes good for the user can be preferentially displayed. The following is a detailed description.
In an optional embodiment, the method further comprises: ordering the plurality of task entries according to a first ordering rule, wherein the first ordering rule comprises: and the task items in the task set with high matching degree with the task attributes are prior to the task items in the task set with low matching degree with the task attributes. Therefore, the task set with high matching degree with the task attributes can be displayed before the task set with low matching degree with the task attributes, so that the current user can quickly find task items which can be completed, and the backlog of the task items is reduced.
For example, the plurality of task entries are divided into four task sets, and the plurality of task entries are ordered in the following order of the four task sets: a task set that matches both the task category and the task label that the current user is good at, a task set that matches the task category that the current user is good at and that does not match the task label that the current user is good at, a task set that does not match the task category that the current user is good at and that matches the task label that the current user is good at, and a task set that does not match both the task category and the task label that the current user is good at.
Optionally, in order to further reduce the backlog of task entries, in this embodiment of the present application, in each task set, the task entries included in the task set may be sorted according to a second sorting rule, where the second sorting rule includes: and sequencing according to the remaining time of the life cycle of the task items and the failure times of the task items. Specifically, the remaining time is less, or the number of failures is more at the front end. For example, in a task set composed of task items matched with both task categories and task labels good for the current user, the task items in the task set are sorted according to the remaining time of the life cycle and the failure times of the task items. Wherein, the remaining time refers to the difference between the life cycle of the task item and the online time, and the failure times can be obtained according to any one or more of the following parameters: the number of offline times, the number of times of non-passing audit and the number of times of non-releasing information after being picked up. For example, in each task set, the N value of each task item in the task set is obtained, and each task item in the task set is sorted according to the sequence of the N values of each task item from small to large. Where N is the remaining number of days (total number of days online-days online) of the life cycle of the task entry — number of times offline.
In an alternative embodiment, the plurality of task entries are ordered in the following order of the four task sets: a task set that matches both the task category and the task label that the current user is good at, a task set that matches the task category that the current user is good at and that does not match the task label that the current user is good at, a task set that does not match the task category that the current user is good at and that matches the task label that the current user is good at, and a task set that does not match both the task category and the task label that the current user is good at. In the four task sets, the secondary sorting is performed according to the remaining time of the life cycle and the failure times of the task entries, for example, the sorting is performed according to the N values of the task entries in the four task sets.
In the sorting process, for the task items with the same N value, sorting can be performed according to the attention degrees of the task items from a small order to a large order, and the attention degrees of the task items can be specifically represented by the writing times of the task items; the task items with the same attention degree can be sorted according to the sequence of the values of the task items from small to large, and the values of the task items can be specifically represented by the reward amount of the task items.
The higher the value of a task item, the higher the likelihood of being picked up and completed by the user. In the prior art, the value of the task item is usually a fixed value, which further causes backlog of the task item, and in order to solve the technical problem, in the embodiment of the present invention, a calculation manner of the value of the task item is further optimized, which is specifically described below.
Optionally, the embodiment of the present invention further includes: setting an initial value of any one of the plurality of task items according to any one or more of the following parameters: difficulty level, urgency, number of failures, browsing weight, and similarity to other task items. Where initial value refers to the value of the task item when it first comes online. For example, the initial value m of any task item may be m ═ x × (1+ y) × [1+ (5d + q +4 f)% permillage ] × γ × e + z, where x is a difficulty level, y is an emergency degree, d is a number of offline times, q is a number of times that information is not issued after being picked up, f is a number of times that the information has not been approved, γ is a similarity to other task items, e is a browsing weight, which is related to the browsing times, and z is a custom constant.
Therefore, in the above calculation mode, the initial value of the task item can be calculated according to the parameters of the difficulty level, the emergency degree and the like of the task item, so that the value of the task item with a high difficulty level and a high emergency degree is higher, the possibility that the user gets the task item is increased, and the backlog is reduced.
After the initial value of the task item is calculated, the value of the task item can be recalculated each time the task item is offline and comes online again, further increasing the possibility that the task item is picked up. Specifically, the embodiment of the present invention may further include: and when any task item is on-line again, adjusting the value of any task item according to the failure times of any task item, wherein the adjusted value is higher than the value before adjustment. For example, the adjusted value a is b × [1+ (5d + q +4 f)% o ], b is the value before adjustment, d is the number of offline times, q is the number of times information is not issued after retrieval, and f is the number of times no audit is passed. In addition, to avoid excessive value, an upper limit of value may also be set, which may be set in intervals according to the initial value.
Corresponding to the above method embodiments, the present application further provides corresponding apparatus embodiments, which are specifically described below.
Referring to fig. 2, the present application provides an apparatus embodiment of a task item distribution apparatus, comprising: the task obtaining module 201, the task determining module 202, the attribute obtaining module 203, the result obtaining module 204 and the distributing module 205.
The task obtaining module 201 is configured to obtain a plurality of task items to be retrieved, where each task item has a corresponding life cycle;
a task determination module 202, configured to determine a historical completion task of a current user;
the attribute obtaining module 203 is used for obtaining task attributes which are good at the current user according to the historical completed tasks;
a result obtaining module 204, configured to obtain matching results of the plurality of task items and the task attributes;
the distributing module 205 is configured to divide the plurality of task entries into a plurality of task sets according to matching results of the plurality of task entries and the task attributes, and distribute the task sets to the users, where the plurality of task sets are used to display the plurality of task entries in a classified manner to the current users.
Optionally, the task attribute includes a task classification and/or a task tag.
Optionally, the task attribute includes a task classification; the attribute acquisition module includes:
the task determining unit is used for determining a historical completion task meeting preset conditions from the historical completion tasks; the preset conditions include: classifying corresponding to the same task and enabling the number of the tasks to reach a preset threshold value;
and the classification acquisition unit is used for classifying the tasks of the historical completion tasks meeting the preset conditions as the task classification which is good at the current user.
Optionally, the task attribute includes a task tag; the attribute acquisition module includes:
the label obtaining unit is used for obtaining a plurality of task labels respectively corresponding to the historical completion tasks and the repetition times of each task label;
and the label determining unit is used for determining the task label good for the current user from the plurality of task labels respectively corresponding to the task label according to the repetition times of each task label.
Optionally, the task attribute includes a task classification and a task label; when the plurality of task entries are divided into a plurality of task sets, the distribution unit is specifically configured to divide the plurality of task entries into the following four task sets: a task set that matches both the task category and the task label that the current user is good at, a task set that matches the task category that the current user is good at and that does not match the task label that the current user is good at, a task set that does not match the task category that the current user is good at and that matches the task label that the current user is good at, and a task set that does not match both the task category and the task label that the current user is good at.
Optionally, the method further includes:
a first ordering module to order the plurality of task entries according to a first ordering rule, the first ordering rule comprising: and the task items in the task set with high matching degree with the task attributes are prior to the task items in the task set with low matching degree with the task attributes.
Optionally, the method further includes:
the second sequencing module is used for sequencing the task items in each task set according to a second sequencing rule; the second ordering rule comprises: and sequencing according to the remaining time of the life cycle of the task items and the failure times of the task items.
Optionally, the second sorting module includes:
the N value acquisition unit is used for acquiring the N value of each task item in each task set, wherein the N value of each task item is the difference value between the remaining days of the life cycle of the task item and the offline times of the task item;
and the first sequencing unit is used for sequencing each task item in the task set according to the sequence of the N value of each task item from small to large.
Optionally, the second sorting module further includes:
and the second sequencing unit is used for sequencing the task items with the same N value in each task set according to the sequence of the attention degrees of the task items from less to more.
Optionally, the second sorting module further includes:
and the third sequencing unit is used for sequencing the task items with the same attention degree in each task set according to the sequence of the small value to the large value of the task items.
Optionally, the method further includes:
a value setting unit, configured to set an initial value of any one of the plurality of task items according to any one or more of the following parameters: difficulty level, urgency, number of failures, browsing weight, and similarity to other task items.
Optionally, the method further includes:
and the value adjusting unit is used for adjusting the value of any task item according to the failure times of any task item when any task item is on-line again, wherein the adjusted value is higher than the value before adjustment.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
FIG. 3 is a block diagram illustrating an apparatus 300 for distribution of task items, according to an example embodiment. For example, the apparatus 300 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
Referring to fig. 3, the apparatus 300 may include one or more of the following components: processing component 302, memory 304, power component 306, multimedia component 308, audio component 310, input/output (I/O) interface 312, sensor component 314, and communication component 316.
The processing component 302 generally controls overall operation of the device 300, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 302 may include one or more processors 320 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 302 can include one or more modules that facilitate interaction between the processing component 302 and other components. For example, the processing component 302 can include a multimedia module to facilitate interaction between the multimedia component 308 and the processing component 302.
The memory 304 is configured to store various types of data to support operations at the device 300. Examples of such data include instructions for any application or method operating on device 300, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 304 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply component 306 provides power to the various components of the device 300. The power components 306 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 300.
The multimedia component 308 includes a screen that provides an output interface between the device 300 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 308 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 300 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 310 is configured to output and/or input audio signals. For example, audio component 310 includes a Microphone (MIC) configured to receive external audio signals when apparatus 300 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 304 or transmitted via the communication component 316. In some embodiments, audio component 310 also includes a speaker for outputting audio signals.
The I/O interface 312 provides an interface between the processing component 302 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 314 includes one or more sensors for providing various aspects of status assessment for the device 300. For example, sensor assembly 314 may detect an open/closed state of device 300, the relative positioning of components, such as a display and keypad of apparatus 300, the change in position of apparatus 300 or a component of apparatus 300, the presence or absence of user contact with apparatus 300, the orientation or acceleration/deceleration of apparatus 300, and the change in temperature of apparatus 300. Sensor assembly 314 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 314 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 314 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 316 is configured to facilitate wired or wireless communication between the apparatus 300 and other devices. The device 300 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication section 316 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 316 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 300 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 304 comprising instructions, executable by the processor 320 of the apparatus 300 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
A non-transitory computer readable storage medium having instructions therein which, when executed by a processor of a mobile terminal, enable the mobile terminal to perform a method of task entry distribution, the method comprising:
acquiring a plurality of task items to be picked up, wherein each task item has a corresponding life cycle;
determining a historical completion task of a current user, and acquiring task attributes which are good for the current user according to the historical completion task;
acquiring matching results of the plurality of task items and the task attributes;
and dividing the plurality of task items into a plurality of task sets according to the matching results of the plurality of task items and the task attributes, and distributing the task sets to users, wherein the plurality of task sets are used for displaying the plurality of task items to the current users in a classified manner.
Fig. 4 is a schematic structural diagram of a server in an embodiment of the present invention. The server 400 may vary significantly due to configuration or performance, and may include one or more Central Processing Units (CPUs) 422 (e.g., one or more processors) and memory 432, one or more storage media 430 (e.g., one or more mass storage devices) storing applications 442 or data 444. Wherein the memory 432 and storage medium 430 may be transient or persistent storage. The program stored on the storage medium 430 may include one or more modules (not shown), each of which may include a series of instruction operations for the server. Still further, the central processor 422 may be arranged to communicate with the storage medium 430, and execute a series of instruction operations in the storage medium 430 on the server 400.
The server 400 may also include one or more power supplies 426, one or more wired or wireless network interfaces 450, one or more input-output interfaces 458, one or more keyboards 456, and/or one or more operating systems 441, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and so forth.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is only limited by the appended claims
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (14)
1. A method for distributing task items, comprising:
acquiring a plurality of task items to be picked up, wherein each task item has a corresponding life cycle;
determining a historical completion task of a current user, and acquiring task attributes which are good for the current user according to the historical completion task;
acquiring matching results of the plurality of task items and the task attributes;
dividing the plurality of task items into a plurality of task sets according to the matching results of the plurality of task items and the task attributes, and distributing the task sets to users, wherein the plurality of task sets are used for displaying the plurality of task items to the current users in a classified manner;
wherein the plurality of task entries are ordered according to a first ordering rule, the first ordering rule comprising: and the task items in the task set with high matching degree with the task attributes are prior to the task items in the task set with low matching degree with the task attributes.
2. The distribution method according to claim 1, wherein the task attributes comprise task classification and/or task labels.
3. The distribution method according to claim 2, wherein the task attribute comprises a task classification; obtaining task attributes of the current user excellence according to the historical completion tasks, wherein the task attributes comprise:
determining a historical completion task meeting preset conditions from the historical completion tasks; the preset conditions include: classifying corresponding to the same task and enabling the number of the tasks to reach a preset threshold value;
and classifying the tasks of the historical completed tasks meeting the preset conditions as the task classification which is good at the current user.
4. The distribution method according to claim 2, wherein the task attribute comprises a task tag; obtaining task attributes of the current user excellence according to the historical completion tasks, wherein the task attributes comprise:
acquiring a plurality of task labels respectively corresponding to the historical completion tasks and the repetition times of each task label;
and determining the task label good for the current user from the plurality of task labels respectively corresponding to the task labels according to the repetition times of each task label.
5. The distribution method of claim 2, wherein the task attributes include task classification and task labels;
dividing the plurality of task entries into a plurality of task sets, comprising:
dividing the plurality of task entries into the following four task sets: a task set that matches both the task category and the task label that the current user is good at, a task set that matches the task category that the current user is good at and that does not match the task label that the current user is good at, a task set that does not match the task category that the current user is good at and that matches the task label that the current user is good at, and a task set that does not match both the task category and the task label that the current user is good at.
6. The distribution method according to claim 1 or 5, characterized in that the method further comprises:
in each task set, respectively sequencing the task items in the task set according to a second sequencing rule; the second ordering rule comprises: and sequencing according to the remaining time of the life cycle of the task items and the failure times of the task items.
7. The distribution method according to claim 6, wherein in each task set, the task entries included in the task set are respectively sorted according to a second sorting rule, and the method includes:
in each task set, acquiring the N value of each task item in the task set, wherein the N value of each task item is the difference value between the remaining days of the life cycle of the task item and the offline times of the task item;
and sequencing each task item in the task set according to the sequence of the N value of each task item from small to large.
8. The distribution method according to claim 7, further comprising:
in each task set, the task items with the same N value are sorted according to the sequence of the attention degrees of the task items from less to more.
9. The distribution method according to claim 8, further comprising:
and in each task set, the task items with the same attention degree are sorted according to the sequence of the values of the task items from small to large.
10. The distribution method according to claim 1, further comprising:
setting an initial value of any one of the plurality of task items according to any one or more of the following parameters: difficulty level, urgency, number of failures, browsing weight, and similarity to other task items.
11. The distribution method according to claim 10, further comprising:
and when any task item is on-line again, adjusting the value of any task item according to the failure times of any task item, wherein the adjusted value is higher than the value before adjustment.
12. An apparatus for distributing task items, comprising:
the task obtaining module is used for obtaining a plurality of task items to be obtained, wherein each task item has a corresponding life cycle;
the task determination module is used for determining the historical completion task of the current user;
the attribute acquisition module is used for acquiring the task attribute which is good at the current user according to the historical completed task;
the result acquisition module is used for acquiring the matching results of the plurality of task items and the task attributes;
the distribution module is used for dividing the plurality of task items into a plurality of task sets according to the matching results of the plurality of task items and the task attributes and distributing the task sets to users, wherein the plurality of task sets are used for displaying the plurality of task items to the current users in a classified manner;
a first ordering module to order the plurality of task entries according to a first ordering rule, the first ordering rule comprising: and the task items in the task set with high matching degree with the task attributes are prior to the task items in the task set with low matching degree with the task attributes.
13. An apparatus for distributing task entries, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and wherein execution of the one or more programs by one or more processors comprises instructions for:
acquiring a plurality of task items to be picked up, wherein each task item has a corresponding life cycle;
determining a historical completion task of a current user, and acquiring task attributes which are good for the current user according to the historical completion task;
acquiring matching results of the plurality of task items and the task attributes;
dividing the plurality of task items into a plurality of task sets according to the matching results of the plurality of task items and the task attributes, and distributing the task sets to users, wherein the plurality of task sets are used for displaying the plurality of task items to the current users in a classified manner;
wherein the plurality of task entries are ordered according to a first ordering rule, the first ordering rule comprising: and the task items in the task set with high matching degree with the task attributes are prior to the task items in the task set with low matching degree with the task attributes.
14. A machine-readable medium having stored thereon instructions, which when executed by one or more processors, cause an apparatus to perform the distribution method of any one of claims 1 to 11.
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