CN111581485A - Information distribution method and device - Google Patents

Information distribution method and device Download PDF

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CN111581485A
CN111581485A CN202010392112.1A CN202010392112A CN111581485A CN 111581485 A CN111581485 A CN 111581485A CN 202010392112 A CN202010392112 A CN 202010392112A CN 111581485 A CN111581485 A CN 111581485A
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information
produced
search
search information
determining
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CN111581485B (en
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傅馨仪
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Beijing ByteDance Network Technology Co Ltd
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Beijing ByteDance Network Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
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  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The present disclosure provides an information distribution method and apparatus, including: acquiring production state information of search information to be produced, which is distributed to a first user end; determining a difficulty coefficient of the search information to be produced based on historical production state information of the search information to be produced under the condition that the production state information is in an unclaimed state or a claimed unproductive state and time information corresponding to the production state information meets a preset condition; and redistributing the search information to be produced based on the difficulty coefficient of the search information to be produced.

Description

Information distribution method and device
Technical Field
The present disclosure relates to the field of information processing technologies, and in particular, to an information distribution method and apparatus.
Background
When a user searches information, a search request is sent to the server through the user side, and the server sends a search result to the user side. In order to improve the browsing efficiency of the user, the search results meeting the preset conditions can be screened from the plurality of search results, and the screened search results are displayed in a special format, so that the user can conveniently check the screened search results.
For some search requests without search results meeting preset conditions, the search requests are generally sent to a user side corresponding to the field to which the search request belongs directly according to the field to which the search request belongs, and the user side performs production.
Disclosure of Invention
The embodiment of the disclosure at least provides an information distribution method and device.
In a first aspect, an embodiment of the present disclosure provides an information distribution method, including:
acquiring production state information of search information to be produced, which is distributed to a first user end;
determining a difficulty coefficient of the search information to be produced based on historical production state information of the search information to be produced under the condition that the production state information is in an unclaimed state or a claimed unproductive state and time information corresponding to the production state information meets a preset condition;
and redistributing the search information to be produced based on the difficulty coefficient of the search information to be produced.
In a possible embodiment, the determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced includes:
determining interactive information and attribute information corresponding to the search information to be produced;
determining the importance of the search information to be produced based on the interactive information and the attribute information corresponding to the search information to be produced;
and when the importance is smaller than a preset value, determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced.
In one possible implementation manner, when the search information to be produced includes first search information, the interaction information corresponding to the search information to be produced includes search times corresponding to the first search information, and the attribute information corresponding to the search information to be produced includes stability information and/or production demand information of the first search information; the first search information is search information with a target search result, and the target search result is a search result meeting a preset condition;
when the search information to be produced comprises second search information, interactive information corresponding to the search information to be produced comprises browsing times of a target search result corresponding to the second search information, and attribute information corresponding to the search information to be produced comprises stability information and/or production demand information of the first search information; the second search information is search information which has a target search result but does not meet a target condition;
the stability information is used for representing that the probability of the value of the interactive information in the preset time length from the current moment to the later of the search information to be produced is higher than the probability of the value of the interactive information in the preset time length from the current moment to the earlier of the search information to be produced; the production demand information is used for representing the demand type of the search result to be produced corresponding to the search information to be produced.
In a possible implementation manner, the determining the importance of the search information to be produced based on the interaction information and the attribute information corresponding to the search information to be produced includes:
taking the interactive information of the search information to be produced as initial importance;
and adjusting the initial importance degree based on the attribute information and a preset adjustment rule to obtain the importance degree of the search information to be produced.
In a possible embodiment, the determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced includes:
and determining the difficulty coefficient of the search information to be produced based on the corresponding times of unclassified search and the times of unproduction after being claimed when the search information to be produced is distributed to different user terminals.
In a possible embodiment, the redistributing the search information to be produced based on the difficulty coefficient of the search information to be produced includes:
adjusting the quantity of virtual resources corresponding to the search information to be produced according to a preset resource adjustment rule based on the difficulty coefficient of the search information to be produced;
and sending the search information to be produced and indication information indicating the adjusted quantity of the virtual resources to a second user end matched with the search information to be produced so that the second user end obtains the corresponding quantity of the virtual resources after generating a target search result which corresponds to the search information to be produced and meets the preset condition.
In a possible implementation, when the importance is greater than or equal to the preset value, the method further includes:
determining second user terminals except the first user terminal which are matched with the search information to be produced;
and sending the search information to be produced to the second user terminal.
In one possible embodiment, the second client that matches the search information to be generated is determined according to the following method:
determining production demand information of the search information to be produced and attribute information of a plurality of candidate clients; the production demand information is used for representing the user demand type of the target search result corresponding to the search information to be produced;
and determining a second user end matched with the search information to be produced based on the production demand information of the search information to be produced and the attribute information of a plurality of candidate user ends.
In a possible embodiment, the method further comprises:
and sending reminding information to the first user side under the condition that the production state information is in an unclaimed state or a claimed unproductive state and the time information corresponding to the production state information does not meet a preset condition.
In a second aspect, an embodiment of the present disclosure further provides an information distribution apparatus, including:
the acquisition module is used for acquiring the production state information of the search information to be produced, which is distributed to the first user terminal;
the determining module is used for determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced under the condition that the production state information is in an unclaimed state or a claimed unproductive state and the time information corresponding to the production state information meets a preset condition;
and the distribution module is used for redistributing the search information to be produced based on the difficulty coefficient of the search information to be produced.
In a possible embodiment, the determining module, when determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced, is configured to:
determining interactive information and attribute information corresponding to the search information to be produced;
determining the importance of the piece of search information to be produced based on the interactive information and the attribute information corresponding to the search information to be produced;
and when the importance is smaller than a preset value, determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced.
In one possible implementation manner, when the search information to be produced includes first search information, the interaction information corresponding to the search information to be produced includes search times corresponding to the first search information, and the attribute information corresponding to the search information to be produced includes stability information and/or production demand information of the first search information; the first search information is search information with a target search result, and the target search result is a search result meeting a preset condition;
when the search information to be produced comprises second search information, interactive information corresponding to the search information to be produced comprises browsing times of a target search result corresponding to the second search information, and attribute information corresponding to the search information to be produced comprises stability information and/or production demand information of the first search information; the second search information is search information which has a target search result but does not meet a target condition;
the stability information is used for representing that the probability of the value of the interactive information in the preset time length from the current moment to the later of the search information to be produced is higher than the probability of the value of the interactive information in the preset time length from the current moment to the earlier of the search information to be produced; the production demand information is used for representing the demand type of the search result to be produced corresponding to the search information to be produced.
In a possible embodiment, when determining the importance of the piece of search information to be produced based on the interaction information and the attribute information corresponding to the piece of search information to be produced, the determining module is configured to:
taking the interactive information of the search information to be produced as initial importance;
and adjusting the initial importance degree based on the attribute information and a preset adjustment rule to obtain the importance degree of the search information to be produced.
In a possible embodiment, the determining module, when determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced, is configured to:
and determining the difficulty coefficient of the search information to be produced based on the corresponding times of unclassified search and the times of unproduction after being claimed when the search information to be produced is distributed to different user terminals.
In a possible implementation manner, when the search information to be generated is re-allocated based on the difficulty coefficient of the search information to be generated, the allocation module is configured to:
adjusting the quantity of virtual resources corresponding to the search information to be produced according to a preset resource adjustment rule based on the difficulty coefficient of the search information to be produced;
and sending the search information to be produced and indication information indicating the adjusted quantity of the virtual resources to a second user end matched with the search information to be produced so that the second user end obtains the corresponding quantity of the virtual resources after generating a target search result which corresponds to the search information to be produced and meets the preset condition.
In a possible implementation manner, when the importance is greater than or equal to the preset value, the allocating module is further configured to:
determining second user terminals except the first user terminal which are matched with the search information to be produced;
and sending the search information to be produced to the second user terminal.
In a possible embodiment, the allocation module is configured to determine a second client that matches the search information to be generated according to the following method:
determining production demand information of the search information to be produced and attribute information of a plurality of candidate clients; the production demand information is used for representing the user demand type of the target search result corresponding to the search information to be produced;
and determining a second user end matched with the search information to be produced based on the production demand information of the search information to be produced and the attribute information of a plurality of candidate user ends.
In a possible implementation, the allocating module is further configured to:
and sending reminding information to the first user side under the condition that the production state information is in an unclaimed state or a claimed unproductive state and the time information corresponding to the production state information does not meet a preset condition.
In a third aspect, an embodiment of the present disclosure further provides a computer device, including: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when the computer device is running, the machine-readable instructions when executed by the processor performing the steps of the first aspect described above, or any possible implementation of the first aspect.
In a fourth aspect, this disclosed embodiment also provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps in the first aspect or any one of the possible implementation manners of the first aspect.
In the information distribution method and device provided by the embodiment of the disclosure, under the condition that the production state information of the search information to be produced distributed to the first user terminal is in an unclaimed state or a claimed unproductive state, and the time information corresponding to the production state information meets the preset condition, the difficulty coefficient of the search information to be produced can be determined based on the historical production state information of the search information to be produced, and then the search information to be produced is distributed again according to the determined difficulty coefficient, so that the production state of the search information to be produced distributed to the first user terminal can be monitored in time; the historical production state information of the search information to be produced can reflect the difficulty degree of the search information to be produced to different user terminals, the difficulty coefficient of the search information to be produced can be determined based on the historical production state information, and when the search information to be produced is distributed to the user terminals based on the difficulty coefficient, for example, the number of virtual resources corresponding to the search request can be adjusted.
In order to make the aforementioned objects, features and advantages of the present disclosure more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required for use in the embodiments will be briefly described below, and the drawings herein incorporated in and forming a part of the specification illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the technical solutions of the present disclosure. It is appreciated that the following drawings depict only certain embodiments of the disclosure and are therefore not to be considered limiting of its scope, for those skilled in the art will be able to derive additional related drawings therefrom without the benefit of the inventive faculty.
Fig. 1 shows a flowchart of an information distribution method provided by an embodiment of the present disclosure;
fig. 2 shows a flowchart of an importance determination method for search information to be produced according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram illustrating a method for determining importance according to an embodiment of the present disclosure;
fig. 4 is a flowchart illustrating a method for determining a second user end matching with search information to be generated according to an embodiment of the present disclosure;
fig. 5 is a schematic diagram illustrating an architecture of an information distribution apparatus provided in an embodiment of the present disclosure;
fig. 6 shows a schematic structural diagram of a computer device 600 provided by the embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, not all of the embodiments. The components of the embodiments of the present disclosure, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present disclosure, presented in the figures, is not intended to limit the scope of the claimed disclosure, but is merely representative of selected embodiments of the disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the disclosure without making creative efforts, shall fall within the protection scope of the disclosure.
After the search request is sent to the user side, some important search requests may not be processed in time due to limited production capacity of the user side. In the related art, for any search request, if data produced by a user terminal for the search request is not received within a preset time, the search request may be directly sent to other user terminals, and thus, the difficulty of the search request itself may be high, so that other user terminals cannot process the search request in time.
In the information distribution method and device provided by the embodiment of the disclosure, under the condition that the production state information of the search information to be produced distributed to the first user terminal is in an unclaimed state or a claimed unproductive state, and the time information corresponding to the production state information meets the preset condition, the difficulty coefficient of the search information to be produced can be determined based on the historical production state information of the search information to be produced, and then the search information to be produced is distributed again according to the determined difficulty coefficient, so that the production state of the search information to be produced distributed to the first user terminal can be monitored in time; the historical production state information of the search information to be produced can reflect the difficulty degree of the search information to be produced to different user terminals, the difficulty coefficient of the search information to be produced can be determined based on the historical production state information, and when the search information to be produced is distributed to the user terminals based on the difficulty coefficient, for example, the number of virtual resources corresponding to the search request can be adjusted.
The above-mentioned drawbacks are the results of the inventor after practical and careful study, and therefore, the discovery process of the above-mentioned problems and the solutions proposed by the present disclosure to the above-mentioned problems should be the contribution of the inventor in the process of the present disclosure.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
For the convenience of understanding of the present embodiment, first, an information distribution method disclosed in the embodiments of the present disclosure is described in detail, and an execution subject of the information distribution method provided in the embodiments of the present disclosure is generally an electronic device with certain computing capability, and may be, for example, a server. The following describes an information distribution method provided by the embodiments of the present disclosure, taking an execution subject as a server.
Referring to fig. 1, a flowchart of an information distribution method provided in an embodiment of the present disclosure is shown, where the method includes the following steps:
step 101, obtaining production state information of search information to be produced distributed to a first user terminal.
And 102, determining a difficulty coefficient of the search information to be produced based on historical production state information of the search information to be produced under the condition that the production state information is in an unclaimed state or a claimed unproductive state and time information corresponding to the production state information meets a preset condition.
And 103, redistributing the search information to be produced based on the difficulty coefficient of the search information to be produced.
The following is a detailed description of the above steps 101 to 103.
For step 101,
The to-be-produced search information distributed to the user side comprises two kinds of to-be-produced search information, wherein one kind of the to-be-produced search information is first search information without a target search result, and the other kind of the to-be-produced search information is second search information with the target search result, but the target search result does not meet a target condition.
Here, the target search result is a search result that meets a preset condition. After a search result is determined based on certain search information, a user needs to interact with the search result to determine that the search result meets the user requirement, and if multiple interactions are performed between multiple users and a certain search result, the importance of the search result to the user is high.
In a possible implementation manner, a certain search request may correspond to multiple search results, when determining whether the search request has a target search result, the importance degree corresponding to each search result may be determined based on the first interaction information corresponding to each search result, and if the search result with the highest importance degree is compared with other search results in the multiple search results and meets a preset difference condition, it is determined that the search request has the corresponding target search result.
The first interaction information corresponding to each search result may include click times and/or browsing duration, the importance degree corresponding to each search result is determined based on the first interaction information corresponding to each search result, and the importance degree corresponding to each search result may be obtained by performing weighted summation on information included in the first interaction information and taking a weighted summation result as the importance degree corresponding to each search result; when the first interactive information only includes the number of clicks (or only includes the browsing duration), the value of the first interactive information may be directly used as the importance corresponding to the search result.
The search result with the highest importance degree meets a preset difference condition compared with other search results in the plurality of search results, and may include any one of the following cases:
in case 1, the difference between the search result with the highest importance and the search result with the high importance is greater than the preset difference.
Specifically, T can be satisfied1-T2>S, wherein, T1Indicates the importance, T, of the search result with the highest importance2And S represents a preset difference value.
And 2, the ratio of the search result with the highest importance in the search results with the top N-bit importance is greater than the preset ratio.
Specifically, it can be such that T is satisfied1/(T1+T2+…+TN)>Z, wherein, T1To representImportance, T, of the most important search result2And representing the importance of the search result with the second highest importance, and so on, wherein Z represents a preset ratio.
It should be noted that whether each piece of search information to be produced corresponds to a target search result may be determined in advance based on a historical search request, and after the search information to be produced is acquired and before the search information to be produced is distributed, whether the search information to be produced has a corresponding target search result may be directly determined.
The target search result does not satisfy the target condition, and may be that user interaction information corresponding to the target search result does not satisfy a preset interaction condition. And when the user interaction information corresponding to the target search result does not meet the preset interaction condition, indicating that the user experience corresponding to the target search result is poor, and then reproducing according to the related information of the target search result.
Wherein, the user interaction information may include at least one of the following information:
the page dwell time, the click rate, and the difference between the click times of the target search result corresponding to the second search information and the click times of the other search results corresponding to the second search information except the target search result.
The user interaction information does not accord with the preset interaction condition, and the value of any information in the user interaction information can be out of the value range corresponding to the information.
In another possible implementation, the target search result does not satisfy the target condition, and the target search result may be at risk. Here, the target search result has risk including two possible cases, that is, a website where the target search result itself is located is a risky website, and that the current search platform cannot acquire data from the website where the target search result is located.
When determining whether the target search result has a risk, a Uniform Resource Locator (URL) of the target search result and related information of the target search result (for example, title information of the target search result) may be obtained first, and risk identification may be performed on the target search result based on the URL of the target search result.
Performing risk identification on the target search result based on the URL of the target search result, wherein the risk identification can be used for detecting whether the URL is located in a pre-stored high-risk resource database, and if so, determining that the risk identification result indicates that the target search result has risk; or whether the data can be acquired based on the URL is detected (since part of the data can only be detected but cannot be acquired), and if not, the risk identification result is determined to indicate that the target search result has risk.
In a possible implementation manner, the obtaining of the production state information of the search information to be produced, which is allocated to the first user side, may be periodically obtaining all the production state information of the search information to be produced, which is allocated to the first user side.
With respect to step 102,
The time information corresponding to the production state information meeting the preset condition may include the following two cases:
in case 1, after the search information to be generated is distributed to the first user side, the state information corresponding to the search information to be generated is in an unclassified state, and if a claim instruction sent by the first user side is not received within a first preset time period, it is determined that the time information corresponding to the production state information of the search information to be generated meets a preset condition.
And 2, after the search information to be produced is distributed to the first user side, if the state information of the search information to be produced is updated to be claimed unproductive after a claim instruction of the first user side is received, and if a target search result which is sent by the first user side and is produced based on the search information to be produced is not received within a second preset time length after the claim instruction of the first user side is received, determining that the time information corresponding to the production state information of the search information to be produced meets a preset condition.
In another possible implementation manner, the first user end may further send a delay request for instructing delay processing to the server, and after receiving the delay request, the server may determine that, if a target search result, which is sent by the first user end and is produced based on the search information to be produced, is not received within a third preset time period after receiving a claim instruction of the first user end, time information corresponding to the production state information of the search information to be produced meets a preset condition. And the third preset time length is greater than the second preset time length.
Because the importance degrees of different search information to be produced are different, the search information to be produced with higher importance degree may need to be distributed to other user ends as soon as possible, and because certain time needs to be consumed for determining the difficulty coefficient, in order to improve the processing efficiency of the search information to be produced with higher importance degree, the search information to be produced can be directly sent to other user ends matched with the search information to be produced; some search information to be produced with a low importance degree may not be very difficult, and after being distributed to other user terminals, the other user terminals may not produce corresponding target search results.
For the two possible situations, in one possible implementation manner, when determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced, the interactive information and the attribute information corresponding to the search information to be produced may be determined first, then the importance of the search information to be produced may be determined based on the interactive information and the attribute information corresponding to the search information to be produced, and when the importance is smaller than a preset value, the difficulty coefficient of the search information to be produced may be determined based on the historical production state information of the search information to be produced.
When determining the interactive information and the attribute information corresponding to the search information to be produced, the type of the search information to be produced may be determined first, and then the interactive information and the attribute information may be determined according to the type of the search information to be produced, which may be specifically divided into the following two cases:
in case 1, the search information to be generated is the first search information.
When the search information to be produced is first search information, determining that the interactive information of the first search information can comprise the search times corresponding to the first search information; the attribute information determining the first search information may include stability information and/or production demand information of the first search information.
And in case 2, the search information to be generated is second search information.
When the search information to be produced is second search information, determining that the interactive information of the second search information can comprise browsing times of a target search result corresponding to the second search information; determining that the attribute information of the second search information includes stability information and/or production demand information of the second search information.
The stability information is used for representing that the probability of the value of the interactive information in the preset time length from the current moment to the later of the search information to be produced is higher than the probability of the value of the interactive information in the preset time length from the current moment to the earlier of the search information to be produced; the production demand information is used for representing the demand type of the search result to be produced corresponding to the search information.
For example, the stability information may indicate a probability that the sum of the searched times of the first search information in the last 7 days is higher than the sum of the searched times in the previous 7 days.
The stability information of the search information to be generated may be determined based on a pre-trained first neural network model, the search information to be generated is input into the pre-trained first neural network, and the stability information corresponding to the search information to be generated is output. The production demand information of the search information to be produced may be determined based on the pre-trained second neural network model, the search information to be produced is input into the pre-trained second neural network, and the production demand information from which the search information to be produced is available is output.
In a specific implementation, when determining the importance of the piece of search information to be produced based on the interaction information and the attribute information corresponding to the piece of search information to be produced, the method shown in fig. 2 may be referred to, and includes the following steps:
step 201, using the interactive information of the search information to be produced as the initial importance.
Step 202, adjusting the initial importance based on the attribute information and a preset adjustment rule to obtain the importance of the search information to be produced.
The adjustment rule may be a preset rule, for example, as shown in fig. 3, when the initial importance is adjusted based on the attribute information and the preset adjustment rule, the initial importance may be increased by a if the value of the stability information is greater than a first preset value a; the initial importance may also be adjusted according to the category of the search information to be produced, for example, if the search information to be produced belongs to the first search information, the initial importance is increased by b times, and if the search information to be produced belongs to the second search information, the initial importance is increased by c times; in addition, the initial importance can be adjusted according to the label of the search information to be produced, for example, when the search information to be produced carries the target label, the basic importance can be increased by d times.
If the value of the stability information of a certain search information to be generated is greater than a, the search information to be generated is first search information, the search information to be generated carries target tag information, and the value of the interaction information is p, when the importance of the search information to be generated is calculated, the importance is p (1+ a) × (1+ b) × (1+ c).
It should be noted that, when the search information to be generated is distributed to any user terminal, since the importance of the search information to be generated is determined according to the corresponding mutual information and attribute information of the search information to be generated, and the mutual information corresponding to the search information to be generated may change during a period from the time the search information to be generated is distributed to the last user terminal to the time the search information to be generated is distributed to the current user terminal, the importance of the search information to be generated needs to be determined again when the search information to be generated is redistributed to any user terminal.
When the difficulty coefficient of the search information to be produced is determined based on the historical production state information of the search information to be produced, the difficulty coefficient of the search information to be produced may be determined based on the corresponding unclaimed times when the search information to be produced is distributed to different clients and the unclaimed times after the search.
For the same piece of search information to be produced, the search information to be produced may be allocated to one user side at a time, the unclaimed times may be times that the search information to be produced is not claimed after being sequentially allocated to different user sides, and the unclaimed times may be times that the search information to be produced is claimed but not produced after being sequentially allocated to different user sides.
Illustratively, if a search information to be generated is assigned to a, but a does not claim the search information to be generated, then is assigned to b again, but b does not claim, then is assigned to c again, c claims but is not generated, the number of times that the search information to be generated is not claimed is two, and the number of times that the search information is not generated after being claimed is one.
When determining the difficulty factor of the search information to be produced based on the corresponding unclaimed times and unclaimed times when the search information to be produced is distributed to different user terminals, the calculation may be performed by referring to the following formula:
P=2x+y
wherein p represents the difficulty coefficient corresponding to the search information to be produced, x represents the times that the search information to be produced is not claimed, and y represents the times that the search information to be produced is not produced after being claimed.
In another example, when the difficulty coefficient of the search information to be produced is determined based on the corresponding unclaimed times and the corresponding unclaimed times after being claimed when the search information to be produced is distributed to different user terminals, the unclaimed times and the unclaimed times after being claimed may be weighted and summed according to preset weights, and the summed result is used as the difficulty coefficient corresponding to the search information to be produced.
For step 103,
When the search information to be produced is distributed again based on the difficulty coefficient of the search information to be produced, the number of virtual resources corresponding to the search information to be produced can be adjusted according to a preset resource adjustment rule based on the difficulty coefficient of the search information to be produced, and then the search information to be produced and indication information indicating the number of the adjusted virtual resources are sent to a second user end matched with the search information to be produced, so that the second user end obtains the corresponding number of virtual resources after generating a target search result which corresponds to the search information to be produced and meets a preset condition.
The virtual resource may be a privilege, virtual currency, red envelope, etc.
In specific implementation, the difficulty level corresponding to the search information to be produced may be determined according to the difficulty coefficient of the search information to be produced, and then the number of virtual resources corresponding to the search information to be produced may be adjusted to the number matching the difficulty level.
In another embodiment of the application, when the determined importance of the search information to be produced is greater than or less than a preset value, a third user side, which is matched with the search information to be produced and is other than the first user side, may be determined, and then the search information to be produced is sent to the third user side.
Specifically, when determining the third user end matched with the search information to be generated, the method shown in fig. 4 may be referred to, and includes the following steps:
step 401, determining production demand information of the search information to be produced and attribute information of a plurality of candidate clients; the production demand information is used for representing the user demand type of the target search result corresponding to the search information to be produced.
Step 402, determining a third user end matched with the search information to be produced based on the production demand information of the search information to be produced and the attribute information of a plurality of candidate user ends.
When determining the attribute information of a plurality of candidate user sides, the attribute information may be determined based on the attribute information of the content published by the candidate user sides on the search platform, and for example, if the candidate user sides publish the articles in the category of food on the search platform for a plurality of times, it may be determined that the attribute information of the candidate user sides includes "food". In another possible implementation manner, the attribute information of the candidate user side may be further determined based on the production demand information of the target search content that is produced by the candidate user side in the history.
In another embodiment of the present application, each user terminal may further modify (including adding, deleting, and changing) attribute information manually, for example, if the attribute information of a certain user terminal includes "food", and if the user deletes the attribute information of "food" manually, the user terminal is no longer assigned with corresponding production demand information including search information to be produced of "food".
In a possible application scenario, the reason that the production state information is an unclaimed state or a claimed unproductive state may be that the user forgets to claim or claim to forget to produce, so in another example of the present application, when the production state information is an unclaimed state or a claimed unproductive state and the time information corresponding to the production state information does not satisfy the preset condition, sending a reminding message to the first user end to remind the first user end to process the search information to be produced.
In the information distribution method provided by the embodiment of the disclosure, under the condition that the production state information of the search information to be produced distributed to the first user terminal is in an unclaimed state or a claimed unproductive state, and the time information corresponding to the production state information meets a preset condition, the difficulty coefficient of the search information to be produced can be determined based on the historical production state information of the search information to be produced, and then the search information to be produced is distributed again according to the determined difficulty coefficient, and by the method, the production state of the search information to be produced distributed to the first user terminal can be monitored in time; the historical production state information of the search information to be produced can reflect the difficulty degree of the search information to be produced to different user terminals, the difficulty coefficient of the search information to be produced can be determined based on the historical production state information, and when the search information to be produced is distributed to the user terminals based on the difficulty coefficient, for example, the number of virtual resources corresponding to the search request can be adjusted, so that the processing efficiency of the user terminals to the search information to be produced can be improved.
It will be understood by those skilled in the art that in the method of the present invention, the order of writing the steps does not imply a strict order of execution and any limitations on the implementation, and the specific order of execution of the steps should be determined by their function and possible inherent logic.
Based on the same inventive concept, an information distribution device corresponding to the information distribution method is also provided in the embodiments of the present disclosure, and because the principle of solving the problem of the device in the embodiments of the present disclosure is similar to the information distribution method in the embodiments of the present disclosure, the implementation of the device may refer to the implementation of the method, and repeated details are not repeated.
Referring to fig. 5, a schematic diagram of an architecture of an information distribution apparatus provided in an embodiment of the present disclosure is shown, where the apparatus includes: an acquisition module 501, a determination module 502 and a distribution module 503; wherein,
an obtaining module 501, configured to obtain production state information of search information to be produced, which is allocated to a first user end;
a determining module 502, configured to determine a difficulty coefficient of the search information to be produced based on historical production state information of the search information to be produced when the production state information is an unclaimed state or a claimed unproductive state and time information corresponding to the production state information meets a preset condition;
the allocating module 503 is configured to reallocate the search information to be produced based on the difficulty coefficient of the search information to be produced.
In a possible implementation manner, the determining module 502, when determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced, is configured to:
determining interactive information and attribute information corresponding to the search information to be produced;
determining the importance of the piece of search information to be produced based on the interactive information and the attribute information corresponding to the search information to be produced;
and when the importance is smaller than a preset value, determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced.
In one possible implementation manner, when the search information to be produced includes first search information, the interaction information corresponding to the search information to be produced includes search times corresponding to the first search information, and the attribute information corresponding to the search information to be produced includes stability information and/or production demand information of the first search information; the first search information is search information with a target search result, and the target search result is a search result meeting a preset condition;
when the search information to be produced comprises second search information, interactive information corresponding to the search information to be produced comprises browsing times of a target search result corresponding to the second search information, and attribute information corresponding to the search information to be produced comprises stability information and/or production demand information of the first search information; the second search information is search information which has a target search result but does not meet a target condition;
the stability information is used for representing that the probability of the value of the interactive information in the preset time length from the current moment to the later of the search information to be produced is higher than the probability of the value of the interactive information in the preset time length from the current moment to the earlier of the search information to be produced; the production demand information is used for representing the demand type of the search result to be produced corresponding to the search information to be produced.
In a possible implementation manner, when determining the importance of the search information to be produced based on the interaction information and the attribute information corresponding to the search information to be produced, the determining module 502 is configured to:
taking the interactive information of the search information to be produced as initial importance;
and adjusting the initial importance degree based on the attribute information and a preset adjustment rule to obtain the importance degree of the search information to be produced.
In a possible implementation manner, the determining module 502, when determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced, is configured to:
and determining the difficulty coefficient of the search information to be produced based on the corresponding times of unclassified search and the times of unproduction after being claimed when the search information to be produced is distributed to different user terminals.
In a possible implementation manner, the allocating module 503, when re-allocating the search information to be produced based on the difficulty coefficient of the search information to be produced, is configured to:
adjusting the quantity of virtual resources corresponding to the search information to be produced according to a preset resource adjustment rule based on the difficulty coefficient of the search information to be produced;
and sending the search information to be produced and indication information indicating the adjusted quantity of the virtual resources to a second user end matched with the search information to be produced so that the second user end obtains the corresponding quantity of the virtual resources after generating a target search result which corresponds to the search information to be produced and meets the preset condition.
In a possible implementation manner, when the importance is greater than or equal to the preset value, the allocating module 503 is further configured to:
determining second user terminals except the first user terminal which are matched with the search information to be produced;
and sending the search information to be produced to the second user terminal.
In a possible implementation, the allocating module 503 is configured to determine the second user end matching the search information to be generated according to the following method:
determining production demand information of the search information to be produced and attribute information of a plurality of candidate clients; the production demand information is used for representing the user demand type of the target search result corresponding to the search information to be produced;
and determining a second user end matched with the search information to be produced based on the production demand information of the search information to be produced and the attribute information of a plurality of candidate user ends.
In a possible implementation, the allocating module 503 is further configured to:
and sending reminding information to the first user side under the condition that the production state information is in an unclaimed state or a claimed unproductive state and the time information corresponding to the production state information does not meet a preset condition.
The description of the processing flow of each module in the device and the interaction flow between the modules may refer to the related description in the above method embodiments, and will not be described in detail here.
Based on the same technical concept, the embodiment of the application also provides computer equipment. Referring to fig. 6, a schematic structural diagram of a computer device 600 provided in the embodiment of the present application includes a processor 601, a memory 602, and a bus 603. The memory 602 is used for storing execution instructions and includes a memory 6021 and an external memory 6022; the memory 6021 is also referred to as an internal memory, and is used for temporarily storing the operation data in the processor 601 and the data exchanged with the external memory 6022 such as a hard disk, the processor 601 exchanges data with the external memory 6022 through the memory 6021, and when the computer device 600 operates, the processor 601 communicates with the memory 602 through the bus 603, so that the processor 601 executes the following instructions:
acquiring production state information of search information to be produced, which is distributed to a first user end;
determining a difficulty coefficient of the search information to be produced based on historical production state information of the search information to be produced under the condition that the production state information is in an unclaimed state or a claimed unproductive state and time information corresponding to the production state information meets a preset condition;
and redistributing the search information to be produced based on the difficulty coefficient of the search information to be produced.
In a possible implementation manner, in the instructions executed by the processor 601, the determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced includes:
determining interactive information and attribute information corresponding to the search information to be produced;
determining the importance of the piece of search information to be produced based on the interactive information and the attribute information corresponding to the search information to be produced;
and when the importance is smaller than a preset value, determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced.
In a possible implementation manner, in an instruction executed by the processor 601, when the search information to be produced includes first search information, the interaction information corresponding to the search information to be produced includes search times corresponding to the first search information, and the attribute information corresponding to the search information to be produced includes stability information and/or production demand information of the first search information; the first search information is search information with a target search result, and the target search result is a search result meeting a preset condition;
when the search information to be produced comprises second search information, interactive information corresponding to the search information to be produced comprises browsing times of a target search result corresponding to the second search information, and attribute information corresponding to the search information to be produced comprises stability information and/or production demand information of the first search information; the second search information is search information which has a target search result but does not meet a target condition;
the stability information is used for representing that the probability of the value of the interactive information in the preset time length from the current moment to the later of the search information to be produced is higher than the probability of the value of the interactive information in the preset time length from the current moment to the earlier of the search information to be produced; the production demand information is used for representing the demand type of the search result to be produced corresponding to the search information to be produced.
In a possible implementation manner, in the instructions executed by the processor 601, the determining the importance of the search information to be produced based on the interaction information and the attribute information corresponding to the search information to be produced includes:
taking the interactive information of the search information to be produced as initial importance;
and adjusting the initial importance degree based on the attribute information and a preset adjustment rule to obtain the importance degree of the search information to be produced.
In a possible implementation manner, in the instructions executed by the processor 601, the determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced includes:
and determining the difficulty coefficient of the search information to be produced based on the corresponding times of unclassified search and the times of unproduction after being claimed when the search information to be produced is distributed to different user terminals.
In a possible implementation manner, in the instructions executed by the processor 601, the reassigning the search information to be produced based on the difficulty coefficient of the search information to be produced includes:
adjusting the quantity of virtual resources corresponding to the search information to be produced according to a preset resource adjustment rule based on the difficulty coefficient of the search information to be produced;
and sending the search information to be produced and indication information indicating the adjusted quantity of the virtual resources to a second user end matched with the search information to be produced so that the second user end obtains the corresponding quantity of the virtual resources after generating a target search result which corresponds to the search information to be produced and meets the preset condition.
In a possible implementation manner, in the instructions executed by the processor 601, when the importance is greater than or equal to the preset value, the method further includes:
determining second user terminals except the first user terminal which are matched with the search information to be produced;
and sending the search information to be produced to the second user terminal.
In one possible embodiment, the processor 601 executes instructions to determine the second client matching the search information to be generated according to the following method:
determining production demand information of the search information to be produced and attribute information of a plurality of candidate clients; the production demand information is used for representing the user demand type of the target search result corresponding to the search information to be produced;
and determining a second user end matched with the search information to be produced based on the production demand information of the search information to be produced and the attribute information of a plurality of candidate user ends.
In a possible implementation, in the instructions executed by the processor 601, the method further includes:
and sending reminding information to the first user side under the condition that the production state information is in an unclaimed state or a claimed unproductive state and the time information corresponding to the production state information does not meet a preset condition.
The embodiments of the present disclosure also provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program performs the steps of the information distribution method in the above method embodiments. The storage medium may be a volatile or non-volatile computer-readable storage medium.
The computer program product of the information distribution method provided in the embodiments of the present disclosure includes a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the steps of the information distribution method in the above method embodiments, which may be referred to specifically for the above method embodiments, and are not described herein again.
The embodiments of the present disclosure also provide a computer program, which when executed by a processor implements any one of the methods of the foregoing embodiments. The computer program product may be embodied in hardware, software or a combination thereof. In an alternative embodiment, the computer program product is embodied in a computer storage medium, and in another alternative embodiment, the computer program product is embodied in a Software product, such as a Software Development Kit (SDK), or the like.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. In the several embodiments provided in the present disclosure, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present disclosure. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are merely specific embodiments of the present disclosure, which are used for illustrating the technical solutions of the present disclosure and not for limiting the same, and the scope of the present disclosure is not limited thereto, and although the present disclosure is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive of the technical solutions described in the foregoing embodiments or equivalent technical features thereof within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present disclosure, and should be construed as being included therein. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims (12)

1. An information distribution method, comprising:
acquiring production state information of search information to be produced, which is distributed to a first user end;
determining a difficulty coefficient of the search information to be produced based on historical production state information of the search information to be produced under the condition that the production state information is in an unclaimed state or a claimed unproductive state and time information corresponding to the production state information meets a preset condition;
and redistributing the search information to be produced based on the difficulty coefficient of the search information to be produced.
2. The method of claim 1, wherein the determining the difficulty coefficient of the search information to be produced based on historical production state information of the search information to be produced comprises:
determining interactive information and attribute information corresponding to the search information to be produced;
determining the importance of the search information to be produced based on the interactive information and the attribute information corresponding to the search information to be produced;
and when the importance is smaller than a preset value, determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced.
3. The method according to claim 2, wherein when the search information to be produced comprises first search information, the interaction information corresponding to the search information to be produced comprises the number of searches corresponding to the first search information, and the attribute information corresponding to the search information to be produced comprises stability information and/or production demand information of the first search information; the first search information is search information with a target search result, and the target search result is a search result meeting a preset condition;
when the search information to be produced comprises second search information, interactive information corresponding to the search information to be produced comprises browsing times of a target search result corresponding to the second search information, and attribute information corresponding to the search information to be produced comprises stability information and/or production demand information of the first search information; the second search information is search information which has a target search result but does not meet a target condition;
the stability information is used for representing that the probability of the value of the interactive information in the preset time length from the current moment to the later of the search information to be produced is higher than the probability of the value of the interactive information in the preset time length from the current moment to the earlier of the search information to be produced; the production demand information is used for representing the demand type of the search result to be produced corresponding to the search information to be produced.
4. The method according to claim 2, wherein the determining the importance of the search information to be produced based on the interaction information and the attribute information corresponding to the search information to be produced comprises:
taking the interactive information of the search information to be produced as initial importance;
and adjusting the initial importance degree based on the attribute information and a preset adjustment rule to obtain the importance degree of the search information to be produced.
5. The method of claim 1, wherein the determining the difficulty coefficient of the search information to be produced based on historical production state information of the search information to be produced comprises:
and determining the difficulty coefficient of the search information to be produced based on the corresponding times of unclassified search and the times of unproduction after being claimed when the search information to be produced is distributed to different user terminals.
6. The method of claim 1, wherein the redistributing the search information to be produced based on the difficulty coefficient of the search information to be produced comprises:
adjusting the quantity of virtual resources corresponding to the search information to be produced according to a preset resource adjustment rule based on the difficulty coefficient of the search information to be produced;
and sending the search information to be produced and indication information indicating the adjusted quantity of the virtual resources to a second user end matched with the search information to be produced so that the second user end obtains the corresponding quantity of the virtual resources after generating a target search result which corresponds to the search information to be produced and meets the preset condition.
7. The method of claim 2, wherein when the importance is greater than or equal to the preset value, the method further comprises:
determining a third user side except the first user side matched with the search information to be produced;
and sending the search information to be produced to the third user end.
8. The method of claim 7, wherein the third client matching the search information to be produced is determined according to the following method:
determining production demand information of the search information to be produced and attribute information of a plurality of candidate clients; the production demand information is used for representing the user demand type of the target search result corresponding to the search information to be produced;
and determining a third user side matched with the search information to be produced based on the production demand information of the search information to be produced and the attribute information of a plurality of candidate user sides.
9. The method of claim 1, further comprising:
and sending reminding information to the first user side under the condition that the production state information is in an unclaimed state or a claimed unproductive state and the time information corresponding to the production state information does not meet the preset condition.
10. An information distribution apparatus, comprising:
the acquisition module is used for acquiring the production state information of the search information to be produced, which is distributed to the first user terminal;
the determining module is used for determining the difficulty coefficient of the search information to be produced based on the historical production state information of the search information to be produced under the condition that the production state information is in an unclaimed state or a claimed unproductive state and the time information corresponding to the production state information meets a preset condition;
and the distribution module is used for redistributing the search information to be produced based on the difficulty coefficient of the search information to be produced.
11. A computer device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when a computer device is running, the machine-readable instructions when executed by the processor performing the steps of the information distribution method of any one of claims 1 to 9.
12. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, performs the steps of the information distribution method according to any one of claims 1 to 9.
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Citations (3)

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CN107992604A (en) * 2017-12-14 2018-05-04 北京搜狗科技发展有限公司 The distribution method and relevant apparatus of a kind of task entry

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104102733A (en) * 2014-07-24 2014-10-15 百度在线网络技术(北京)有限公司 Search content providing method and search engine
JP2018032166A (en) * 2016-08-23 2018-03-01 富士通株式会社 Search result display method, search result display device, and search result display program
CN107992604A (en) * 2017-12-14 2018-05-04 北京搜狗科技发展有限公司 The distribution method and relevant apparatus of a kind of task entry

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