CN-115470385-B - Recommendation method, recommendation device, electronic equipment and storage medium

CN115470385BCN 115470385 BCN115470385 BCN 115470385BCN-115470385-B

Abstract

The disclosure provides a recommendation method, a recommendation device, electronic equipment and a storage medium. The recommendation method comprises the steps of obtaining resource submitting characteristics of a target user, wherein the resource submitting characteristics comprise resource withdrawing characteristics used for representing historical statistics of withdrawing submitted resources of the target user, determining whether the target user meets the condition of target submitting activities participating in a target resource submitting mode according to the obtained resource submitting characteristics, wherein the target submitting activities are activities used for promoting the user to submit the resources in the target resource submitting mode, and recommending the target submitting activities to the target user under the condition that the target user meets the condition is determined.

Inventors

HE JIAHUAN

Assignees

北京达佳互联信息技术有限公司

Dates

Publication Date: 20260512
Application Date: 20220919

Claims (11)

1. A recommendation method, characterized in that the recommendation method comprises: Acquiring resource submitting characteristics of a target user, wherein the resource submitting characteristics comprise resource withdrawing characteristics used for representing historical statistics of resources submitted by the target user and submitting mode preference characteristics used for representing preferences of the target user on a resource submitting mode; Determining whether the target user meets the condition of target submitting activities participating in a target resource submitting mode according to the acquired resource submitting characteristics, wherein the target submitting activities are activities for promoting the user to submit resources through the target resource submitting mode; recommending the target submitting activity to the target user under the condition that the target user meets the condition is determined; The step of determining whether the target user meets the condition of participating in the target delivery activity of the target resource delivery mode according to the acquired resource delivery characteristics comprises the following steps: Determining the preference degree of the target user on the target resource delivery mode based on the delivery mode preference characteristics, and determining whether the preference degree meets a first preset condition; Determining the probability of withdrawing the resource after the target user submits the resource through the target submitting activity based on the resource withdrawing characteristic, and determining whether the probability meets a second preset condition; And under the condition that the preference degree meets the first preset condition and the probability meets the second preset condition, determining that the target user meets the condition of participating in the target submitting activity.
2. The recommendation method of claim 1, wherein the resource revocation characteristics comprise at least one of the following characteristics: The target user historically withdraws the proportion of the total frequency of the resources to the total frequency of the submitted resources; the target user historically withdraws the proportion of the total size of the resources to the total size of the submitted resources; the target user historically withdraws the proportion of the total frequency of the resources to the total frequency of the resources submitted by the submitting activities; the target user historically submits the resource through the submitting activity and withdraws the proportion of the total size of the resource to the total size of the resource through the submitting activity; The target user historically withdraws the total frequency of the resources after submitting the resources in the target resource submitting mode, and the total frequency of the resources submitted in the target resource submitting mode is taken as the proportion; the target user historically withdraws the total size of the resources after submitting the resources in the target resource submitting mode, and the total size of the resources submitted in the target resource submitting mode is taken as a proportion; The target user historically withdraws the total frequency of the resources after submitting the resources through the submitting activities of the target resource submitting mode, and the total frequency of the resources is proportional to the total frequency of the submitting activities of the target resource submitting mode; The target user historically withdraws the total size of the resources after submitting the resources through the submitting activities of the target resource submitting mode, and the total size of the resources is proportional to the total size of the submitting activities of the target resource submitting mode.
3. The recommendation method of claim 2, wherein determining a probability of withdrawing resources after the target user submitted resources through the target submitting activity based on the resource withdrawal characteristics comprises: and carrying out weighted summation on all the characteristics included in the resource withdrawal characteristics to obtain the probability of withdrawing the resource after the target user submits the resource through the target submitting activity.
4. The recommendation method according to claim 1, wherein said delivery style preference feature comprises at least one of the following features: the target user historically submits the proportion of the total frequency of the resources to the total frequency of the submitted resources through the target resource submitting mode; The target user historically submits the ratio of the total size of the resources to the total size of the resources through the target resource submitting mode.
5. The recommendation method of claim 4, wherein determining the target user's degree of preference for the target resource submission based on the submission preference characteristics comprises: And carrying out weighted summation on all the characteristics included in the preference characteristics of the delivery mode to obtain the preference degree of the target user on the target resource delivery mode.
6. The recommendation method according to claim 1, wherein, The first preset condition comprises that the first preset condition is larger than a first threshold value and smaller than a second threshold value; The second preset condition includes being smaller than a third threshold.
7. The recommendation method of claim 1, wherein recommending the target delivery activity to the target user comprises: and displaying the information of the target delivery activity to the target user in an interface for the target user to select the current resource delivery mode from a plurality of available resource delivery modes.
8. The recommendation method according to claim 1, wherein the step of determining whether the target user satisfies a condition of participating in a target delivery activity of a target resource delivery manner based on the acquired resource delivery characteristics comprises: inputting the acquired resource submitting characteristics into a pre-trained machine learning model to obtain a classification result of whether the target user output by the machine learning model meets the condition of participating in the target submitting activity.
9. A recommendation device, characterized in that the recommendation device comprises: The characteristic acquisition unit is configured to acquire resource submitting characteristics of a target user, wherein the resource submitting characteristics comprise resource withdrawing characteristics used for representing historical statistics of withdrawing submitted resources by the target user and submitting mode preference characteristics used for representing preference of the target user on a resource submitting mode; The determining unit is configured to determine whether the target user meets the condition of a target submitting activity participating in a target resource submitting mode according to the acquired resource submitting characteristics, wherein the target submitting activity is an activity for promoting the user to submit resources in the target resource submitting mode; a recommending unit configured to recommend the target delivery event to the target user in a case where it is determined that the target user satisfies the condition; The determining unit is further configured to determine a preference degree of the target user on the target resource submitting mode based on the submitting mode preference feature, determine whether the preference degree meets a first preset condition, determine a probability of withdrawing resources after the target user submits the resources through the target submitting activity based on the resource withdrawing feature, determine whether the probability meets a second preset condition, and determine that the target user meets a condition of participating in the target submitting activity when the preference degree meets the first preset condition and the probability meets the second preset condition.
10. An electronic device, comprising: At least one processor; at least one memory storing computer-executable instructions, Wherein the computer executable instructions, when executed by the at least one processor, cause the at least one processor to perform the recommendation method of any one of claims 1 to 8.
11. A computer-readable storage medium, wherein instructions in the computer-readable storage medium, when executed by at least one processor, cause the at least one processor to perform the recommendation method of any one of claims 1 to 8.

Description

Recommendation method, recommendation device, electronic equipment and storage medium Technical Field The present disclosure relates generally to the field of data processing technology, and more particularly, to a recommendation method, apparatus, electronic device, and storage medium. Background In the resource delivery interface, a plurality of resource delivery modes are generally provided for users to select, and when a certain resource delivery mode currently provides delivery activities for the users to promote the users to deliver the resources through the resource delivery mode, the willingness of the users to deliver the resources through the resource delivery mode can be greatly improved. For the resource submitting mode of the submitting activity, the submitting activity is not recommended to all users, and a part of users are selected to recommend the submitting activity to the resource submitting mode, however, the user evaluating mode of evaluating the users to determine whether to recommend the submitting activity to the user is currently evaluated, so that the promoting effect of the submitting activity is not ideal. Disclosure of Invention An exemplary embodiment of the present disclosure is to provide a recommendation method, apparatus, electronic device, and storage medium, which can solve a problem that a promoting effect of a delivery activity of a resource delivery manner is not ideal in a related art. According to a first aspect of the embodiment of the disclosure, a recommendation method is provided, wherein the recommendation method comprises the steps of obtaining resource submitting characteristics of a target user, wherein the resource submitting characteristics comprise resource withdrawing characteristics used for representing historical statistics of withdrawing submitted resources by the target user, determining whether the target user meets a condition of participating in target resource submitting mode or not according to the obtained resource submitting characteristics, the target submitting activity is used for promoting the user to submit resources in the target resource submitting mode, and recommending the target submitting activity to the target user under the condition that the target user meets the condition. Optionally, the resource delivery feature further comprises a delivery mode preference feature for characterizing preferences of the target user for resource delivery modes. Optionally, according to the obtained resource submitting characteristics, determining whether the target user meets the condition of participating in the target submitting mode of the target resource submitting mode or not includes determining the preference degree of the target user on the target resource submitting mode based on the preference characteristics of the submitting mode and determining whether the preference degree meets a first preset condition or not, determining the probability of withdrawing the resource after the target user submits the resource through the target submitting mode based on the resource withdrawing characteristics and determining whether the probability meets a second preset condition or not, and determining that the target user meets the condition of participating in the target submitting mode under the condition that the preference degree meets the first preset condition and the probability meets the second preset condition. Optionally, the resource withdrawal feature comprises at least one of a proportion of the total frequency of withdrawal resources to the total frequency of delivery resources in the target user history, a proportion of the total frequency of withdrawal resources to the total frequency of delivery resources in the target resource delivery mode after delivery of resources by the target user history, a proportion of the total frequency of withdrawal resources to the total frequency of delivery resources in the target user history after delivery of resources by the target activity, a proportion of the total frequency of withdrawal resources to the total frequency of delivery resources in the target user history, a proportion of the total frequency of withdrawal resources to the total frequency of delivery resources in the target resource delivery mode after delivery of resources by the target resource delivery mode, a proportion of the total frequency of withdrawal resources in the target resource delivery mode after delivery of resources by the target user history, and a proportion of the total frequency of delivery resources in the target resource delivery mode after delivery of resources by the target user history. Optionally, determining the probability of withdrawing the resource after the target user submits the resource through the target submitting activity based on the resource withdrawing feature comprises weighting and summing all features included by the resource withdrawing feature to obtain the probability of withdrawing t