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A method and system for activity recommendation based on big data

A recommendation method and big data technology, applied in the field of big data analysis, can solve problems such as poor promotion effect of activities and inability to understand non-subscribers.

Active Publication Date: 2022-03-22
NANJING UNIV OF POSTS & TELECOMM +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, when different organizers have new events (for example: online events, offline events, etc.) that are about to be held, they are generally only pushed to the subscribers of the organizers, which will result in poor promotional effects and interest in the event Non-subscribers of will not be able to learn about the event;

Method used

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  • A method and system for activity recommendation based on big data
  • A method and system for activity recommendation based on big data

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Embodiment Construction

[0126] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0127] Embodiments of the present invention provide a method for recommending activities based on big data, such as figure 1 shown, including:

[0128] Step S1: Acquiring activity content;

[0129] Step S2: Obtain big data, which includes: historical behavior data of multiple users;

[0130] Step S3: Based on the big data, determine the target users with appropriate activity content among users;

[0131] Step S4: Push the activity content to the target users.

[0132] The working principle and beneficial effects of the above-mentioned technical scheme are:

[0133] Get event content [for example: event type, event time, event location, etc.]; obtain big data, wh...

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Abstract

The present invention provides a big data-based activity recommendation method and system, wherein the method includes: step S1: acquiring activity content; step S2: acquiring big data, which includes: historical behavior data of multiple users; step S3: based on Big data determines the target users with suitable activity content among users; Step S4: push the activity content to the target users. The activity recommendation method and system based on big data of the present invention determines the target users who may be interested in the activity content based on the big data, recommends the activity content to the target users, is not limited to pushing the activity to subscribers, and improves the publicity of the activity effect, and also enable more users who are likely to be interested in the event to learn about the event.

Description

technical field [0001] The invention relates to the technical field of big data analysis, in particular to a big data-based activity recommendation method and system. Background technique [0002] At present, when different organizers have new events (for example: online events, offline events, etc.) that are about to be held, they are generally only pushed to the subscribers of the organizers, which will result in poor promotional effects and interest in the event Non-subscribers of will not be able to learn about the event; [0003] Therefore, a solution is urgently needed. Contents of the invention [0004] One of the objectives of the present invention is to provide a big data-based activity recommendation method and system. [0005] A method for recommending activities based on big data provided by an embodiment of the present invention includes: [0006] Step S1: Acquiring activity content; [0007] Step S2: Obtain big data, which includes: historical behavior da...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 李超褚富强
Owner NANJING UNIV OF POSTS & TELECOMM