A real-time bidding method and system for online recruitment advertisement recommendation

An advertising and bidding technology, which is applied to the real-time bidding method and system field of online job advertisement recommendation, and can solve the problem of difficult to achieve precise matching between users and advertisements.

Active Publication Date: 2020-10-23
ANHUI UNIVERSITY
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AI Technical Summary

Problems solved by technology

Considering the sparsity of online user data, it is difficult for collaborative filtering methods to achieve precise matching between users and advertisements

Method used

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  • A real-time bidding method and system for online recruitment advertisement recommendation
  • A real-time bidding method and system for online recruitment advertisement recommendation
  • A real-time bidding method and system for online recruitment advertisement recommendation

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Embodiment Construction

[0077] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0078] In the embodiment, an automatic encoder (AutoEncoder) integration technology based on multi-objective optimization parameter update transforms the real-time bidding advertisement recommendation problem into a multi-objective form, which improves the accuracy of advertisement recommendation and realizes the maximum flow realization, thereby Realize the accurate advertisement delivery of the system of the present invention to job seekers in real life, and maximize the interests of the job seekers, the system of the present invention, and advertisers.

[0079] Please combine figure 1 , figur...

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Abstract

The invention discloses a real-time bidding method and system for online recruitment advertising recommendation. In the method, a real-time bidding advertising recommendation strategy is designed using an AutoEncoder integration technology based on multi-objective optimization parameter updating. The resulting system provides more convenient, faster and more accurate job advertising recommendation for online job seekers. Meanwhile, the system can provide the same quality service on multiple platforms (such as mobile phone, computer and iPad). The system achieves a good effect on job advertising recommendation accuracy and platform diversity. Job seekers can get more accurate job choices. Advertisers can find employees meeting the needs of companies. With the system, more advertising investment can be obtained, and the benefits of multiple parties are maximized finally.

Description

technical field [0001] The invention relates to a real-time bidding system in the field of neural network deep learning, in particular to a real-time bidding method and system for online recruitment advertisement recommendation. Background technique [0002] With the rapid development of the economy, the competition for social employment is becoming more and more fierce. Many job seekers find jobs suitable for them through recruitment in the talent market and publicity in various media advertisements. Although these methods can achieve good results in some positions, it is difficult to adapt to the needs of a large number of job seekers in society. Nowadays, with the rapid development of Internet applications and big data technology, advertisements often appear on various websites or mobile devices, making today's advertising promotion methods more convenient and faster than traditional advertising promotion methods. Real-time bidding online advertising occupies an increas...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0275
Inventor 谢莹汪欣梅杨培全苏延森张磊程凡邱剑锋许荣斌
Owner ANHUI UNIVERSITY
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