Bi-LSTM-CRF model-based content-related advertisement putting method and system

A technology of advertising delivery and models, applied in neural learning methods, biological neural network models, marketing, etc., can solve the problems that the model is difficult to achieve a good recognition effect, it is not easy to automatically obtain features, and the advertising recommendation cannot be placed accurately.
CN112907301AActive Publication Date: 2021-06-04HARBIN INST OF TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
HARBIN INST OF TECH
Publication Date
2021-06-04

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Abstract

The invention discloses a Bi-LSTM-CRF model-based content-related advertisement putting method and system, belongs to the technical field of advertisement putting, and is used for solving the problem that a deep learning-based named entity recognition model for a small-scale data set is difficult to obtain characteristics automatically, so that the model is difficult to obtain a good recognition effect, and the problem that advertisement recommendation cannot be accurately put is further solved. According to the technical key points, the method comprises the following steps: inputting a training data set into a Bi-LSTM-CRF model for training, and obtaining an optimal prediction model; inputting to-be-predicted data into the optimal prediction model to obtain predicted commodity words; matching related advertisements according to the commodity words, and obtaining advertisement information with the highest matching degree; and putting the advertisement carrying the advertisement information. According to the method, the features of the commodity words are combined on the basis of the Bi-LSTM-CRF algorithm, the data are enhanced in a feature engineering mode, the data are made to have richer semantics, a system suitable for document commodity word extraction is constructed and used for content-related advertisement recommendation, and the precise advertisement putting effect is improved.
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Description

technical field

[0001] The invention relates to the technical field of advertisement delivery, in particular to a content-related advertisement delivery method and system based on a Bi-LSTM-CRF model. Background technique

[0002] The second-hand community is a network platform for users to publish and browse posts. Users can post posts to express their demands for idle transfers or browse posts to see if they meet their purchase intentions. For the second-hand community, the main way of income is advertising. Since the advertising process of the second-hand community needs to be accurately placed, it is necessary to start from the content of the community to analyze the user's purchase intention and use this to place advertisements, that is, content-related advertisements. The main idea of ​​contextual advertising is to deliver advertisements related to the content of the webpage while providing users with the content of the webpage. In the prior art, a method of keyword e...

Claims

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