A mobile internet advertising delivery method

A mobile Internet and advertising technology, applied in the field of machine learning, can solve the problems of disturbing life, low delivery efficiency, disgust, etc., and achieve the effect of improving the browsing rate

Active Publication Date: 2020-08-04
深圳市烧麦网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, many advertisements are placed randomly, that is, each time a user comes, an advertisement is randomly selected to serve him, and the delivery efficiency is very low
At the same time, randomly placed advertisements interfere with the normal life of users and generally arouse users' resentment

Method used

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  • A mobile internet advertising delivery method

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Embodiment Construction

[0039] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0040] as attached figure 1 Shown, the inventive method carries out according to the following steps:

[0041] Step 1: Obtain the Weibo text data published by the user, create a vocabulary through Chinese word segmentation and noise content processing, and obtain the word vector representing the user's interest;

[0042]As a social networking platform, Weibo allows users to publish topics they are interested in, and also comment on and repost other users’ Weibo content; a Weibo generally includes the user ID, user nickname, Weibo The blog ID and Weibo text, pictures, audio and other information; the user’s Weibo text data can be obtained through the application programming interface provided by the Weibo open platform and the external call package of various programming languages; the user’s Weibo text data will be accumulated for a period of time The blog text dat...

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Abstract

The present invention discloses a mobile internet advertisement putting method. The method comprises: the step 1: obtaining microblog text data published by users, and obtaining term vectors expressing user interest; the step 2: calculating familiarity and interest similarity between users, and obtaining a similarity matrix between the users; the step 3: obtaining behavior data of first k users being the most similar to the users for advertisements, and employing a collaborative filtering method based on the users to generate a list of advertisements to be recommended; the step 4: obtaining user position information, finding out n users who are located at the same areas as the users, and employing the collaborative filtering method based on the users to generate a list of advertisements to be recommended again for the user; the step 5: performing linear weighting combination of two recommending lists, and obtaining an advertisement list to be recommended to the users; and the step 6: periodically updating term vector spaces expressing user interest and the user similarity matrix to be suitable for changing of the user interest.

Description

technical field [0001] The invention relates to the field of machine learning, in particular to a method for placing advertisements on the mobile Internet. Background technique [0002] Mobile Internet advertisements mainly use advertising banners, text links, multimedia and other methods to place advertisements on mobile smart terminals through online advertising platforms. With the rapid development of mobile Internet technology, compared with traditional media advertisements such as newspapers, magazines, TV, radio and outdoor advertisements, mobile Internet advertisements have unique advantages. However, at present, many advertisements are placed randomly, that is, each time a user comes, an advertisement is randomly selected to be served to him, and the delivery efficiency is very low. At the same time, randomly placed advertisements interfere with the normal life of users and generally arouse users' resentment. In the face of this situation, the personalized and prec...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0257G06Q30/0261G06Q30/0277
Inventor 刘兴伟刘阳彭薇牟峰夏梅宸黄小平
Owner 深圳市烧麦网络科技有限公司
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