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A microblog-based advertising recommendation method and system

A microblog and advertising technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of low user information accuracy and poor advertising recommendation effect, and achieve accurate advertising, accurate judgment results, and effective results. Good results

Active Publication Date: 2017-02-15
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a microblog-based advertisement recommendation method, which aims to solve the problem that the existing method has low accuracy when mining user information, which leads to poor advertisement recommendation effect

Method used

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  • A microblog-based advertising recommendation method and system
  • A microblog-based advertising recommendation method and system
  • A microblog-based advertising recommendation method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] figure 1 A microblog-based advertisement recommendation method provided by the first embodiment of the present invention is shown, and the details are as follows:

[0044] Step S11, read the microblog data of the user.

[0045] In this step, the user's microblog data may be acquired in advance, and the acquired microblog data may be stored in the database, and when the microblog data of a certain user needs to be analyzed, the user's microblog data may be read again.

[0046] Step S12, initialize the read microblog data to obtain a set of microblog text terms, the initialization of the read microblog data includes removing special symbols, non-Chinese characters, and word segmentation in the read microblog data.

[0047]In this step, initialization processing is performed on each piece of microblog data, such as removing special symbols such as punctuation marks, removing non-Chinese characters, word segmentation, etc., and obtaining a set of microblog text terms after...

Embodiment 2

[0087] figure 2 The structure of a microblog-based advertisement recommendation system provided by the second embodiment of the present invention is shown. For convenience of description, only the parts related to the embodiment of the present invention are shown.

[0088] The microblog-based advertising recommendation system can be used for various information processing terminals connected to servers through wired or wireless networks, such as mobile phones, pocket computers (Pocket Personal Computer, PPC), palmtop computers, computers, notebook computers, personal digital assistants (Personal Digital Assistant, PDA), etc., can be a software unit, a hardware unit, or a combination of software and hardware running in these information processing terminals, or can be integrated into these information processing terminals as an independent pendant or run on these information processing terminals. In the application system of the processing terminal, where:

[0089] The first ...

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Abstract

The invention belongs to the field of data mining and provides a method and system for advertisement recommendation based a microblog. The method comprises the steps that microblog data are read; the microblog data are initialized and a microblog text lexical item set is obtained; stop words of the microblog text lexical item set are deleted and a microblog text original feature lexical item set is obtained; mapping is conducted on the microblog text original feature lexical item set and a feature lexical item dictionary, whether lexical items in the microblog text original feature lexical item set exist in the feature lexical item dictionary or not is judged, and the tf-idf values of the appearing lexical items are calculated and serve as the feature values of the lexical items; whether the lexical items of the feature lexical item dictionary exist in the microblog text original feature lexical item set or not is judged and the feature values of the lexical items which do not appear are marked to be zero; feature vectors of the feature values obtained through calculation are automatically classified to classifications divided in advance; according to an automatic classification result, advertisements are recommended to a user. The advertisements recommended by the method and system are accurate and the effect is good.

Description

technical field [0001] The invention belongs to the field of data mining, and in particular relates to a microblog-based advertisement recommendation method and system. Background technique [0002] With the popularity of social networking sites such as Sina Weibo and Tencent Weibo in China, social media such as Weibo has not only become a platform for netizens to publish, share, and disseminate information, but also has accumulated large-scale Internet user behavior data. In May 2012, Lu Yi, deputy general manager of Sina Weibo Business Department, pointed out that Sina Weibo has more than 300 million registered users, and users post more than 100 million Weibo content on average every day. The base of microblog users is large and the amount of data is large. If the microblog operation system can analyze and mine the existing massive data, it can make more accurate judgments on the interests of microblog users based on the analysis results. The advertisements pushed to Wei...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/353
Inventor 章昉刘明君赵中英
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI