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Method and system for advertisement recommendation based microblog

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

Active Publication Date: 2014-03-05
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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  • Method and system for advertisement recommendation based microblog
  • Method and system for advertisement recommendation based microblog
  • Method and system for advertisement recommendation based microblog

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Experimental program
Comparison scheme
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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 user's microblog data.

[0045] In this step, the user's microblog data can be obtained in advance, and the obtained microblog data can be stored in a database. When the microblog data of a certain user needs to be analyzed, the user's microblog data can be read.

[0046] Step S12: Initialize the read microblog data to obtain a collection of microblog text terms. The initialized read microblog data includes removing special symbols, non-Chinese characters, and word segmentation from the read microblog data.

[0047] In this step, each microblog data is initialized, such as removing special symbols such as punctuation marks, removing non-Chinese characters, word segmentation, etc., after the initialization processing, a collection of microblog text terms is obtained.

[0048] Step S13: Delete ...

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 ease of description, only the parts related to the embodiment of the present invention are shown.

[0088] The microblog-based advertisement recommendation system can be used for various information processing terminals connected to the server through a wired or wireless network, such as mobile phones, Pocket Personal Computers (PPC), handheld computers, computers, laptops, personal digital assistants (Personal Digital Assistant, PDA), etc., can be software units, hardware units, or a combination of software and hardware running in these information processing terminals, or can be integrated into these information processing terminals as independent pendants or run on these information In the application system of the processing terminal, among them:

[0089] The first data reading module 201 is used to read the user's micr...

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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 advertising 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 have not only become platforms for netizens to publish, share, and disseminate information, but also accumulate large-scale behavioral data of netizens. In May 2012, Lu Yi, deputy general manager of the Sina Weibo Business Unit, pointed out that Sina Weibo has more than 300 million registered users, and users publish more than 100 million Weibo content on average every day. The base of Weibo users is large and the amount of data is large. If the Weibo operating system can analyze and mine the existing massive data, it can make a more accurate judgment on the interests of Weibo users based on the results of the analysis, and based on the interests of Weibo users For a...

Claims

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Application Information

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Patent Type & Authority Applications(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
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