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Method, device and system for automatic recommendation of network content

A network content and recommendation method technology, applied in the field of automatic network content recommendation, can solve the problem of high cost and achieve the effect of eliminating manual data labeling

Active Publication Date: 2013-11-20
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

Moreover, training user classifiers requires manual labeling of a large amount of Internet access data, which is costly

Method used

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  • Method, device and system for automatic recommendation of network content
  • Method, device and system for automatic recommendation of network content
  • Method, device and system for automatic recommendation of network content

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Embodiment Construction

[0025] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and through specific embodiments.

[0026] Figure 1 to Figure 5b A first embodiment of the invention is shown.

[0027] figure 1 It is a schematic flowchart of the method for automatically recommending network content provided by the first embodiment of the present invention. see figure 1 , the method for automatically recommending network content includes: step 110, receiving network text data, and extracting keywords from the received network text data; step 120, using the keywords to train a keyword classifier in a manner of incremental learning; step 130. Receive network text data of a specific user, and classify the specific user according to the classification result of keywords extracted from the network text data of the specific user by the keyword classifier; step 140, classify the specific user according to the Classification of s...

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Abstract

The invention discloses a method, a device and a system for automatic recommendation of network content. The method for automatic recommendation of network content includes receiving network text data and extracting keywords from the network text data, training a keyword classifier by an incremental learning process according to the keywords, receiving the network text data of specific users, classifying the specific users according to classification results of the keywords extracted from the network text data of the specific users by the aid of the keyword classifier, and recommending network content, interested by the specific users, to the specific users according to the classification of the network content predefined on the basis of the classification of the specific users. The method, the device and the system for automatic recommendation of the network content have the advantages that recommended site categories can be changed according to changes of personal interests of the users, and a great quantity of manual data annotation during training of the classifier is omitted.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method, device and system for automatically recommending network content. Background technique [0002] In daily life, people rely more and more on the Internet. You can use the Internet to obtain information and connect with friends. As a result, some Internet sites began to collect users' Internet access data, and through the analysis of different users' Internet historical access data, they learned which fields of information users are more interested in, and recommended them to users based on such analysis results. Web content you'll love. [0003] In such methods of recommending network content for users, most of the methods require the use of machine learning algorithms to classify users, so as to determine the fields of interest of users. Most of the existing network content recommendation methods collect the Internet access data of users for a period of time, ma...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 吴先超陈龙
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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