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E-book classification and training method, device and equipment

A classification method and e-book technology, applied in the field of data processing, can solve problems such as misclassification and inaccurate classification, and achieve the effects of accurate results, improved accuracy, and reduced misclassification.

Inactive Publication Date: 2017-07-18
ZHANGYUE TECH CO LTD
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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 method, device and equipment for e-book classification and e-book classification training, so as to solve the problem that the current e-book classification is prone to inaccurate classification or misclassification

Method used

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  • E-book classification and training method, device and equipment
  • E-book classification and training method, device and equipment
  • E-book classification and training method, device and equipment

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0028] refer to figure 1 , shows a flow chart of steps of a method for e-book classification training according to Embodiment 1 of the present invention.

[0029] The electronic book classification training method of the present embodiment comprises the following steps:

[0030] Step S102: Obtain feature information of each e-book in the e-book collection to be trained.

[0031] The e-book collection to be trained includes a certain number of various types of e-books, and in this embodiment, the e-book classification training is performed based on the e-book collection.

[0032] Wherein, the feature information of each e-book may be any appropriate information characterizing the features of the e-book, including but not limited to: content feature information, attribute feature information, user behavior feature information, etc. of the e-book.

[0033] Step S104: Using at least two classification rules corresponding to the feature information, pre-classify the e-books in th...

Embodiment 2

[0047] refer to figure 2 , shows a flow chart of steps of a method for e-book classification training according to Embodiment 2 of the present invention.

[0048] The electronic book classification training method of the present embodiment comprises the following steps:

[0049] Step S202: Determine the collection of e-books to be trained.

[0050] Wherein, the e-book collection to be trained includes multiple e-books of different types.

[0051] Step S204: Obtain feature information of each e-book in the e-book collection to be trained.

[0052] Wherein, the extraction of feature information of each e-book can be realized by those skilled in the art in any appropriate manner according to the actual situation, including but not limited to: maximum matching method, maximum probability method word segmentation, vector space model method and so on.

[0053] In this embodiment, the feature information of the e-book includes, but is not limited to: content feature information, ...

Embodiment 3

[0095] refer to image 3 , shows a flow chart of steps of a method for classifying e-books according to Embodiment 3 of the present invention.

[0096] The electronic book classification method of the present embodiment comprises the following steps:

[0097] Step S302: Obtain feature information of electronic books to be classified.

[0098] The feature information of the e-books to be classified may be any appropriate information characterizing the features of the e-books, including but not limited to: content feature information, attribute feature information, user behavior feature information, etc. of the e-book.

[0099] Step S304: Classify the electronic books to be classified by using at least two classification rules corresponding to the feature information, and obtain corresponding classification results.

[0100] Wherein, each classification rule classifies e-books from one dimension, for example, from content feature dimension, from attribute feature dimension, fr...

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Abstract

The embodiment of the invention provides an e-book classification and training method, device and equipment. The e-book classification method comprises the steps that feature information of e-books to be classified is acquired; at least two types of classification rules corresponding to the feature information are used to classify the e-books to be classified, and corresponding classification results are obtained; the obtained classification results are weighted according to the weight corresponding to each type of classification rules; and the type of the e-books to be classified is determined according to a weighting result. Through the embodiment, the e-books are classified from multiple different dimensions; compared with a traditional method that a single classification algorithm is used to classify e-books, the result is more accurate, and the probability of misclassification will be greatly reduced.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of data processing, and in particular, relate to a method, device and device for classifying e-books, and a method, device and device for classifying e-books. Background technique [0002] E-books are publications that use computer technology to digitize information such as text, pictures, audio, and video. With the application of Internet technology more and more widely, traditional paper reading methods have been gradually replaced by e-books, and people are increasingly using the Internet and computer technology to download e-books through e-book reading applications used to read e-books to read. [0003] In this case, various services such as e-book recommendation and search have become important means for e-book service providers to promote e-book reading applications and improve users' reading experience. But whether it is recommendation or search, a clear classification based o...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/35
Inventor 周兴博佘建民李帅贾惠娟
Owner ZHANGYUE TECH CO LTD
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