A Book Retrieval Method Based on Feature Extraction

A feature extraction and book technology, applied in the field of network communication, can solve the problems of inability to meet the reading needs of users, large time cost and manpower investment, and unfavorable selection of readers, so as to increase the reading experience, save frequent queries, and facilitate reading. Effect

Active Publication Date: 2019-06-11
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the common book retrieval methods often use books to be displayed in separate libraries, librarians to classify books regularly, and bookstore salespersons to explain books manually. This is not only in terms of efficiency but also not conducive to readers’ selection. The time cost and manpower input are large. Meet the reading needs of users

Method used

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  • A Book Retrieval Method Based on Feature Extraction
  • A Book Retrieval Method Based on Feature Extraction
  • A Book Retrieval Method Based on Feature Extraction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] Embodiment 1: as figure 1 Shown:

[0027] Step1: Establish a book information library: collect data on the book information in the library, extract book label information, including book title, book field and book publishing information, and code and identify the collected books according to [field-name-publishing] Store in the form of Publishing House-Publication Date], such as [Economic Management-Crazy Economics-Nanhai Publishing House-September 2013].

[0028] Step2: Establish a clustered book information library:

[0029] Step2.1: Bookmark clustering:

[0030] 1. First, integrate the bookmark information stored in sequence according to the code, and use the Spearman rank correlation coefficient method to establish the correlation coefficient between the book label sequence information, and define the calculation formula of the clustering reference coefficient as:

[0031]

[0032] Among them, r s is Spearman's correlation coefficient value, n is the sample s...

Embodiment 2

[0042] Embodiment 2: as figure 1 As shown in the figure, a book retrieval method based on feature extraction, first collects data for book information in the library, extracts book label information, performs code identification, establishes a book information database, and stores book information; secondly, collects books based on book label information elements. category, classify the clustered books as the original library source for retrieving books, and combine the original book tags to reorganize the book features, extract new feature phrases of each category of books, and use them as the clustered book information library; then, extract the user The frequency of accessing books falling into a certain category in the clustered book information base is used to establish a user access model to form a user reading pattern label as a user feature label value; finally, a matching correlation model is established to provide a list of retrieved books for successful matching user...

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PUM

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Abstract

The invention relates to a book retrieval method based on feature extraction, which belongs to the technical field of network communication. The present invention first collects data on the book information of the library, extracts the book label information, performs code identification, establishes a book information database, and stores the book information; secondly, performs book clustering according to the book label information elements, and performs category coding on the clustered books As the original library source for retrieving books, combined with the original book tags to reorganize the book features, extract new feature phrases of each category of books as the clustered book information base; According to the frequency of categories, a user access model is established to form a user reading pattern label as a user feature label value; finally, a matching correlation model is established to provide a list of retrieved books for successful matching users. The invention can perform real-time retrieval aiming at user access characteristics, and can accurately meet user access requirements.

Description

technical field [0001] The invention relates to a book retrieval method based on feature extraction, which belongs to the technical field of network communication. Background technique [0002] With the rapid increase in the number of books and the promotion of reading books by relevant departments, more people have begun to re-open the reading experience of book knowledge. However, due to the various types of books and the large number of them, and they are all disorderly displayed in the book collection or library, it virtually increases the difficulty for people to consult books and affects people's reading experience. How to make people read books more conveniently and find the types of books they need more quickly in the fast-paced life is the core issue of book retrieval nowadays. However, the common book retrieval methods often use books to be displayed in separate libraries, librarians to classify books regularly, and bookstore salespersons to explain books manually...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/242G06K9/20G06K9/62
CPCG06F16/242G06V10/225G06F18/2321G06F18/22
Inventor 龙华刘永召
Owner KUNMING UNIV OF SCI & TECH
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