Book recommendation method

A recommendation method and book technology, applied in the application field of computer analysis technology, can solve problems such as poor operability, achieve the effect of improving operability, reducing the range of choices, and saving borrowing time

Inactive Publication Date: 2011-11-23
JIANGSU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the poor operability of existing book recommendation methods, the present invention proposes a sequence mode-based book recommendation method, which can more conveniently and accurately discover readers’ borrowing behavior habits and realize automatic book recommendation without Increase the burden on the management personnel of the circulation department of the library

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0047] Take the book lending database D shown in Table 1 as an example:

[0048]

[0049] Taking the library card number of the borrowing record as the primary key and the borrowing time as the secondary key, sort the records in the book lending database D and convert it into a sequence database SD composed of borrowing sequence data. The specific results are shown in Table 2 Show.

[0050]

[0051] According to the given minimum support threshold minsup, all borrowing behaviors of readers in the borrowing sequence database SD are found. Set minsup=30%, some results are shown in Table 3.

[0052]

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PUM

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Abstract

The invention discloses a book recommendation method based on a sequence pattern. The method comprises the following steps of: sequencing various records in a library borrowing database by taking a library card number as a primary key and borrowing time as a secondary key and transforming the records into a sequence database consisting of borrowing sequence data; solving a large book set of a frequent sequence pattern comprising only one book set in the sequence database, and mapping the large book set to be a group of adjacent integers; replacing various borrowing sequence data in the sequence database by the large book set contained in the sequence data; excavating a frequent sequence pattern set by using the large book set; finally finding out the maximum frequent sequence pattern set in the frequent sequence pattern set to construct a reader borrowing behavior library. Therefore, the reader borrowing behaviors in the library borrowing database can be discovered effectively, and the relevant books can be recommended to readers.

Description

technical field [0001] The invention belongs to the application field of computer analysis technology of library data, and in particular relates to a method for recommending books based on sequence patterns. Background technique [0002] Book recommendation means that library staff selectively display and recommend books to relevant readers through various forms and means. Book recommendation is a daily work in university libraries. The smooth implementation of this work can effectively bring into play the effectiveness of the collection of books, further improve the utilization rate of books and the service level and service awareness of the library. [0003] At present, the commonly used book recommendation method is that the managers of the circulation department recommend relevant books to meet the needs of readers according to the requirements of readers and their familiarity with the books in the library. , Readers' hobbies, etc. are well known. For small libraries, t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 孙蕾朱玉全陈耿
Owner JIANGSU UNIV
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