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A book label recommendation method based on spectral clustering and crowdsourcing technology

A recommendation method, spectral clustering technology, applied in the field of book label recommendation

Active Publication Date: 2018-03-16
ZHEJIANG UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a book label recommendation method based on spectral clustering and crowdsourcing technology for digital libraries in view of the shortage of existing recommendation systems for the use of search terms

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  • A book label recommendation method based on spectral clustering and crowdsourcing technology
  • A book label recommendation method based on spectral clustering and crowdsourcing technology
  • A book label recommendation method based on spectral clustering and crowdsourcing technology

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Embodiment Construction

[0025] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0026] like figure 1 As shown, a kind of book tag recommendation method based on spectral clustering and crowdsourcing technology of the present invention comprises the following steps:

[0027] (1) Screen out the user's retrieval data and retrieval click data from the log collection system or Web logs;

[0028] (2) Use the user's search data and search click data to construct a search term-book matrix, and obtain a search term-search term Laplacian matrix based on the search term-book matrix; specifically: get all user search results from the user search data word set Q={q 1 ,q 2 ,...,q n}, where n is the total number of search terms, and q is an independent search term; the book collection B={b 1 ,b 2 ,...,b m}, where m is the total number of clicked books, and b is an independent book; the search term-book matrix M is obtained according to the searc...

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Abstract

The invention discloses a book tag recommendation method based on spectral clustering and a crowdsourcing technology. After the method is applied to a digital library system, a Laplacian matrix is constructed through a retrieval click log of a user, retrieval words are clustered through the spectral clustering, a spectral clustering result is continuously optimized through the crowdsourcing technology, and finally, the optimized result is applied to a recommendation system. According to the method, the retrieval words of the user serve as tags, the clustering accuracy of the retrieval words is improved through combination of the spectral clustering and the crowdsourcing technology, and therefore the accuracy of the system in the aspect of tag recommendation is improved.

Description

technical field [0001] The invention belongs to book label recommendation technology based on spectral clustering and crowdsourcing technology, and relates to a book label recommendation method based on spectral clustering and crowdsourcing technology. Background technique [0002] With the continuous increase of Internet information and the explosive growth of information, reasonable and efficient classification of information has become the key to the effective use of information. The traditional categorization method is mainly carried out manually, and under the premise of massive information, this information categorization method has become unsustainable, so a new information categorization method with tags as the core has gradually emerged, and has become a The key to Internet applications. In the digital library system, the tags mainly come from the book information. At the same time, when the user uses the system, the user's search terms and book indexing informatio...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 张寅魏宝刚尹彦飞
Owner ZHEJIANG UNIV
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