Book search method based on tag

Abstract

The invention discloses a book search method based on a tag. The tag is used for describing subject content of a book, and the tag is added into an index file of the book search system. The tag can be used as a search key word so as to acquire a relatively wide search result by utilizing the traditional text search technique or the tag is used as a search limit condition to filter the search result, so that a needed book can be rapider and more accurate to find. In addition, search intention recommendation for the user is carried out according to the degree of correlation between the tag and a search statement, and functions such as multiple dimensions, fuzzy / exact match of the search statement and the like are supported. By adopting the method, the book search scene can be well satisfied, a friendly human-computer interaction way is provided, and the availability of the system can be greatly improved.

Description

technical field [0001] The invention relates to the field of digital resource search in digital libraries, in particular to a tag-based book search method. Background technique [0002] In recent years, a large amount of information content has poured into the Internet. In order to facilitate the management and retrieval of information, many efficient text-based information retrieval technologies have been proposed in the industry. [0003] At the same time, with the rise of digital libraries, it presents different characteristics from text retrieval in the field of digital resource retrieval, such as more stringent search restrictions and less metadata text information. [0004] In the book search scenario, users are often in one of the following states when searching for books: [0005] (1) Know what kind of book you need, but you don't know which books are under this category, and you don't know which one is more suitable for you; [0006] (2) Know that you want a certa...

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Problems solved by technology

[0006] (2) Know that you want a certain book, but can't remember the complete title, publisher and other information;

Because in the field of full-text search, the text does not have a unified structure, so the search dimension is limited to keyword matching, and there are few restrictions. As a result, the search results are often very broad and difficult to support scenario 3

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