Search method and device

Abstract

The invention discloses a search method and device. The search method includes that receiving search terms; analyzing the search terms and extracting numerical type demand information from the search terms; acquiring a search result according to the search terms and extracting an abstract from the search result according to the numerical type demand information to generate the abstract corresponding to the search result; providing the search result and the abstract corresponding to the search result. The search method is capable of meeting the search requirements of a user on semantics and also capable of ensuring the relevance to the search terms from the text.

Description

technical field [0001] The present invention relates to the field of search technology, in particular to a search method and device. Background technique [0002] With the development of computer technology and network technology, the Internet has become one of the main media for people to publish, obtain and exchange information. A large number of information resources exist in the Internet. Users can obtain the information they need through the Internet. In order to improve the efficiency of information acquisition, they can search through search engines to obtain the information they need. In order to enable users to understand the content of each search result in a short period of time, a summary of the search results can be provided to the user. The summary is a short text that can fully and accurately reflect a certain search result. [0003] Currently, abstracts mainly include: static abstracts, structured abstracts and dynamic abstracts. Among them, the static abst...

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Problems solved by technology

Among them, the static summary can be obtained offline, and the summary of each information resource is fixed. The problem is that it will not change due to the change of the search word entered by the user; the structured summary is mainly based on the word segmentation results of the search word, and provides information for each search word. The problem of storage is that the coverage is small and only for specific webpages; the dynamic summary is mainly generated online based on the current input of the user. For example, according to the position where the search word appears in the webpage, the surrounding information of the position can be extracted. The relevant content is used as a summary. The problem is that the content that the user really needs to find cannot be directly provided to the user.

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