Method and equipment for generating abstracts of searching results

Abstract

The present invention aims to provide a method and equipment for generating abstracts of searching results. The method comprises the steps of obtaining searching results corresponding to inquiry sequences and abstract extracting parameters of documents corresponding to the searching results by abstract-generating equipment; extracting abstract fragments corresponding to the inquiry sequences fromthe documents according to the inquiry sequences; and generating the abstracts corresponding to the inquiry sequences in combination with the abstract extracting parameters according to the abstract fragments. Compared with the prior art, the method and the equipment of the invention can enable the abstracts generated to fulfill inquiry demands of users through obtaining demand types of the inquiry sequences, and simultaneously improve searching experiences of users. The method and the equipment of the invention can also enable the abstracts generated to contain more information through obtaining matching information of the inquiry sequences and the searching results, thereby increasing searching efficiency of users and giving the abstracts generated better readability.

Description

technical field [0001] The invention relates to the technical field of network search, in particular to a technology for generating an abstract of search results. Background technique [0002] In today's extremely rich network of information, in order to quickly and accurately find the required information, search engines came into being. Although the search engine provides a relatively accurate ranking of search results, since the search engine provides services based on full-text indexing technology, as long as the document contains query keywords, it will be returned as the search result, and there are often some top search results that are not what the user needs. Therefore, users will judge the value of search results by reading the abstract. At this time, whether the abstract includes the information that users need becomes a crucial issue. [0003] There are mainly two existing abstract generation methods. One is the static abstract generation method, which centers ...

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Problems solved by technology

[0003] There are mainly two existing abstract generation methods. One is the static abstract generation method, which centers on the topic of the document, that is, "full-text abstract". Although the abstract generated by this method expresses the central meaning of the document well, it does not The information related to the user's query in the document may not be the subject of the document, but the information may be valuable to the user, so the static summary generation method is difficult to meet the user's query needs; the other is the dynamic summary generation method, according to the user's query key Words, extract the most relevant part of the query keywords from the document, but in many cases the query keywords do not directly reflect the user's query needs, so the dynamic summary generation method is also difficult to meet the user's query needs, and when the query keywords are scattered When there are multiple paragraphs in the document, the extracted summary is even more difficult to include the information the user needs

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