Method and device for searching web pages according to tendency values

Abstract

The invention discloses a method and a device for searching web pages according to tendency values. The method comprises the following steps of: A), acquiring a plurality of web pages, and downloading the web pages to a web page database; B), performing name identification on characters of the plurality of web pages; C), performing tendency analysis on a plurality of names in the plurality of web pages to acquire the tendency values of the plurality of names of the plurality of web pages; D), making a forward index table, wherein the forward index table comprises the tendency values of the plurality of names; E), making an inverted index table, wherein the inverted index table comprises the tendency values of the plurality of names; F), inputting a search item, and decomposing the search item into at least one keyword; and G) calculating the sequencing weights of the web pages comprising the keywords according to the inverted index table, and outputting a search result. According to the method and the device, the web pages containing the search keywords are mainly sequenced according to the tendency values, so that the web pages with depreciative or ameliorative tendency are sequenced in front, and the search satisfaction of a user is promoted.

Description

technical field [0001] The invention relates to the fields of information retrieval and natural language processing, in particular to a method and device for searching webpages according to tendency values. Background technique [0002] The search results of existing mainstream search engines (such as Google, Yahoo, Baidu, etc.) do not consider the propensity value of the webpage or the propensity value of the keywords decomposed by the search item when sorting. [0003] At the Seventh World Wide Web Conference in 1998, Sergey Brin and Lawrence Page published a paper titled "The Anatomy of a Large-Scale Hypertextual Web Search Engine", which disclosed the index structure of the Google search engine. Neither the forward index table nor the backward index table of Google search engine contains any propensity value information. [0004] The patent number is ZL01109132.0, and the invention patent titled "Method for Judging the Positional Relevance of a Group of Query Keywords o...

AI Technical Summary

Problems solved by technology

[0006] In addition, if the existing search engine wants to obtain the propensity value of the nomenclature in the webpage, it can only analyze the propensity of the nomenclature in the search results after the search is completed, that is, online processing

The downside of such laggy online processing is that it is slow and the number of pages analyzed is limited

Images