Page region weight model implementation method

Abstract

The invention discloses a page region weight model implementation method. According to the principle of administrative region division, a geographic information library based on administrative region division and a relational diagram of adjacent geographic positions at the same level are established, a region queried by a user and a related region information weight queue are output dynamically with region information queried by the user and a weight value queue as input, a correcting algorithm is used for correcting the geographic information weight queue which is output dynamically, and then the geographic information weight queue which is corrected is output. A retrieval program conducts retrieval according to the output region weight queue, and therefore the effect of geographic ranking of page output is achieved. The page region weight model implementation method comprises the following steps: the geographic information library based on administrative region division is established, an adjacent relation information library is established, weight retrieval is conducted, weight is corrected, and page retrieval is conducted. The page region weight model implementation method is simple in algorithm and easy to implement, optimizes search results, enhances information localization and individuation, and is high in practicability and usability.

Description

technical field [0001] The invention relates to a method for realizing a page region weight model, in particular to a method for realizing the ranking of engine search results and the precise retrieval of user-corresponding area location information. It belongs to the field of engine search and information retrieval. Background technique [0002] With the continuous advancement of the Internet age, the Internet has become a huge treasure trove of knowledge. According to statistics, as of the end of December 2011, the number of Chinese websites was 2.3 million. At the same time, the number of Chinese web pages reached 86.6 billion. However, currently, the accuracy of the specified region information for searching is very poor, resulting in redundant search results and too many irrelevant web pages. There is an urgent need for a method for generating weights for specific geographical information to make search results more accurate and humanized. [0003] According to a lar...

AI Technical Summary

Problems solved by technology

[0005] (1) The results of regional information search are complicated and redundant;

[0006] (2) The accuracy rate of specific geographic information retrieval is low;

[0007] (3) The search results are not personalized for the specific geographical information that users are accustomed to

Although the present invention can provide regionalized information suitable for users, its disadvantage is that it simply matches geographical information without paying attention to the surrounding and high-level information of regional information, and the retrieval range is too narrow

Incomplete information localization

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