Search engine method and system sensitive to geographical position

Abstract

The invention provides a webpage retrieval method sensitive to geographical positions, a search engine method and a search engine system. Firstly, a cloud server calculates geographical relevance of selected geographical hot spots of web pages in an off-line state and calculates scores of importance of each geographical hot spot of each web page by being combined with a network link structure obtained by a grid crawling unit, the scores are recorded in meta data of each corresponding web page as fields, and the meta data of each web page are stored in a space database of the server; when a user inquires on line, the server analyzes a geographical range of an inquire statement through natural language processing, calculates the geographical relevance of the inquire statement relative to the geographical hot spots according to the distance between the inquire statement and the geographical hot spots, calls the scores of corresponding geographical hot spots of the web pages in the space database, calculates scores of the web pages in a specific inquiry on line, sequences the results in a descending order, and outputs a retrieval result at the user side.

Description

technical field [0001] The invention provides a search engine method and system, in particular to a webpage retrieval method considering the geographic location information and link relationship of the webpage, and provides a corresponding search engine system, which belongs to the field of geographic information retrieval. Background technique [0002] With the development of information technology, the Internet has become an important source of data. In recent years, the popularization of cloud technology has not only solved the problem of data sharing, but also brought severe challenges to information mining and knowledge discovery. In the era of big data, how to effectively mine highly relevant and highly reliable data is particularly important. According to the research of Mark Sanderson et al. (Sanderson M, Kohler J. Analyzing geographic queries[C] / / SIGIR Workshop on Geographic Information Retrieval.2004,2), 15%-19% of web search queries are geographically related, bas...

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Problems solved by technology

[0003] The traditional web page ranking method mainly adopts the PageRank algorithm (Page L, Brin S, Motwani R, et al. The PageRank citation ranking: bringing order to the web [J]. 1999), which calculates the ranking of each web page based on the link relationship between web pages. Ranking scores, weighted according to topic, can return satisfactory results for general topic-related queries, but cannot be ranked according to the geographic relevance between search terms and web pages; Bruno Martins et al. Research on geographic information retrieval (Martins B, Calado P.Learning to rank for geographic information retrieval[C] / / Proceedings of the6th Workshop on Geographic Information Retrieval.ACM,2010:21) is for documents, and the final results are sorted by geographic relevance and text relevance. The method lacks consideration of the network structure and cannot filter out spam webpages; the work of Saeid Asadi et al. (Asadi S, Zhou X, Yang G. Using local popularity of web resources for geo-ranking of search engine results[J].World Wide Web, 2009, 12(2): 149-170) directly deletes the webpages that do not belong to the scope of the query from the network structure diagram, and the judgment of geographical correlation is not accurate. well culled

There is currently no method that can take into account geographic relevance and web link relationship well

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