Long tail keyword-based search recommending method and device

Abstract

The invention discloses a long tail keyword-based search recommending method and device. The long tail keyword-based search recommending method comprises the steps: receiving a user search query word, judging a type of the query word is a long tail keyword; and when the type of the query word is the long tail keyword, searching an interactive website matched with the query word as a website capable of solving the problem of the long tail keyword to be preferably recommended to a user. According to the long tail keyword-based search recommending method, when receiving that the type of the query word searched by the user is the long tail keyword, the interactive website matched with the query word is used as the website capable of solving the problem of the long tail keyword to be preferably recommended to the user, thus the user is guided to the website most possibly solving the problem of the user, the problem that the website matched with the long tail keyword can not be obtained when the search word is the long tail keyword is solved, and the beneficial effects of increasing the user searching efficiency and meeting the user searching demand are achieved.

Description

technical field [0001] The invention relates to an index, in particular to a search recommendation method and device based on long-tail keywords. Background technique [0002] Search engine is an extremely important application in the current Internet field, and retrieval technology based on word segmentation index is the basic pillar of current mainstream search engine. At present, the search engine mainly provides the webpage with the highest matching degree according to the degree of matching between the webpage and the search query word. However, through the statistical analysis of the query words of a large number of users, it is found that users often use long-tail keywords as search query words to perform index queries, but in the prior art, search engines often only perform general word segmentation processing for long-tail keywords to index. However, after the word segmentation process, no web pages with a high degree of matching with the long-tail keywords of the ...

AI Technical Summary

Problems solved by technology

However, through the statistical analysis of the query words of a large number of users, it is found that users often use long-tail keywords as search query words to perform index queries, but in the prior art, search engines often only perform general word segmentation processing for long-tail keywords for indexing. However, after the word segmentation process, no web pages with a high degree of matching with the long-tail keywords of the query are indexed in the search database. At the same time, the long-tail keywords entered by the user usually contain very clear search requirements, so the search engine gives The search results cannot better meet the user's search needs; furthermore, the user may need to spend more time and effort to search in the search results webpage, or re-adjust the query words to search again, resulting in low search efficiency

Images