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Keyword recommendation method and system based on search engine

A search engine and recommendation method technology, applied in the Internet field, can solve problems such as low efficiency, poor local optimization ability, and low accuracy of recommended keywords.

Active Publication Date: 2018-06-22
久润(湖北)新能源科技有限公司
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  • Claims
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AI Technical Summary

Problems solved by technology

The framework structure and core algorithm of a search engine basically determine its efficiency. The current efficient intelligent search optimization algorithm based on particle swarm multi-objective big data tends to fall into a local optimal solution, and the local optimization ability is poor, which leads to recommendation to users. The accuracy of keywords is low and the efficiency is low

Method used

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  • Keyword recommendation method and system based on search engine
  • Keyword recommendation method and system based on search engine

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Embodiment Construction

[0058] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0059] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0060] Take the user's need to search for "extracurricular books suitable for children" as an example, combined with figure 1 The scheme of the present invention is described, figure 1 It is a schematic flow char...

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Abstract

The invention discloses a keyword recommendation method and system based on a search engine. The method includes the steps: acquiring input information inputted to the search engine by a user; extracting data information related to the input information from an engine database according to the input information of the user; acquiring the explosion frequency M of a fireworks algorithm; acquiring the explosion point of the K explosion of the fireworks algorithm according to N pieces of data information and the explosion frequency M; acquiring the explosion radius and the spark number of theK explosion of the fireworks algorithm according to the N pieces of data information and the explosion frequency M; performing explosion by the fireworks algorithm to obtain keywords related to the input information of the user; recommending the keywords to the user through the search engine for selection by the user. The data information related to the input information comprises the N piecesof data information. By the method and the system, keyword recommendation accuracy and efficiency are improved.

Description

technical field [0001] The invention relates to the Internet field, in particular to a search engine-based keyword recommendation method and system. Background technique [0002] With the rapid development of the Internet, online resources have reached a massive scale, with diverse structures, uneven distribution, and fast dynamic update speed. The update speed and storage of useful information are dynamic. As an effective information acquisition tool and an important network application, search engine technology helps people find the information they need from the vast ocean of information resources. When a user searches through a search engine, the search engine usually recommends relevant keywords according to the user's input, and the user can preferentially select a matching search condition from the recommended keywords. However, traditional search engines cannot provide users with interesting information in a big data environment, and the efficiency of searching for ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 王春枝王毅超宗欣露刘敏陈颖哲严灵毓吴盼任紫扉蔡文成王鑫周方禹
Owner 久润(湖北)新能源科技有限公司
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