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SEARCH TERM OBTAINING METHOD AND SERVER, AND SEARCH TERM RECOMMENDATION SYSTEM

机译:搜索词获取方法和服务器,以及搜索词推荐系统

摘要

The present disclosure provides a method, server, system, and a storage medium for search term obtaining and recommendation. A tag library is set to include multiple tags, multiple categories, and multiple application keywords stored therein. When it is determined that a received application keyword is a fuzzy keyword, a tag matching the received application keyword is obtained according to the received application keyword. A category corresponding to the matching tag is obtained. Categories are obtained and gathered to find a category from the obtained categories that appears most frequently. A tag corresponding to the category that appears most frequently is found as a recommended search term. As such, when a user has an unclear subjective search purpose, a potential requirement of the user can be excavated, or a user's requirements can be refined, to allow a search result better matching user's intentions to thus improve practicability.
机译:本公开提供了一种用于获取和推荐搜索词的方法,服务器,系统和存储介质。标签库被设置为包括多个标签,多个类别以及存储在其中的多个应用关键词。当确定接收到的应用关键词为模糊关键词时,根据接收到的应用关键词获得与接收的应用关键词匹配的标签。获得与匹配标签相对应的类别。获取类别并收集类别,以从获得的类别中找到出现频率最高的类别。找到与出现频率最高的类别相对应的标签作为推荐搜索词。这样,当用户具有不清楚的主观搜索目的时,可以挖掘出用户的潜在需求,或者可以完善用户的需求,以允许搜索结果更好地匹配用户的意图,从而提高实用性。

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