Multi-Android-client service sharing method and system

Abstract

The invention provides an android application based vertical search method and system. The whole strategy method is supported by a crawler system, and core platforms of the system include a data analysis system, an intelligent search algorithm core and an interface project. The process of the whole system includes that the crawler system crawls effective data of specified websites regularly every day and archives; then the data analysis system preprocesses newly stored data every day, preprocessing includes detail processing of a large amount of applications, and preparation for searching basic search data is finished so far; after the interface project receives an http request, servlet node configuration information is distributed to corresponding classes to perform search processing; the core is to call an intelligent search algorithm and return a result set; data are provided to the outside through the interface project in a josn form. The method and system can help users to discover and acquire content more conveniently and better, really becomes an expressway linking the users with content websites including all big application stores and brings better search experience to the users.

Description

[0001] technical field [0002] The invention relates to a search method and system, in particular to a vertical search method and system based on android applications, belonging to the communication field. [0003] Background technique [0004] Regarding the current status of android applications, on the provider side, there are many application providers and the competition is fierce. It is difficult for users to find and select apps. The number and speed of apps included in major stores are different. The app search in a single store is not comprehensive enough. App recommendations have their own characteristics. an app store, and finally found it in a little corner. In addition, the ratings of single-store apps are not authoritative and the content of reviews is small. [0005] As far as app users are concerned, users hope to have a convenient and comprehensive way to find the app they want, preferably as comprehensive and convenient as a search engine; they hope t...

AI Technical Summary

Problems solved by technology

It is difficult for users to find and choose apps. The number and speed of apps included in major stores are different. The app search in a single store is not comprehensive enough. App recommendations have their own characteristics. an app store, and finally found it in a little corner

In addition, the ratings of single store apps are not authoritative and the content of reviews is less

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