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Searching method of search engine system

A search engine and search method technology, applied in the field of search engines, can solve problems such as no one can answer in time, inconvenience, ordinary search engines cannot correctly understand the user's natural language, etc.

Inactive Publication Date: 2007-07-04
陈亚斌
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This inconveniences other non-Internet users who also need answers to their questions, or Internet users who are not online
Some non-Internet search technologies currently emerging can only solve some problems in limited areas, and require users to provide a fixed search request format
[0011] 2 Ordinary search engines cannot correctly understand search requests in natural language that users are most accustomed to
In other words, there are still a large number of questions that have not been answered in time or have never been answered

Method used

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  • Searching method of search engine system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Embodiment 1: The user submits a search request through SMS, searches the history database, manually classifies the questions, and answers the questions by the expert group. The program automatically votes on the search answers and returns the user's best answer. Specific steps are as follows:

[0041] Receiving user's search request question A from SMS;

[0042] Submit A to the historical search database. Set a question relevance threshold, such as 90%, and calculate the relevance of the search request question A submitted by the user to the question records in the historical search database. If there are records with a relevance greater than 90% of the set threshold, Then, the search answer is taken out from the historical search database, the pre-search result record set B is directly formed, and it is directly transferred to the answer processing center.

[0043] If there is no record whose correlation with A is greater than 90% of the set threshold, then manual problem...

Embodiment 2

[0052] Embodiment 2: Receiving a search request for a call from a user, searching a historical database, manually classifying questions, answering by an expert group, forming pre-search results, manually voting, and returning accurate results.

[0053] Receiving the user’s search request question AY from the phone;

[0054] Convert the user's voice search request into text A2, and submit A2 to the historical search database. Set a question relevance threshold, such as 90%, and calculate the relevance of the search request question A2 submitted by the user to the question records in the historical search database. If there are records that have a relevance to A2 greater than 90% of the set threshold, Then, the search answer is retrieved from the historical search database to form a pre-search result record set B2.

[0055] If there is no record whose correlation with A2 is greater than 90% of the set threshold, then manual classification is performed.

[0056] The problem classific...

Embodiment 3

[0064] Embodiment 3: The specific steps are as follows:

[0065] The user enters the search request question A3 on the search page of the Internet site;

[0066] Submit A3 to the historical search database. Set the question relevance threshold, such as 80%, and calculate the relevance of the search request question A3 submitted by the user to the question records in the historical search database. If there is a record that has a relevance to A3 greater than 80% of the set threshold, then The search answers are retrieved from the historical search database to form a pre-search result record set B3.

[0067] If there is no record whose correlation with A3 is greater than 80% of the set threshold, then automatic problem classification will be performed. According to the keywords submitted by the user, search the question classification database, first divide the question into search webpages, pictures, MP3, news, traffic, maps, software, positions, shopping, life, weather, general se...

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PUM

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Abstract

The invention relates to a hunting engine technique, specially the hunting method of user providing hunting request which is based on the nature language. The hunting system receives the hunting request which is provided in different mode, in nature language and in any domain; the hunting engine inquires the history hunting database for user hunting request, classifies the problem, inquires internet hunting engine or registered expert group, and forms a prehunting result recording set; then, every record of the prehunting result is polled automatically by program or by registered voters, calculating the mark of every record to form a affirmed hunting result record set; the hunting results which are affirmed are returned to user sequentially; the user requesting problem and hunting results which are affirmed in this time are stored to form hunting history database. User can classify, affirm and poll the hunting results issued this time.

Description

Technical field [0001] The invention relates to a search engine technology, in particular to a search method for solving a natural language search request submitted by a user. Background technique [0002] The emergence of the Internet has brought an unprecedented amount of information to people. It provides instant and rich information and has become a platform for all kinds of communication between people. It has profoundly affected the lives of modern people. But with the rapid increase in the number and content of websites, the Internet is like a huge encyclopedia without a catalog, making it impossible for people to find the information they want. Search is one of the most significant features of the Internet, and it is the second largest Internet application after mail. The emergence of search engines has added a table of contents and indexes to the encyclopedia on the Internet. No matter what we want to know, we can try to find answers from the Internet through search engi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 陈亚斌
Owner 陈亚斌
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