Semantic intelligent search method

Abstract

The invention relates to correlation techniques of search algorithm, in particular to a universal intelligent search method capable of understanding natural semantics and being widely applied in different fields such as shopping, music and books. The method mainly solves the problems that the present key word search algorithm is only that key word segments are matched with target contents based on an index, and the matching result is in a mass when semantic keywords are connected, and aims to realize the technical purposes as follows: a natural semantic search sentence can be initiatively analyzed and understood, is divided into semantic bodies rather than key words; the index matching of key words is replaced by the matching of bodies and sentence types, and finally the effect of understanding natural semantics is realized; and further, the method provides a more convenient and accurate search method for natural language search, in particular to voice interaction search.

Description

technical field [0001] The present invention relates to related technologies of search algorithms, specifically a general intelligent search method that understands natural semantics and can be widely used in different fields (such as shopping, music, books, etc.). Background technique [0002] The current mainstream search technology based on keyword matching limits the semantic analysis ability of computers in retrieval. The results returned by its search contain a lot of irrelevant information, the precision rate is low, and it cannot meet the real intention of the user. For example, "buy a black mobile phone", the words "buy" and "of" will affect the results of keyword search, and it may be possible that as long as the products with the word "black" become the search results, such as black socks, black mobile phone etc. [0003] Obviously, it is difficult for keyword search to understand a sentence in natural language, such as "black computer", "buy an Android phone",...

AI Technical Summary

Problems solved by technology

[0006] Insufficient one: compound keywords cannot be semantically related

[0011] the effect will be even worse, prompting that no related product was found, only the result of "computer" can be given, and "black" cannot be recognized at all

[0012] Shortcoming two: only specific "semantic" search, no general semantic effect

[0013] Insufficient Three: Checking is too complicated to adapt to the small screen of mobile devices

[0014] Insufficient Four: The current e-commerce cannot give full play to the value of mobile device voice

The value of the current voice equipment has not been brought into play. The role of voice is to replace typing, and there is a lack of technical support for background intelligent computing and natural semantics.

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