Method and method for digging non-recalled type error correction word of searching engine

Abstract

The invention provides a method for digging a non-recalled type error correction word of a searching engine. The method comprises the following steps: the searching engine obtains a conversation log of a user, wherein the conversation log at least comprises a first conversation and a second conversation, and the first conversation and the second conversation respectively comprise a first searching word and a second searching word; the searching engine obtains related relation information between the first searching word and the second searching word; the searching engine judges whether the first searching word is the non-recalled type error correction word or not according to the related relation information. The invention further provides a device for digging the non-recalled type error correction word of the searching engine. According to the method and the device, modeling analysis on a user searching word sequence and a searching result is carried out so that the non-recalled type error correction word can be automatically found, and the recalling efficiency is considerably higher than that of manual searching; the manpower cost for finding out the non-recalled type error correction word is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of Internet search, in particular to a method and device for mining error-correcting words not recalled by search engines. Background technique [0002] Search engine search word error correction is an effective user search word correction and guidance method. When a user is searching and cannot provide a complete and accurate search term due to spelling mistakes or unclear memory, the search engine can correct the user's input or guide the user to the correct search term, so that the user can obtain the correct search term. Useful query results such as figure 1 (a), figure 1 (b), figure 1 As shown in (c), for example, the user originally wanted to search for "Zhongguancun", but entered the wrong "Zhongguancun", "Zhongguancun" or "zhongguancun", the search engine can give the correct error correction word "Zhongguancun" ". [0003] If the error correction words given by the search engine are incorrect, ...

AI Technical Summary

Problems solved by technology

[0005] (1) The user entered the correct search term, but the search engine made an error correction and gave an inappropriate error correction word;

[0006] (2) The user entered a wrong search word, but the error correction word given by the search engine is also incorrect;

And for the situation that (3) kind of search engine does not recall class error-correcting words, there is not yet a targeted solution in the prior art

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