Similar trademark query result ordering method, device and trademark server thereof

Abstract

The invention discloses a similar trademark query result ordering method, a device and a trademark server thereof. According to the method, by obtaining searched result trademarks and inputting the trademark approximation degree comprehensive quantized values of the trademarks subjected to comprehensive evaluation in terms of multiple features, and ordering the result trademarks according to the comprehensive quantized values, the result trademarks seen by a user is more suitable for the requirement of trademark identity or similarity in the Trademark Act in the sense, and the defects that single feature ordering cannot completely reflect various features of trademarks so as to cause failure in report and misreporting in trademark searching are avoided.

Description

technical field [0001] The invention relates to a method and device for sorting search results of similar trademarks and a trademark server thereof. Background technique [0002] Trademark search is of great significance to trademark registration, management and protection. Its role is reflected in: timely discovery of obstacles to trademark registration applications, finding out whether trademarks are safe to use, discovering trademarks registered by others, understanding the legal status of trademarks, searching Clear the detailed information on the scope of rights of the relevant trademark, etc. However, the result trademarks reported by the current trademark search system have the following defects and drawbacks: [0003] 1. Although there are many characteristic values ​​of the result trademark reported by the traditional trademark query system, such as: trademark Chinese name features, trademark English name features, pinyin letter features, graphic element coding fea...

AI Technical Summary

Problems solved by technology

[0003] 1. Although there are many characteristic values ​​of the result trademark reported by the traditional trademark query system, such as: trademark Chinese name features, trademark English name features, pinyin letter features, graphic element coding features, image feature string sets, etc., but any None of the characteristic values ​​can fully reflect the comprehensive characteristics of the combination of shape, sound and meaning of the trademark, which may lead to errors in the judgment of trademarks being identical or similar

[0004] 2. The trademark sorting method of the results of the traditional trademark search system is generally sorted according to a single feature, but two or more features cannot be sorted side by side. Therefore, the report and display of the sorting result trademarks are somewhat one-sided

[0005] 3. The result trademark ranking of the traditional trademark search system requires continuous interaction with the search user, and the ranking results do not have fixedness or standard consistency for judging the same or similar trademarks. Therefore, the trademark similarity ranking described in the traditional method is the same as There is a big difference between the same or similar trademarks in the sense of the Trademark Law

[0008] The above-mentioned patented technical solution can only solve the problem of sorting the matching similarities of the user's single or one-by-one retrieval requests separately, but cannot solve the problem of comprehensive ranking that can match the similarity of multiple retrieval requests generated by multiple retrieval requests. Any single characteristic of some trademarks cannot fully reflect the comprehensive characteristics of the combination of shape, sound and meaning of the trademark, and the results of sorting according to the similarity of a single characteristic may not meet the requirements of identical or similar trademarks in the sense of the Trademark Law. The similarity sorting results obtained may cause users of the trademark search system to mistakenly believe that the top-ranked trademarks may be the same or similar trademarks in the sense of the "Trademark Law", which may lead to serious mistakes in trademark registration, management and protection.

On the other hand, in the existing trademark search methods, the ranking of trademark similarity needs to be continuously interacted with the users of the trademark search system, so as to provide a variety of sorting results for users to refer to, which also increases the number of users. The workload of the query operation

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