Word trademark registration success rate assessment method and system

Abstract

The invention discloses a word trademark registration success rate assessment method and system. The method comprises the following steps of: comparing obtained to-be-registered word trademark information with trademark standard information of a trademark database so as to determine a first similarity; carrying out non-significant word filtration on the word trademark information according to a preset filter rule, and comparing the filtered word trademark information with the trademark standard information to determine a second similarity; and finally comprehensively assessing the first similarity and the second similarity, and outputting a trademark registration success rate, under related groups of related merchandise categories, corresponding to the to-be-registered word trademark information according to the assessment result. According to the method and system, influences of human factors are avoided, and the to-be-registered word trademark information can be comprehensively analyzed under related groups and related merchandise categories, so that the trademark registration success rate is effectively improved.

Description

technical field [0001] The invention relates to the technical field of trademark registration, in particular to a method and system for evaluating the success rate of word trademark registration. Background technique [0002] Word mark (WORD MARK) refers to the combination of Chinese characters and their pinyin letters or other words and letters, and is used on goods or services. A word mark is a major form of trademark. Because of its ease of calling, most companies will prefer words to be registered and used as trademarks. Because word marks have the advantages of clear expression, good visual effects, and easy recognition and remembering, the design of trademarks tends to be more and more word-oriented. However, according to the trademark examination standards, Chinese trademarks that have the same composition of Chinese characters but differ only in font or design, phonetic notation, and order of arrangement, which may easily cause the relevant public to misunderstand t...

AI Technical Summary

Problems solved by technology

[0003] At present, trademark search is mostly manual operation. Based on experience, similar words are manually entered on the trademark search platform, and whether the trademark can be applied for is judged artificially based on the search results. However, this method is time-consuming, labor-intensive, and labor-intensive. Different professional qualities make the search results more subjective, and there is also the problem that the search is not comprehensive enough, which further aggravates the probability of trademark registration being rejected

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