虚线下方是机房内实时计算的处理流程,用户发帖和回复之后,将其写入Kafka消息队列,首先会对白名单用户过滤,然后一是依据分类模型的训练效果,的英语翻译

虚线下方是机房内实时计算的处理流程,用户发帖和回复之后,将其写入Kaf

虚线下方是机房内实时计算的处理流程,用户发帖和回复之后,将其写入Kafka消息队列,首先会对白名单用户过滤,然后一是依据分类模型的训练效果,对文本进行识别和分类,对垃圾帖和非垃圾帖进行判别;另外的方式就是通过算法对文本相似对度进行计算,进行相似贴统计,最后通过这些策略汇总,生成整个反垃圾算法。近期美柚对该算法又做了进一步的迭代,对用户的昵称、发帖时间间隔、发帖行为进行分析,由于采用反垃圾算法,使得美柚APP很好地预防了垃圾帖。
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源语言: -
目标语言: -
结果 (英语) 1: [复制]
复制成功!
Below the dotted line is the processing flow of real-time calculation in the computer room. After the user posts and replies, it is written into the Kafka message queue. First, the whitelist users are filtered. Then, according to the training effect of the classification model, the text is identified and classified. Distinguish between spam and non-spam posts; another way is to calculate the similarity of the text through the algorithm, calculate the similarity statistics, and finally summarize these strategies to generate the entire anti-spam algorithm. Recently, Meiyou has made further iterations on this algorithm, analyzing the user's nickname, posting interval, and posting behavior. Due to the use of anti-spam algorithm, Meiyou APP has prevented spam.
正在翻译中..
结果 (英语) 2:[复制]
复制成功!
Below the dotted line is the processing process of real-time calculation in the room, after the user posts and replies, write it to the Kafka message queue, first of all, the whitelist user filter, and then one is based on the training effect of the classification model, the text is identified and classified, the spam and non-junk posts are distinguished; Recently, Mei grapefruit to the algorithm made a further iteration, the user's nickname, posting interval, posting behavior analysis, because of the use of anti-spam algorithm, so that mei grapefruit APP well prevent spam.
正在翻译中..
结果 (英语) 3:[复制]
复制成功!
Under the dotted line is the processing flow of real-time calculation in the computer room. After users post and reply, they will write it into Kafka message queue. First, users in the white list will be filtered. Then, according to the training effect of the classification model, text will be identified and classified, and garbage posts and non garbage posts will be identified. The other way is to calculate the similarity degree of text through algorithm Finally, through the summary of these strategies, the whole anti spam algorithm is generated. In recent years, Meiyou has made further iterations on the algorithm, analyzing the user's nickname, posting time interval and posting behavior. Because of the anti spam algorithm, Meiyou app has well prevented spam posting.<br>
正在翻译中..
 
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