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Identifying member profiles containing disallowed content in an online social network

机译:识别在线社交网络中包含不允许内容的会员资料

摘要

The disclosed embodiments relate to a system for identifying member profiles containing disallowed content in an online social network. During operation, the system scans member profiles looking up words from one or more fields in “bad-word” and/or “good-word” dictionaries. These dictionaries were previously generated by examining member profiles that were judged by a human reviewer to be “good” profiles or “bad” profiles, and determining whether a word belongs in a specific dictionary based on frequencies of occurrence of the word in the good profiles and the bad profiles. Next, the system computes a score for each member profile based at least partially on occurrences of words from the dictionaries in the member profile. Finally, the system identifies a member profile as containing disallowed content based on the score.
机译:公开的实施例涉及一种用于识别在线社交网络中包含不允许的内容的会员资料的系统。在操作过程中,系统会扫描成员资料,以从“坏词”和/或“好词”字典中的一个或多个字段中查找单词。这些词典以前是通过检查由人工审阅者判断为“好”或“差”的个人资料,然后根据该字在好资料中的出现频率来确定某个单词是否属于特定词典而生成的。和不良的个人资料。接下来,系统至少部分地基于来自成员简档中的字典的单词的出现来计算每个成员简档的分数。最终,系统根据分数将成员资料标识为包含不允许的内容。

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