1·Semantic relevancy computation is used to solve structural disambiguity in parsing syntactic.
引入了语义相关度计算是为了解决句法分析中的结构性歧义。
2·A trained knowledge base can take a text and compute a numerical measure of its relevancy to each category.
经过训练的知识库可以接收文本输入，并计算出文本与每个目录的相关度数值。
3·Sorting and relevancy enhancement (boosting) just use the distance calculations, and I'll show how they play out in practice later in the article.
排序和相关度改进仅使用距离计算，我将在本文的后面介绍它们的实际应用。
4·Relevancy enhancement: Use the distance as a boost factor in the score while allowing other factors to play a role too.
相关度改进：使用距离作为记录中的增强因素，同时允许其他因素发挥作用。
5·Aside from using the "second degree" of your social graph or taste neighbors, a social Relevancy Rank could front-load influencers.
除了社交网络中的“二级好友”和趣味相投者之外，社交相关度排名还可以把影响者排在前面。