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【導(dǎo)讀】將文檔集表示成易于計(jì)算機(jī)處理的形式。特征表示與選擇、降維。根據(jù)適宜的權(quán)重計(jì)算方法表示文檔中各項(xiàng)的重要性。去標(biāo)點(diǎn)、多余空格、數(shù)字(可選)。沒有實(shí)際含義的詞,比如and,you,have等等。以詞項(xiàng)為特征組成高維特征向量

  

【正文】 EDT Similarity Join ? Tokenize: ? Each record is a set of tokens from a finite universe. ? Suppose each record is a single text document ? x = “yes as soon as possible” ? y = “as soon as possible please” ? x = {A, B, C, D, E} ? y = {B, C, D, E, F} word yes as soon as1 possbile please token A B C D E F 參考文獻(xiàn) Chuan Xiao, Wei Wang, Xuemin Lin, Jeffrey Xu Yu. Efficient Similarity Joins for Near Duplicate Detection. WWW 2020. Guoliang Li, Dong Deng, Jiannan Wang, Jianhua Feng. PassJoin: A Partition based Method for Similarity Joins. VLDB 2020.
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